Computer-implemented method for guiding positioning of a wearable device on a user

Abstract

Devices and computer-implemented methods for guiding positioning of a wearable device (116) on a user (112) are disclosed. The wearable device (116) comprises at least one motion sensor (118), wherein the method comprises using a mobile device (114) comprising at least one camera (120) and at least one display device (122), wherein the method comprises the following steps: i) receiving motion data from the motion sensor (118) of the wearable device (116) in a starting position of the wearable device (116); ii) receiving image data of at least a part of a chest of the user (112) and at least a part of the wearable device (116) from the camera (120) of the mobile device (114); iii) determining a target positioning area for positioning the wearable device (116) on the chest of the user (112); iv) determining a direction of motion of the wearable device (116) towards the target positioning area using the motion data from the motion sensor (118) of the wearable device (116) in the starting position and the target positioning area; v) providing guiding signals (128) via the display device (122) of the mobile device (114) indicating the direction of motion; and vi) providing at least one signal of confirmation via the wearable device (116) in case the wearable device (116) is in the target positioning area.

Description

[0001] August 1, 2025

[0002] Computer-implemented method for guiding positioning of a wearable device on a user

[0003] Technical Field

[0004] The invention relates to computer-implemented methods for guiding positioning of a wearable device on a user, to mobile devices, kits, computer programs and computer-readable storage media for performing the methods. The devices and methods according to the present invention may be used for long-term monitoring of body functions, such as for long-term monitoring of a mechanical characteristic of a heart of a user. The invention may both be applied in the field of home care as well as in the field of professional care, such as in hospitals. Other applications are feasible.

[0005] Background art

[0006] In the field of cardiac signal monitoring, wearable devices are known making use of motion sensors, such as acceleration sensors and / or gyroscopes, to determine gyrocardiograms of a user. The wearable device may be attached to the user via a wearable sensor patch, e.g. to a chest of the user. The motion sensors of the wearable may be used to detect motions of the chest of the user that can be associated with at least one mechanical characteristic of a heart of the user. The placement of the wearable sensor patch, such as an orientation and / or a body location on the user, may be crucial, in particular for high-performance micro- as well as macro-motion detection and classification. An automatic check of the placement of the wearable sensor patch, such as an orientation and / or a body location on the user, may be performed to verify correct placement and / or compensate for sensor misplacement, specifically for minor to medium sensor misplacement. However, automatically checking the placement of the user may only be used for preventing measurements with the wearable device in case of medium to strong misplacement.

[0007] Methods and devices are known for guiding and / controlling application of medical devices on a user. For example, US 10,810,758 B2 discloses a method of directing positioning of ECG electrodes on a patient including receiving at a processor an image of a patient from a camera of an augmented reality device. The processor analyzes the image for anatomical landmarks on the patient and generates an overlay image. The overlay image is shown over the real time image of the patient on the augmented reality device. The overlay image includes visual indicators of the desired electrode placement. The method further includes determining whether the actual location of each of the electrodes is correct and provides information on the augmented reality device as to whether the electrodes and lead placement is correct. An image of the electrode placement is stored with the ECG measurements, which can be used to verify correct electrode placement and to confirm consistent electrode placement over serial measurements. The augmented reality device allows for gesture control by the clinician.

[0008] US 2019 / 0341149 Al describes medical devices and related augmented reality systems and methods. A method of facilitating operation of a medical device involves identifying a current state of a user interface of the medical device based at least in part on a portion of the medical device captured by an imaging device, generating guidance information pertaining to the current state of the user interface, and presenting a guidance overlay including the guidance information pertaining to the current state of the user interface using augmented reality.

[0009] US 2021 / 0280291 Al discloses computer implemented methods for supporting an operation of a drug delivery device including the steps of: capturing, by a camera of a mobile device, a marker representative of a position of the drug delivery device; transmitting, by the mobile device, camera data of the camera relating to the captured marker to a provider; providing in response to the transmitted camera data, by the provider, drug delivery device data to the mobile device; displaying, by the mobile device, in a camera preview the received drug delivery device data, wherein the displaying may be controlled by a projection of the marker. The drug delivery device data includes instructions to a user relating to an operation of the drug delivery device.

[0010] US 2024 / 161491 Al describes a method including obtaining an ultrasound image of an anatomical area from an ultrasound imaging device; inputting the ultrasound image into a first stage of a convolutional neural network, the first stage configured to determine key-point locations of the anatomical area; generating, for each of the key -point locations, a cropped region of the ultrasound image; inputting each of the cropped regions into a second stage of the convolutional neural network, the second stage configured to locate an anatomical landmark of the anatomical area; and outputting a location of the anatomical landmark.

[0011] US 2020 / 121249 describes a method and an apparatus comprising a processor to provide guidance for placement of a wearable device. At least one image of the body of a subject is acquired from one or more cameras. The at least one acquired image is analyzed to recognize body parts of the subject and to identify a body part of the subject at which to place the wearable device. Guidance to place the wearable device at the identified body part of the subject is provided.

[0012] Despite the advantages achieved by known methods and devices, several technical challenges remain. Specifically, precisely positioning the wearable device on the user may still be technically challenging. Further, an automatic placement detection may only be used to prevent measurements and / or inform the user to remove and replace or reposition the wearable sensor patch. In case of repositioning of the wearable device, reduced adhesive performance of the sensor patch may have to be accepted. Thus, there is a need for ensuring precise positioning of wearable devices on the user.

[0013] Problem to be solved

[0014] It is therefore desirable to provide methods and devices which at least partially address above-identified technical challenges. Specifically, devices and computer-implemented methods for guiding positioning of a wearable device on a user shall be provided which enable precisely positioning the wearable device on the user.

[0015] Summary

[0016] This problem is addressed by computer-implemented methods for guiding positioning of a wearable device on a user, mobile devices, kits, computer programs and computer-readable storage media with the features of the independent claims. Advantageous embodiments which might be realized in an isolated fashion or in any arbitrary combinations are listed in the dependent claims as well as throughout the specification. As used in the following, the terms “have”, “comprise” or “include” or any arbitrary grammatical variations thereof are used in a non-exclusive way. Thus, these terms may both refer to a situation in which, besides the feature introduced by these terms, no further features are present in the entity described in this context and to a situation in which one or more further features are present. As an example, the expressions “A has B”, “A comprises B” and “A includes B” may both refer to a situation in which, besides B, no other element is present in A (i.e. a situation in which A solely and exclusively consists of B) and to a situation in which, besides B, one or more further elements are present in entity A, such as element C, elements C and D or even further elements.

[0017] Further, it shall be noted that the terms “at least one”, “one or more” or similar expressions indicating that a feature or element may be present once or more than once typically will be used only once when introducing the respective feature or element. In the following, in most cases, when referring to the respective feature or element, the expressions “at least one” or “one or more” will not be repeated, non-withstanding the fact that the respective feature or element may be present once or more than once.

[0018] Further, as used in the following, the terms "preferably", "more preferably", "particularly", "more particularly", "specifically", "more specifically" or similar terms are used in conjunction with optional features, without restricting alternative possibilities. Thus, features introduced by these terms are optional features and are not intended to restrict the scope of the claims in any way. The invention may, as the skilled person will recognize, be performed by using alternative features. Similarly, features introduced by "in an embodiment of the invention" or similar expressions are intended to be optional features, without any restriction regarding alternative embodiments of the invention, without any restrictions regarding the scope of the invention and without any restriction regarding the possibility of combining the features introduced in such way with other optional or non-optional features of the invention.

[0019] In a first aspect of the present invention, a computer-implemented method for guiding positioning of a wearable device on a user is disclosed. The wearable device comprises at least one motion sensor. The method comprises using a mobile device comprising at least one camera and at least one display device.

[0020] The method comprises the following steps, which may be performed in the given order. A different order, however, may also be feasible. Further, two or more of the method steps may be performed simultaneously. Thereby, the method steps may at least partly overlap in time. Further, the method steps may be performed once or repeatedly. Thus, one or more or even all of the method steps may be performed once or repeatedly. The method may comprise additional method steps, which are not listed herein.

[0021] The method comprises the following steps: i) receiving motion data from the motion sensor of the wearable device in a starting position of the wearable device; ii) receiving image data of at least a part of a chest of the user and at least a part of the wearable device from the camera of the mobile device; iii) determining a target positioning area for positioning the wearable device on the chest of the user; iv) determining a direction of motion of the wearable device towards the target positioning area using the motion data from the motion sensor of the wearable device in the starting position and the target positioning area; v) providing guiding signals via the display device of the mobile device indicating the direction of motion; and vi) providing at least one signal of confirmation in case the wearable device is in the target positioning area.

[0022] The term “computer-implemented method” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a method involving at least one computer and / or at least one computing unit. The computer and / or computer unit may comprise at least one processor which is configured for performing at least one of the method steps of the methods according to the present invention. Specifically, each of the method steps may be performed by the computer and / or computer unit. The method may be performed completely automatically, specifically without user interaction.

[0023] The term “guiding” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of providing one or more instructions, indications and / or information to a user. Specifically, the method of guiding positioning of the wearable device on the user may comprise providing one or more instructions, indications and / or information to the user indicating one or more of an actual position of the wearable device, an actual orientation of the wearable device, a target position of the wearable device, a target orientation of the wearable, a direction of motion towards the target position and / or a direction of rotation towards target orientation. The guiding may comprise, as will be outlined in further detail below, providing the one or more instructions, indications and / or information via one or more of visual means, acoustic means and / or haptic means to the user.

[0024] The term “positioning” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of attaching of a first object or element to another second object or element. Specifically, the positioning of the wearable device on the user may comprise attaching the wearable device to the user, in particular to the body of the user, e.g. onto a skin site of the user. The positioning may comprise moving the wearable device to the user and mounting the wearable device to the body of the user, e.g. onto a skin site of the user. The wearable device may be mounted to the body of the user e.g. by at least one adhesive surface and / or a body strap, such as a chest strap, holding the wearable device fixedly attached to the body of the user. The positioning may specifically comprise attaching the wearable device to a desired position on the user, preferably in a desired orientation of the wearable device.

[0025] The term “wearable device” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a device that is configured to be body-worn by the user. The wearable device may comprise, specifically may be, a sensor configured for cardiac motion monitoring. The wearable device may be configured for being in contact with the body of the user, in particular during an active wear time of the wearable device. During the active wear time, the wearable device may generate sensor data related to the user, such as acceleration sensor data in order to determine a gyrocardiogram of the user. The wearable device may be configured for being mounted on a skin site of a body of the user, preferably on a chest of the user. The wearable device may comprise a surface, such as a flat or plane surface, configured for being placed on the user, e.g. on the skin of the user. The surface may be an adhesive surface. Specifically, the wearable device may comprise an adhesive surface for attachment to the skin of the user. For example, the adhesive surface may comprise a plaster or an adhesive strip. The plaster or the adhesive strip may comprise an adhesive material. Alternatively or in addition, the wearable device may be attached to the body of the user by using a body strap, such as a chest strap. The term “user” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a human being in a healthy condition or suffering from one or more diseases. The user may be a patient. As an example, the user or the patient may be a human being suffering from or suspected of suffering from a cardiovascular disease. However, additionally or alternatively, the invention may be applied to other types of users wishing to monitor cardiac motion signals. The user may specifically be the patient himself or herself, specifically in homecare applications. The user may specifically be a person handling the wearable device.

[0026] The term “motion sensor” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a device configured for detecting motion. Specifically, the motion sensor may be configured for detecting the motion sensor's intrinsic motion or the motion of another device or object. The wearable device may comprise the motion sensor in a way to form a single moveable unit. Thus, specifically, the motion sensor may be fixedly connected to or mounted in the wearable device. A motion of the wearable device may be equal to a motion of the motion sensor. In other words, the motion sensor's intrinsic motion may be equal to the motion of the wearable device. The motion sensor may comprise at least one sensor selected from the group consisting of: an acceleration sensor; a gyroscope; an orientation sensor; a magnetometer.

[0027] The term “acceleration sensor” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a sensor configured for determining acceleration, specifically along at least one motion direction. The acceleration sensor may specifically be configured for determining at least one acceleration of the motion sensor's intrinsic motion along at least one motion direction. The acceleration sensor may be configured for generating sensor data comprising the at least one acceleration, specifically the at least one acceleration along at least one motion direction. The acceleration determined by the acceleration sensor may be a static acceleration, such as gravity, and / or a dynamic acceleration, such as an acceleration caused by a movement or motion of the motion sensor. The acceleration determined by the acceleration sensor may be a total acceleration comprising any static acceleration, such as gravity, and any dynamic acceleration of the motion sensor, such as an acceleration caused by a movement or motion of the motion sensor, specifically in at least one of the three spatial directions x, y and z, more specifically in all three spatial directions x, y and z. The acceleration sensor may be a capacitive accelerometer, a piezoelectric accelerometer and / or a microelectromechanical accelerometer.

[0028] The term “gyroscope” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a sensor configured for determining at least one angular velocity, specifically along at least one axis of rotation. The gyroscope may specifically be configured for determining at least one angular velocity of the motion sensor's intrinsic motion. The gyroscope may be configured for generating sensor data comprising the at least one angular velocity, specifically the at least one angular velocity along at least one axis of rotation. For example, the gyroscope may be or may comprise at least one microelectromechanical system (MEMS) gyroscope. The MEMS gyroscope may specifically provide a small, compact and cheap gyroscope which can be easily integrated into the wearable device.

[0029] The term “orientation sensor” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a sensor configured for determining an orientation, specifically a spatial orientation. The orientation sensor may specifically be configured for determining an orientation of the motion sensor. The orientation sensor may be configured for generating sensor data comprising the orientation, specifically the at least one spatial orientation.

[0030] Alternatively or additionally, the motion sensor may comprise, specifically may be, an inertial measurement unit. The term “inertial measurement unit” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a sensor or a combination of sensors configured for determining spatial acceleration data and angular velocity. The inertial measurement unit may comprise a combination of at least one acceleration sensor, at least one gyroscope, and, optionally, at least one magnetometer. The inertial measurement unit may be configured for determining spatial acceleration data and angular velocity of the motion sensor's intrinsic motion, specifically in or along one or more independent spatial directions, preferably in or along all three independent spatial directions. The motion sensor may be configured for generating at least one sensor signal indicative of the detected motion. The sensor signal of the motion sensor may also be referred to as “motion data”. The motion data may specifically comprise direct sensor signals generated by the motion sensor, e.g. spatial acceleration data and / or angular velocity, and / or indirect sensor signals, such as data derived from the direct sensor signal. The motion data may comprise data selected from the group consisting of spatial position data; spatial velocity data; spatial acceleration data; angular position data; angular velocity data; angular acceleration data. The wearable device may be configured for communicating the motion data to the mobile device.

[0031] The term “mobile device” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a mobile electronics device, more specifically to a mobile communication device, such as a cell phone or smartphone. Additionally or alternatively, the mobile device may be or may comprise a tablet computer or another type of portable computer having at least one camera and at least one display device.

[0032] The term “camera” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a device having at least one imaging element configured for recording or capturing spatially resolved onedimensional, two-dimensional or even three-dimensional optical data or information. As an example, the camera may comprise at least one camera chip, such as at least one CCD chip and / or at least one CMOS chip configured for recording images. As used herein, without limitation, the term “image data” specifically may relate to data recorded by using a camera, such as a plurality of electronic readings from the imaging device, such as the pixels of the camera chip. The image data may specifically comprise a single image acquired from the camera of the user mobile device or, preferably, a stream of images, such as a video or life stream of images acquired from the camera of the mobile device.

[0033] The camera, besides the at least one camera chip or imaging chip, may comprise further elements, such as one or more optical elements, e.g. one or more lenses. As an example, the camera may be a fix-focus camera, having at least one lens which is fixedly adjusted with respect to the camera. Alternatively, however, the camera may also comprise one or more variable lenses which may be adjusted, automatically or manually. The invention specifically shall be applicable to cameras as usually used in mobile applications, such as notebook com- puters, tablets or, specifically, cell phones, such as smartphones. Thus, specifically, the camera may be part of a mobile device which, besides the at least one camera, comprises one or more data processing devices, such as one or more data processors. The camera may specifically be a front camera of the mobile device. Other cameras, however, are feasible.

[0034] The term “display device” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to an arbitrary device configured for receiving at least one electrical signal and providing a corresponding visual output. The display device may comprise at least one projector and / or at least one screen. For example, the display device may comprise at least one touchscreen of the mobile device.

[0035] The mobile device may further comprise at least one processor configured for performing and / or controlling performing steps i) to vi). The term “processor” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to an arbitrary logic circuitry configured for performing basic operations of a computer or system, and / or, generally, to a device which is configured for performing calculations or logic operations. In particular, the processor may be configured for processing basic instructions that drive the computer or system. As an example, the processor may comprise at least one arithmetic logic unit (ALU), at least one floating-point unit (FPU), such as a math co-processor or a numeric co-processor, a plurality of registers, specifically registers configured for supplying operands to the ALU and storing results of operations, and a memory, such as an LI and L2 cache memory. In particular, the processor may be a multi -core processor. Specifically, the processor may be or may comprise a central processing unit (CPU). Additionally or alternatively, the processor may be or may comprise a microprocessor, thus specifically the processor’s elements may be contained in one single integrated circuitry (IC) chip. Additionally or alternatively, the processor may be or may comprise one or more application-specific integrated circuits (ASICs) and / or one or more field-programmable gate arrays (FPGAs) and / or one or more tensor processing unit (TPU) and / or one or more chip, such as a dedicated machine learning optimized chip, or the like. The processor specifically may be configured, such as by software programming, for performing one or more evaluation and / or control operations.

[0036] The mobile device may further comprise at least one LIDAR sensor. The term “LIDAR sensor” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a sensor configured for light detection and ranging, specifically by using reflected light generated using a laser. Step iv) may further comprise taking into account sensor information from the LIDAR sensor.

[0037] As outlined above, the method comprises receiving motion data from the motion sensor of the wearable device in a starting position of the wearable device and receiving image data of at least a part of a chest of the user and at least a part of the wearable device from the camera of the mobile device.

[0038] The term “receiving” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of getting access to and / or possession of data. Specifically, a receiving device may get access to and / or possession of the data. The data may be, specifically, sensor data generated by a sensor. The data may be transmitted by a transmitting device, specifically a sensor, configured for allowing access to the data. For allowing access to the data, the transmitting device may exchange the data with the receiving device, specifically an evaluation unit, such as by providing and / or sending the data. Consequently, the transmitting device may be a sending device and / or a measurement device. For receiving the data, the data may be requested by the receiving device, such as by sending or transferring a query to the transmitting device. Receiving the data may comprise a step of requesting the transmission of the data.

[0039] The term “starting position” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to an initial position of the wearable device, specifically at a start of the method for guiding positioning of the wearable device on the user. The starting may be a predetermined or predefined starting position. For example, the user may be instructed to hold the wearable device, and optionally also the mobile device, with horizontally stretched arms in front of the user, e.g. in front of a chest of the user.

[0040] The term “at least a part of’, such as used in the context of “image data of at least a part of the chest of the user” and “image data of at least a part of the wearable device”, as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to image data comprising a part of a device or element or the entire device or element. The image data comprising at least part of the chest of the user may comprise image data of a representative or sufficient part of the chest of the user in order to determine the target position area therein. The image data comprising at least a part of the wearable device may comprise image data of a representative of sufficient part of the wearable device to determine a position of the wearable device in the image data.

[0041] As further outlined above, the method comprises determining a target positioning area for positioning the wearable device on the chest of a user and determining a direction of motion of the wearable device towards the target positioning area using the motion data from the motion sensor of the wearable device in the starting position and the target positioning area.

[0042] The term “determining” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of generating at least one representative result, in particular, by evaluating input data, such as the received image data and / or the received motion data. The determining may specifically comprise a computer-assisted processing of data, particularly in order to generate the at least one representative result. The at least one representative result may be generated in such a manner that it is available or provided as data or at least one item of information on the representative result. The at least one representative result may be the target positioning area and / or the direction of motion. Generating the at least one representative result may be performed by using a computer program running on a computer or a computer unit.

[0043] The term “target positioning area” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to an intended mounting position of a device or element. Specifically, the target positioning area may comprise an intended mounting position of the wearable device on the user, in particular on the body of the user. The target positioning area may be or may comprise a position on the user, specifically on the body of the user, where the wearable device is to be mounted or body -worn during active use time of the wearable device. The target positioning area may be or may comprise an area on the chest of user. The target positioning area may comprise, specifically may be, an area at least partially comprising a lower end of a sternum of the user. The target positioning area may be predefined in terms of conditions to be met for mounting or wearing the wearable device on the user. As an example, the target positioning area may comprise a predefined target positioning estimate. The term “predefined” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a characteristic of an item of information of being defined in advance, such as in advance of a performance of the method. Step iii) may further comprise adapting the predefined target positioning estimate using the image data of at least part of the chest of the user to determine the target positioning area. The adapting of the predefined target positioning estimate may comprise taking into account at least one image-derived information on at least one of a general body feature of the user; a gender specific body feature of the user; a visible detection of one or more prior wearable device positions; skin irritations.

[0044] The target positioning area may be determined relative to the starting position of the wearable device. The target positioning area may be determined in the image data received in step ii).

[0045] The term “direction of motion” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to at least one item of information, such as a vector, indicating a line along which an object or element is aimed to move. The direction of motion may also be referred to as “direction of motion towards the target positioning area”. The direction of motion may comprise at least one item of information indicating a line along which the wearable device is to be moved to arrive at the target positioning area. The direction of motion may specifically indicate a trajectory or path from the starting position of the wearable device to the target positioning area. The direction of motion may comprise a vector along the trajectory or path. In case the wearable device is moved along the direction of motion, an actual or effective distance between the wearable device and the target positioning area may be minimized. Thus, specifically, the wearable device being moved along the direction of motion may arrive at the target positioning area. The direction of motion may be determined by combining the motion data from the motion sensor of the wearable device, the image data, specifically image-derived position information of the wearable device,

[0046] As further outlined above, the method comprises providing guiding signals via the display device of the mobile device indicating the direction of motion and providing at least one signal of confirmation in case the wearable device is in the target positioning area. The term “providing” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of making available of at least one item of information. Specifically, the providing may comprise making available of information for the user of the mobile device. The information may be provided to the user's perception. Thus, the providing may comprise using at least one transmitting signal which can be perceived by the user, e.g. an optical transmitting signal, an acoustic transmitting signal and / or a haptic transmitting signal. The transmitting signal may be generated by the mobile device, e.g. by the display device of the mobile device, by a loudspeaker of the mobile device and / or by an actuator of the mobile device.

[0047] The term “guiding signal” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to one or more of instructions, indications and / or information provided to a user. Specifically, the guiding signal may comprise one or more instructions, indications and / or information providing or indicating the direction of motion to the user. The guiding signals may be provided by the mobile device to the user. The guiding signals may comprise at least one of a visual guiding signal, a haptic guiding signal and an acoustic guiding signal. As an example, the guiding signals may comprise a visual indication, e.g. an arrow or the like, indicating the direction of motion of the wearable device towards the target positioning area. Additionally or alternatively, the guiding signals may comprise a visual indication of the target positioning area in the image data of step ii). Additionally or alternatively, the guiding signals may comprise a visual indication indicating a rotation of the wearable device to bring the wearable device in a target orientation, wherein, specifically, an actual orientation of the wearable device may be derived from the motion data of the motion sensor of the wearable device.

[0048] As an example, step v) may comprise providing the guiding signals together with the image data of step ii). The guiding signals may be provided with the image data as an overlay, specifically to provide an augmented reality to the user. The term “augmented reality” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of combining an image of a physical object with computer-based additional information. The additional information may be denoted as augmented reality information in the following. The augmented reality information may comprise, for example, visual and / or auditory information. The augmented reality information may be at least one virtual object, e.g. from a data server by picture-in- picture fade-in. The augmented reality information may be constructive, such as an additive or may be destructive, such as by masking.

[0049] The term “signal of confirmation” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to an arbitrary affirmative signal. The signal of confirmation may specifically comprise at least one positive indication to the user that the wearable device is in the target positioning area, preferably in a target orientation. The signal of confirmation may be provided to the user using at least one of the mobile device and the wearable device.

[0050] For example, step vi) may comprise providing the signal of confirmation via at least one of the mobile device and the wearable device. The signal of confirmation may be provided via the mobile device, e.g. via the display device of the mobile device. The signal of confirmation may comprise at least one signal selected from the group consisting of: an acoustic signal; a haptic signal; a vibrational signal; a visual signal. As an example, the signal of confirmation may appear on the display device in case the wearable device is in the target positioning area. Alternatively or additionally, the signal of confirmation may comprise a change of a form and / or a color of a visual indication on the display device. Alternatively or additionally, the mobile device may provide an acoustic and / or haptic signal indicating that the wearable device is in the target positioning area. Alternatively or additionally, the wearable device may provide an acoustic and / or haptic signal indicating that the wearable device is in the target positioning area.

[0051] In the method, step i) may comprise at least one initial moving step comprising prompting the user to move the wearable device in a predefined moving sequence with the starting position as an end position of the moving sequence. The motion data obtained during the predefined moving sequence may be used for determining an orientation estimate of the wearable device. The orientation estimate of the wearable device and the starting position may be used for determining the direction of motion of the wearable device. As an example, the starting position may comprise the wearable device held by the user, specifically with horizontally stretched arms. Step i) may comprise prompting the user to pick up the wearable device and, optionally the mobile device, preferably such as to hold the wearable device and, optionally the mobile device, with horizontally stretched arms.

[0052] In the method, step ii) may further comprise receiving motion data from a motion sensor unit of the mobile device in a starting position of the mobile device. The term “motion sensor unit” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a motion sensor, specifically a motion sensor as defined, of the mobile device. The method may further comprising determining a relative position of the wearable device with respect to the mobile device using the motion data from the motion sensor unit of the mobile device and the motion data from the motion sensor of the wearable device. The relative position may be used for determining the direction of motion of the wearable device.

[0053] The method may further comprise: vii) updating the guiding signals based on continuously received motion data from the motion sensor of the wearable device and / or continuously received image data from the camera of the mobile device.

[0054] The term “updating” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a process of actualization. Specifically, updating of the guiding signals may comprise an actualization of the direction of motion based on newly received motion data from the motion sensor of the wearable device and / or newly received image data from the camera of the mobile device. Thus, specifically, the updating may comprise repeatedly performing steps i), ii) and iv), wherein, more specifically, the actual position of the wearable device is the starting position for the repeated step i).

[0055] The method may further comprise determining an actual orientation of the wearable device using motion data from the motion sensor of the wearable device. For example, the motion data from the motion sensor of the wearable device obtained during motion of the wearable device from the starting position to the target positioning area may be used to determine the actual orientation of the wearable device. Additionally or alternatively, the image data of the part of the wearable device may be used to determine the actual orientation of the wearable device. The actual orientation of the wearable device may specifically be determined using motion data from the motion sensor of the wearable device in or at least near the target positioning area. Thus, for example, the actual orientation of the wearable device may be determined in case the wearable device is within predefined boundaries within the target positioning area. Step v) may further comprise providing guiding signals via the display device of the mobile device indicating bringing the wearable device into a predefined target orientation in case the actual orientation deviates from the predefined target orientation. Altematively or additionally, the method may further comprise reducing an output rate of the motion sensor of the wearable device after detecting the positioning of the wearable device in the target positioning area. The term “output rate” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a sensor frequency of generating sensor data. Further, the positioning of the wearable device in the target positioning area may be detected using at least one of motion sensor of the wearable device and a user confirmation received via the display of the mobile device. As an example, the output rate of the motion sensor may be at least 100 Hz during steps i) to vi). The output rate of the motion sensor may be reduced to below 50 Hz, specifically to below 25 Hz, more specifically to below 20 Hz, after detecting the positioning of the wearable device in the target positioning area.

[0056] In a further aspect of the present invention, a computer-implemented method for guiding positioning of a wearable device on a user is disclosed. The wearable device comprises at least one motion sensor. The method comprises using a mobile device comprising at least one camera and at least one display device.

[0057] The method comprises the following steps, which may be performed in the given order. A different order, however, may also be feasible. Further, two or more of the method steps may be performed simultaneously. Thereby, the method steps may at least partly overlap in time. Further, the method steps may be performed once or repeatedly. Thus, one or more or even all of the method steps may be performed once or repeatedly. The method may comprise additional method steps, which are not listed herein.

[0058] The method comprises the following steps: i) receiving motion data from the motion sensor of the wearable device in a starting position of the wearable device; ii) receiving image data of at least a part of a chest of the user from the camera of the mobile device and motion data from a motion sensor unit of the mobile device; iii) determining a target positioning area for positioning the wearable device on the chest of the user; iv) determining a direction of motion of the wearable device towards the target positioning area using the motion data from the motion sensor of the wearable device in the starting position, the motion data from the motion sensor unit of the mobile device and the target positioning area; v) providing guiding signals via the display device of the mobile device indicating the direction of motion; and vi) providing at least one signal of confirmation in case the wearable device is in the target positioning area.

[0059] For definitions of terms and / or possible embodiments of certain features or aspect of this second method for guiding positioning of the wearable device, reference is made to the description of the first method for guiding positioning of a wearable device above.

[0060] In a further aspect of the present invention, a mobile device is disclosed, comprising at least one camera and at least one display device. The mobile device is configured for receiving motion data from a motion sensor of a wearable device. The mobile device is configured for performing any one of the methods for guiding positioning of a wearable device of the present invention, such as according to any one of the embodiments disclosed above and / or according to any one of the embodiments disclosed in further detail below.

[0061] For definitions of terms and / or possible embodiments of the mobile device, reference is made to the description of the methods for guiding positioning of a wearable device above.

[0062] The mobile device further comprises at least one processor configured for performing and / or controlling performing steps i) to vi) of the methods.

[0063] In a further aspect of the present invention, a kit is disclosed, comprising the mobile device according to the present invention, such as according to any one of the embodiments disclosed above and / or according to any one of the embodiments disclosed in further detail below, and at least one wearable device, the wearable device comprising at least one motion sensor.

[0064] For definitions of terms and / or possible embodiments of the mobile device, reference is made to the description of the methods for guiding positioning of a wearable device above.

[0065] The wearable device may comprise, specifically may be, a sensor configured for cardiac motion monitoring.

[0066] In a further aspect of the present invention, a computer program is disclosed, comprising instructions which, when the program is executed by the mobile device according to the present invention, such as according to any one of the embodiments disclosed above and / or according to any one of the embodiments disclosed in further detail below, cause the mobile device to perform any one of the methods for guiding positioning of a wearable device of the present invention, such as according to any one of the embodiments disclosed above and / or according to any one of the embodiments disclosed in further detail.

[0067] In a further aspect of the present invention, a computer-readable storage medium is disclosed, comprising instructions which, when the instructions are executed by the mobile device according to the present invention, such as according to any one of the embodiments disclosed above and / or according to any one of the embodiments disclosed in further detail below, cause the mobile device to perform any one of the methods for guiding positioning of a wearable device of the present invention, such as according to any one of the embodiments disclosed above and / or according to any one of the embodiments disclosed in further detail below.

[0068] As used herein, the term “computer-readable storage medium” specifically may refer to non- transitory data storage means, such as a hardware storage medium having stored thereon computer-executable instructions. The computer-readable storage medium specifically may be or may comprise a storage medium such as a random-access memory (RAM) and / or a read-only memory (ROM). The computer-readable storage medium may be or may comprise a computer-readable data carrier.

[0069] In a further aspect of the present invention, a non-transient computer-readable medium is disclosed, including instructions that, when executed by one or more processors, cause the one or more processors to perform any one of the methods for guiding positioning of a wearable device of the present invention, such as according to any one of the embodiments disclosed above and / or according to any one of the embodiments disclosed in further detail below.

[0070] Further disclosed and proposed herein is a computer program including computer-executable instructions for performing one or more of the methods according to the present invention in one or more of the embodiments enclosed herein when the instructions are executed on a computer or computer network. Specifically, the computer program may be stored on a computer-readable data carrier and / or on a computer-readable storage medium.

[0071] Thus, specifically, one, more than one or even all of method steps i) to vii) as indicated above may be performed by using a computer or a computer network, preferably by using a computer program. Further disclosed and proposed herein is a computer program product having program code means, in order to perform one or more of the methods according to the present invention in one or more of the embodiments enclosed herein when the program is executed on a computer or computer network. Specifically, the program code means may be stored on a computer-readable data carrier and / or on a computer-readable storage medium.

[0072] Further disclosed and proposed herein is a data carrier having a data structure stored thereon, which, after loading into a computer or computer network, such as into a working memory or main memory of the computer or computer network, may execute one or more of the methods according to one or more of the embodiments disclosed herein.

[0073] Further disclosed and proposed herein is a non-transient computer-readable medium including instructions that, when executed by one or more processors, cause the one or more processors to perform one or more of the methods according to one or more of the embodiments disclosed herein.

[0074] Further disclosed and proposed herein is a computer program product with program code means stored on a machine-readable carrier, in order to perform one or more of the methods according to one or more of the embodiments disclosed herein, when the program is executed on a computer or computer network. As used herein, a computer program product refers to the program as a tradable product. The product may generally exist in an arbitrary format, such as in a paper format, or on a computer-readable data carrier and / or on a computer- readable storage medium. Specifically, the computer program product may be distributed over a data network.

[0075] Finally, disclosed and proposed herein is a modulated data signal which contains instructions readable by a computer system or computer network, for performing one or more of the methods according to one or more of the embodiments disclosed herein.

[0076] Referring to the computer-implemented aspects of the invention, one or more of the method steps or even all of the method steps of the methods according to one or more of the embodiments disclosed herein may be performed by using a computer or computer network. Thus, generally, any of the method steps including provision and / or manipulation of data may be performed by using a computer or computer network. Generally, these method steps may include any of the method steps, typically except for method steps requiring manual work, such as providing the samples and / or certain aspects of performing the actual measurements. Specifically, further disclosed herein are:

[0077] - a computer or computer network comprising at least one processor, wherein the processor is adapted to perform one or more of the methods according to one of the embodiments described in this description,

[0078] - a computer loadable data structure that is adapted to perform one or more of the methods according to one of the embodiments described in this description while the data structure is being executed on a computer,

[0079] - a computer program, wherein the computer program is adapted to perform one or more of the methods according to one of the embodiments described in this description while the program is being executed on a computer,

[0080] - a computer program comprising program means for performing one or more of the methods according to one of the embodiments described in this description while the computer program is being executed on a computer or on a computer network,

[0081] - a computer program comprising program means according to the preceding embodiment, wherein the program means are stored on a storage medium readable to a computer,

[0082] - a storage medium, wherein a data structure is stored on the storage medium and wherein the data structure is adapted to perform performing one or more of the methods according to one of the embodiments described in this description after having been loaded into a main and / or working storage of a computer or of a computer network, and

[0083] - a computer program product having program code means, wherein the program code means can be stored or are stored on a storage medium, for performing one or more of the methods according to one of the embodiments described in this description, if the program code means are executed on a computer or on a computer network.

[0084] The present invention may provide a large number of advantages over known methods and devices of similar kind. Specifically, the devices and methods according to the present invention may ensure precise positioning of the wearable device on the user and prevent the disadvantages for medium to strong misplacement of the wearable device, e.g. the loss of the wearable device and / or the need to remove and replace the wearable device, which is, in particular, painful and reduces the adhesive performance. The devices and methods according to the present invention may provide a combined patch-sensor and video patch guidance app module guiding the user to the correct application spot. The patch guidance app module may combine the sensor data from the motion sensor of the wearable device and the image data from the camera of the mobile device, e.g. from a smartphone front camera, and optionally further 3D spatial sensor such as a LIDAR sensor, to provide guidance until the wearable device is positioned on the user. The guiding signals may make use of augmented reality. The patch guidance app module may run locally on the smartphone such as to ensure that no personal data are sent to any cloud service and / or no personal data are stored.

[0085] The devices and methods according to the present invention may improve the guidance to help and ensure a correct positioning of the wearable device on the body of the user and to avoid misplacement. The devices and methods may use the image data from the camera of the mobile device and the motion sensor of the wearable device, such as an accelerometer and / or a gyroscope, in particular with the wearable device starting in a predefined position and / or movement relative to the user. The determined starting position of the wearable device and the image data of the chest of the user may then be used to guide the positioning of the wearable device on the user’s chest via the mobile device using acoustic, vibrational, and / or visual signals, e.g. via augment reality. The wearable device may preferably be a cardiac motion sensor device.

[0086] Further, the devices and methods according to the present invention may provide a clear confirmation signal via the mobile device and / or the wearable device, e.g. a vibrational signal, when the wearable device is within a targeted positioning area. The signal of confirmation may ensure the correct placement and avoid any wrong placement outside the target positioning area suitable for heart monitoring by the inertial motion unit of the wearable device.

[0087] The devices and methods according to the present invention may increase guiding precision due to the defined starting position and the clear signaling when reaching the target positioning area in order to prevent any wrong placement outside the target positioning area. The increased guiding precision may be important as the position of the wearable device is generally crucial for a correct functioning of a cardiac signal monitoring device via an inertial motion unit, and as the adherence of any patch to attach such a wearable device generally decreases significantly when being removed after a first attachment.

[0088] Summarizing and without excluding further possible embodiments, the following embodiments may be envisaged:

[0089] Embodiment 1 : A computer-implemented method for guiding positioning of a wearable device on a user, the wearable device comprising at least one motion sensor, wherein the method comprises using a mobile device comprising at least one camera and at least one display device, wherein the method comprises the following steps: i) receiving motion data from the motion sensor of the wearable device in a starting position of the wearable device; ii) receiving image data of at least a part of a chest of the user and at least a part of the wearable device from the camera of the mobile device; iii) determining a target positioning area for positioning the wearable device on the chest of the user; iv) determining a direction of motion of the wearable device towards the target positioning area using the motion data from the motion sensor of the wearable device in the starting position and the target positioning area; v) providing guiding signals via the display device of the mobile device indicating the direction of motion; and vi) providing at least one signal of confirmation in case the wearable device is in the target positioning area.

[0090] Embodiment 2: The method according to the preceding embodiment, wherein the wearable device comprises, specifically is, a sensor configured for cardiac motion monitoring.

[0091] Embodiment 3 : The method according to any one of the preceding embodiments, wherein the wearable device is configured for communicating the motion data to the mobile device.

[0092] Embodiment 4: The method according to any one of the preceding embodiments, wherein the motion data comprises data selected from the group consisting of: spatial position data; spatial velocity data; spatial acceleration data; angular position data; angular velocity data; angular acceleration data.

[0093] Embodiment 5: The method according to any one of the preceding embodiments, wherein the motion sensor comprises at least one sensor selected from the group consisting of: an acceleration sensor; a gyroscope; an orientation sensor; a magnetometer.

[0094] Embodiment 6: The method according to any one of the preceding embodiments, wherein the motion sensor comprises, specifically is, an inertial measurement unit. Embodiment 7: The method according to any one of the preceding embodiments, wherein step ii) further comprises receiving motion data from a motion sensor unit of the mobile device in a starting position of the mobile device.

[0095] Embodiment 8: The method according to the preceding embodiment, further comprising determining a relative position of the wearable device with respect to the mobile device using the motion data from the motion sensor unit of the mobile device and the motion data from the motion sensor of the wearable device, wherein the relative position is used for determining the direction of motion of the wearable device.

[0096] Embodiment 9: The method according to any one of the preceding embodiments, further comprising: vii) updating the guiding signals based on continuously received motion data from the motion sensor of the wearable device and / or continuously received image data from the camera of the mobile device.

[0097] Embodiment 10: The method according to any one of the preceding embodiments, wherein step i) comprises at least one initial moving step comprising prompting the user to move the wearable device in a predefined moving sequence with the starting position as an end position of the moving sequence, wherein motion data obtained during the predefined moving sequence are used for determining an orientation estimate of the wearable device.

[0098] Embodiment 11 : The method according to the preceding embodiment, wherein the orientation estimate of the wearable device and the starting position are used for determining the direction of motion of the wearable device.

[0099] Embodiment 12: The method according to any one of the preceding embodiments, wherein the starting position comprises the wearable device held by the user, specifically with horizontally stretched arms.

[0100] Embodiment 13: The method according to the preceding embodiment, wherein step i) comprises prompting the user to pick up the wearable device and, optionally, the mobile device. Embodiment 14: The method according to any one of the preceding embodiments, wherein step v) comprises providing the guiding signals together with the image data of step ii).

[0101] Embodiment 15: The method according to the preceding embodiment, wherein the guiding signals are provided with the image data as an overlay, specifically to provide an augmented reality to the user.

[0102] Embodiment 16: The method according to any one of the preceding embodiments, wherein step vi) comprises providing the signal of confirmation via at least one of the mobile device and the wearable device.

[0103] Embodiment 17: The method according to any one of the preceding embodiments, wherein the signal of confirmation comprises at least one signal selected from the group consisting of: an acoustic signal; a haptic signal; a vibrational signal; a visual signal.

[0104] Embodiment 18: The method according to any one of the preceding embodiments, wherein the target positioning area is determined relative to the starting position of the wearable device.

[0105] Embodiment 19: The method according to any one of the preceding embodiments, wherein the target positioning area is determined in the image data received in step ii).

[0106] Embodiment 20: The method according to any one of the preceding embodiments, wherein the target positioning area comprises, specifically is, an area at least partially comprising a lower end of a sternum of the user.

[0107] Embodiment 21 : The method according to any one of the preceding embodiments, wherein the target positioning area comprises a predefined target positioning estimate.

[0108] Embodiment 22: The method according to the preceding embodiment, wherein step iii) comprises adapting the predefined target positioning estimate using the image data of at least part of the chest of the user to determine the target positioning area.

[0109] Embodiment 23 : The method according to the preceding embodiment, wherein the adapting of the predefined target positioning estimate comprises taking into account at least one image-derived information on at least one of: a general body feature of the user; a gender specific body feature of the user; a visible detection of one or more prior wearable device positions; skin irritations.

[0110] Embodiment 24: The method according to any one of the preceding embodiments, further comprising determining an actual orientation of the wearable device using motion data from the motion sensor of the wearable device.

[0111] Embodiment 25: The method according to the preceding embodiment, wherein the actual orientation of the wearable device is determined using motion data from the motion sensor of the wearable device in or at least near the target positioning area.

[0112] Embodiment 26: The method according to any one of the two preceding embodiments, wherein step v) further comprises providing guiding signals via the display device of the mobile device indicating bringing the wearable device into a predefined target orientation in case the actual orientation deviates from the predefined target orientation.

[0113] Embodiment 27: The method according to any one of the preceding embodiments, wherein the method further comprises reducing an output rate of the motion sensor of the wearable device after detecting the positioning of the wearable device in the target positioning area.

[0114] Embodiment 28: The method according to the preceding embodiment, wherein the positioning of the wearable device in the target positioning area is detected using at least one of motion sensor of the wearable device and a user confirmation received via the display of the mobile device.

[0115] Embodiment 29: The method according to any one of the two preceding embodiments, wherein the output rate of the motion sensor is at least 100 Hz during steps i) to vi).

[0116] Embodiment 30: The method according to any one of the three preceding embodiments, wherein the output rate of the motion sensor is reduced to below 50 Hz, specifically to below 25 Hz, more specifically to below 20 Hz, after detecting the positioning of the wearable device in the target positioning area.

[0117] Embodiment 31 : The method according to any one of the preceding embodiments, wherein the mobile device further comprises at least one processor configured for performing and / or controlling performing steps i) to vi). Embodiment 32: The method according to any one of the preceding clams, wherein the mobile device further comprises at least one LIDAR sensor, wherein step iv) further comprises taking into account sensor information from the LIDAR sensor.

[0118] Embodiment 33: A computer-implemented method for guiding positioning of a wearable device on a user, the wearable device comprising at least one motion sensor, wherein the method comprises using a mobile device comprising at least one camera and at least one display device, wherein the method comprises the following steps: i) receiving motion data from the motion sensor of the wearable device in a starting position of the wearable device; ii) receiving image data of at least a part of a chest of the user from the camera of the mobile device and motion data from a motion sensor unit of the mobile device; iii) determining a target positioning area for positioning the wearable device on the chest of the user; iv) determining a direction of motion of the wearable device towards the target positioning area using the motion data from the motion sensor of the wearable device in the starting position, the motion data from the motion sensor unit of the mobile device and the target positioning area; v) providing guiding signals via the display device of the mobile device indicating the direction of motion; and vi) providing at least one signal of confirmation in case the wearable device is in the target positioning area.

[0119] Embodiment 34: A mobile device comprising at least one camera and at least one display device, wherein the mobile device is configured for receiving motion data from a motion sensor of a wearable device, wherein the mobile device is configured for performing the method according to any of embodiments 1 to 32 and / or according to embodiment 33.

[0120] Embodiment 35: The mobile device according to the preceding embodiment, further comprising at least one processor configured for performing and / or controlling performing steps i) to vi) of the method according to any of embodiments 1 to 32 and / or according to embodiment 33. Embodiment 36: A kit comprising the mobile device according to any one of the two preceding embodiments and at least one wearable device, the wearable device comprising at least one motion sensor.

[0121] Embodiment 37: The kit according to the preceding embodiment, wherein the wearable device comprises, specifically is, a sensor configured for cardiac motion monitoring.

[0122] Embodiment 38: A computer program comprising instructions which, when the program is executed by the mobile device according to any one of the preceding embodiments referring to a mobile device, cause the mobile device to perform the method according to any of embodiments 1 to 32 and / or according to embodiment 33.

[0123] Embodiment 39: A computer-readable storage medium comprising instructions which, when the instructions are executed by the mobile device according to any one of the preceding embodiments referring to a mobile device, cause the mobile device to perform the method according to any of embodiments 1 to 32 and / or according to embodiment 33.

[0124] Embodiment 40: A non-transient computer-readable medium including instructions that, when executed by one or more processors, cause the one or more processors to perform the method according to any of embodiments 1 to 32 and / or according to embodiment 33.

[0125] Short description of the Figures

[0126] Further optional features and embodiments will be disclosed in more detail in the subsequent description of embodiments, preferably in conjunction with the dependent claims. Therein, the respective optional features may be realized in an isolated fashion as well as in any arbitrary feasible combination, as the skilled person will realize. The scope of the invention is not restricted by the preferred embodiments. The embodiments are schematically depicted in the Figures. Therein, identical reference numbers in these Figures refer to identical or functionally comparable elements.

[0127] In the Figures: Figures 1 A to 1C show an embodiment of a kit according to the present invention; and

[0128] Figure 2 shows a flow chart of an embodiment of a computer-implemented method for guiding positioning of a wearable device on a user.

[0129] Detailed description of the embodiments

[0130] Figures 1 A to 1C show a schematic view of an exemplary embodiment of a kit 110 according to the present invention. Specifically, Figures 1 A to 1C show a use of the kit 110 by a user 112. The kit 110 comprises a mobile device 114 according to the present invention and at least one wearable device 116, the wearable device 116 comprising at least one motion sensor 118. As an example, the wearable device 116 may be a sensor configured for cardiac motion monitoring.

[0131] The mobile device 114 according to the present invention, as can be seen in Figure IB, comprises at least one camera 120 and at least one display device 122. The camera 120 may specifically be a front camera 120 of the mobile device 114. Further, the mobile device 114 is configured for receiving motion data from the motion sensor 118 of the wearable device 116. The mobile device 114 is configured for performing any one of the methods for guiding positioning of a wearable device 116 of the present invention, such as according to any one of the embodiments disclosed above and / or according to the exemplary embodiment of Figure 2. Specifically, the mobile device 114 further comprises at least one processor 126 configured for performing and / or controlling performing steps i) to vi) of the methods. For a detailed description of the computer-implemented method for guiding positioning of the wearable device 116 on the user 112, reference is made to the description of Figure 2.

[0132] Figure 1C shows an exemplary guiding signal 128 provided to the user 112 in a method for guiding positioning of the wearable device 116 on the user 112. In this example, the guiding signal 128 may comprise an indication, e.g. an arrow, indicating the user 112 to turn the wearable device 116 into a target orientation. In the method, as will be outlined in further detail below, as an example, step v) may comprise providing the guiding signals 128 together with the image data of step ii) to the user 112. The guiding signals 128 may be provided with the image data as an overlay, specifically to provide an augmented reality to the user 112.

[0133] Figure 2 shows a flow chart of an embodiment of a computer-implemented method for guiding positioning of a wearable device 116 on a user 112. The wearable device 116 comprises at least one motion sensor 118. The method comprises using a mobile device 114 comprising at least one camera 120 and at least one display device 122. For example, the method may comprise using the wearable device 116 and the mobile device 114 as shown in Figures 1 A to 1C.

[0134] The method comprises the following steps, which may be performed in the given order. A different order, however, may also be feasible. Further, two or more of the method steps may be performed simultaneously. Thereby, the method steps may at least partly overlap in time. Further, the method steps may be performed once or repeatedly. Thus, one or more or even all of the method steps may be performed once or repeatedly. The method may comprise additional method steps, which are not listed herein.

[0135] The method comprises the following steps: i) (denoted by reference number 130) receiving motion data from the motion sensor 118 of the wearable device 116 in a starting position of the wearable device 116; ii) (denoted by reference number 132) receiving image data of at least a part of a chest of the user 112 and at least a part of the wearable device 116 from the camera 120 of the mobile device 114; iii) (denoted by reference number 134) determining a target positioning area for positioning the wearable device 116 on the chest of the user 112; iv) (denoted by reference number 136) determining a direction of motion of the wearable device 116 towards the target positioning area using the motion data from the motion sensor 118 of the wearable device 116 in the starting position and the target positioning area; v) (denoted by reference number 138) providing guiding signals 128 via the display device 122 of the mobile device 114 indicating the direction of motion; and vi) (denoted by reference number 140) providing at least one signal of confirmation in case the wearable device 116 is in the target positioning area.

[0136] The method may be started e.g. when the wearable sensor 116 is removed from a transport or storage configuration sleep-state (denoted by reference number 141).

[0137] In the method, step i) may comprise at least one initial moving step comprising prompting the user 112 to move the wearable device 116 in a predefined moving sequence with the starting position as an end position of the moving sequence. The motion data obtained during the predefined moving sequence may be used for determining an orientation estimate of the wearable device 116. The orientation estimate of the wearable device 116 and the starting position may be used for determining the direction of motion of the wearable device 116. As an example, the starting position may comprise the wearable device 116 held by the user 112, specifically with horizontally stretched arms. Step i) may comprise prompting the user 112 to pick up the wearable device 116 such as to hold the wearable device 116 with horizontally stretched arms. For example, the initial moving step may comprise promoting the user to hold the wearable device 116 in a left hand of the user 112 and to move the left arm with the wearable device 116 fully upwards, downwards, left and right, preferably in this order.

[0138] In step ii), the mobile device 114 may be brought in front of the user 112 such that the user 112, specifically the chest of the user 112, is visible in a field of view of the camera 120, and optionally in a field of view of a LIDAR sensor of the mobile device 114.

[0139] Further, the target positioning area may comprise a predefined target positioning estimate. Step iii) may further comprise adapting the predefined target positioning estimate using the image data of at least part of the chest of the user 112 to determine the target positioning area. The adapting of the predefined target positioning estimate may comprise taking into account at least one image-derived information on at least one of a general body feature of the user 112, e.g. the chest of the user 112, specifically a bottom of the sternum of the user 112; a gender specific body feature of the user 112; a visible detection of one or more prior wearable device positions; skin irritations. Thus, in this example, the method may comprise, specifically prior to step iii), identifying the at least one image-derived information on the user 112 in the image data of step ii) (denoted by reference number 142). The predefined target positioning area may then be adapted in accordance with at least one rule selected from the group consisting of when possible at same location as prior wearable device position; when possible not at same location as prior wearable device position; bra-suited location. Preferably, the predefined target positioning area may be adapted in accordance with the following order of rules: adapt the predefined target positioning area to a bra-suited location; adapt the predefined target positioning area to a different but close to prior wearable device position if skin irritation occurred; use the prior wearable device position if no skin irritation has occurred.

[0140] The method may further comprise step viii) (not shown as a separate step in Figure 2), comprising updating the guiding signals 128 based on continuously received motion data from the motion sensor 118 of the wearable device 116 and / or continuously received image data from the camera 120 of the mobile device 114. Specifically, updating of the guiding signals 128 may comprise an actualization of the direction of motion based on newly received motion data from the motion sensor 118 of the wearable device 116 and / or newly received image data from the camera 120 of the mobile device 114. Thus, specifically, the updating may comprise repeatedly performing steps i), ii) and iv), wherein, more specifically, the actual position of the wearable device 116 is the starting position for the repeated step i).

[0141] The method may further comprise determining an actual orientation of the wearable device 116 using the motion data from the motion sensor 118 of the wearable device 116 (denoted by reference number 144). For example, the motion data from the motion sensor 118 of the wearable device 116 obtained during motion of the wearable device 116 from the starting position to the target positioning area may be used to determine the actual orientation of the wearable device 116. Additionally or alternatively, the image data of the part of the wearable device 116 may be used to determine the actual orientation of the wearable device 116. The actual orientation of the wearable device 116 may specifically be determined using motion data from the motion sensor 118 of the wearable device 116 in or at least near the target positioning area. Thus, for example, the actual orientation of the wearable device 116 may be determined in case the wearable device 116 is within predefined boundaries within the target positioning area. Step v) may further comprise providing guiding signals 128 via the display device 122 of the mobile device 114 indicating bringing the wearable device 116 into a predefined target orientation in case the actual orientation deviates from the predefined target orientation.

[0142] The guiding signals 128 of step v) may comprise at least one of a visual guiding signal, a haptic guiding signal and an acoustic guiding signal. As an example, the guiding signals 128 may comprise a visual indication, e.g. an arrow or the like, indicating the direction of motion of the wearable device 116 towards the target positioning area. Additionally or alternatively, the guiding signals 128 may comprise a visual indication of the target positioning area in the image data of step ii). Additionally or alternatively, the guiding signals 128 may comprise a visual indication indicating a rotation of the wearable device 116 to bring the wearable device 116 in a target orientation. For example, in case of visual guiding signals, step v) may comprise providing the guiding signals 128 together with the image data of step ii). The guiding signals 128 may be provided with the image data as an overlay, specifically to provide an augmented reality to the user 112.

[0143] Further, step vi) may comprise providing the signal of confirmation via at least one of the mobile device 114 and the wearable device 116. The signal of confirmation may be provided via the mobile device 114, e.g. via the display device 122 of the mobile device 114. The signal of confirmation may comprise at least one signal selected from the group consisting of: an acoustic signal; a haptic signal; a vibrational signal; a visual signal. As an example, the signal of confirmation may appear on the display device 122 in case the wearable device 116 is in the target positioning area. Alternatively or additionally, the signal of confirmation may comprise a change of a form and / or a color of a visual indication on the display device 122. Alternatively or additionally, the mobile device 114 may provide an acoustic and / or haptic signal indicating that the wearable device 116 is in the target positioning area. Alternatively or additionally, the wearable device 116 may provide an acoustic and / or haptic signal indicating that the wearable device 116 is in the target positioning area.

[0144] List of reference numbers kit user mobile device wearable device motion sensor camera display device front camera processor guiding signal receiving motion data from the motion sensor receiving image data from the camera determining a target positioning area determining a direction of motion providing guiding signals providing at least one signal of confirmation start identifying image-derived information on the user determining an actual orientation of the wearable device

Claims

1. - 35 -August 1, 2025Claims1. A computer-implemented method for guiding positioning of a wearable device (116) on a user (112), the wearable device (116) comprising at least one motion sensor (118), wherein the method comprises using a mobile device (114) comprising at least one camera (120) and at least one display device (122), wherein the method comprises the following steps: i) receiving motion data from the motion sensor (118) of the wearable device (116) in a starting position of the wearable device (116); ii) receiving image data of at least a part of a chest of the user (112) and at least a part of the wearable device (116) from the camera (120) of the mobile device (H4); iii) determining a target positioning area for positioning the wearable device (116) on the chest of the user (112); iv) determining a direction of motion of the wearable device (116) towards the target positioning area using the motion data from the motion sensor (118) of the wearable device (116) in the starting position and the target positioning area; v) providing guiding signals (128) via the display device (122) of the mobile device (114) indicating the direction of motion; and vi) providing at least one signal of confirmation via the wearable device (116) in case the wearable device (116) is in the target positioning area.

2. The method according to the preceding claim, wherein step ii) further comprises receiving motion data from a motion sensor unit of the mobile device (114) in a starting position of the mobile device (114), further comprising determining a relative position of the wearable device (116) with respect to the mobile device (114) using the motion data from the motion sensor unit of the mobile device (114) and the motion data from the motion sensor (118) of the wearable device (116), wherein the relative position is used for determining the direction of motion of the wearable device (116).

3. The method according to any one of the preceding claims, further comprising: vii) updating the guiding signals 128 based on continuously received motion data from the motion sensor (118) of the wearable device (116) and / or continuously received image data from the camera (120) of the mobile device (114).- 36 -4. The method according to any one of the preceding claims, wherein step i) comprises at least one initial moving step comprising prompting the user (112) to move the wearable device (116) in a predefined moving sequence with the starting position as an end position of the moving sequence, wherein motion data obtained during the predefined moving sequence are used for determining an orientation estimate of the wearable device (116), wherein the orientation estimate of the wearable device (116) and the starting position are used for determining the direction of motion of the wearable device (H6).

5. The method according to any one of the preceding claims, wherein step v) comprises providing the guiding signals (128) together with the image data of step ii), wherein the guiding signals (128) are provided with the image data as an overlay, specifically to provide an augmented reality to the user (112).

6. The method according to any one of the preceding claims, wherein the target positioning area comprises a predefined target positioning estimate, wherein step iii) comprises adapting the predefined target positioning estimate using the image data of at least part of the chest of the user (112) to determine the target positioning area.

7. The method according to any one of the preceding claims, further comprising determining an actual orientation of the wearable device (116) using motion data from the motion sensor (118) of the wearable device (116), wherein the actual orientation of the wearable device (116) is determined using motion data from the motion sensor (118) of the wearable device (116) in or at least near the target positioning area, wherein step v) further comprises providing guiding signals (128) via the display device (122) of the mobile device (114) indicating bringing the wearable device (116) into a predefined target orientation in case the actual orientation deviates from the predefined target orientation.

8. The method according to any one of the preceding claims, wherein the method further comprises reducing an output rate of the motion sensor (118) of the wearable device (116) after detecting the positioning of the wearable device (116) in the target positioning area.

9. A computer-implemented method for guiding positioning of a wearable device (116) on a user (112), the wearable device (116) comprising at least one motion sensor (118),wherein the method comprises using a mobile device (114) comprising at least one camera (120) and at least one display device (122), wherein the method comprises the following steps: i) receiving motion data from the motion sensor (118) of the wearable device (116) in a starting position of the wearable device (116); ii) receiving image data of at least a part of a chest of the user (112) from the camera (120) of the mobile device (114) and motion data from a motion sensor unit of the mobile device (114); iii) determining a target positioning area for positioning the wearable device (116) on the chest of the user (112); iv) determining a direction of motion of the wearable device (116) towards the target positioning area using the motion data from the motion sensor (118) of the wearable device (116) in the starting position, the motion data from the motion sensor unit of the mobile device (114) and the target positioning area; v) providing guiding signals (128) via the display device (122) of the mobile device (114) indicating the direction of motion; and vi) providing at least one signal of confirmation via the wearable device (116) in case the wearable device (116) is in the target positioning area.

10. A mobile device (114) comprising at least one camera (120) and at least one display device (122), wherein the mobile device (114) is configured for receiving motion data from a motion sensor (118) of a wearable device (116), wherein the mobile device (114) is configured for performing the method according to any of claims 1 to 8 and / or according to claim 9.

11. A kit (110) comprising the mobile device (114) according to the preceding claim and at least one wearable device (116), the wearable device (116) comprising at least one motion sensor (118).

12. A computer program comprising instructions which, when the program is executed by the mobile device (114) according to any one of the preceding claims referring to a mobile device (114), cause the mobile device (114) to perform the method according to any of claims 1 to 8 and / or according to claim 9.

13. A computer-readable storage medium comprising instructions which, when the instructions are executed by the mobile device (114) according to any one of the preceding claims referring to a mobile device (114), cause the mobile device (114) to perform the method according to any of claims 1 to 8 and / or according to claim 9.

14. A non-transient computer-readable medium including instructions that, when executed by one or more processors, cause the one or more processors to perform the method according to any of claims 1 to 8 and / or according to claim 9.

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