153 results about "Wearable systems" patented technology

A wearable system can include an electronic device configured to measure one or more physiological parameters of a patient and a wearable device configured to operably position the electronic device. The electronic device can have at least one light emitter and at least one light detector and be configured to measure at least a pulse oximetry measurement. The wearable device can have a main body with a cavity configured to position the electronic device, a securement portion connected to the main body and configured to secure the main body to the patient, and storage component configured to store patient identification data associated with the patient. When the electronic device and the wearable device are secured to one another, the patient identification data can be transferred from the wearable device to the electronic device.

A Circadian Rhythm Monitoring and Regulation (CMR) system and method that includes: a novel non-obtrusive wearable system for increasing the health and productivity of warfighters or other individuals that are disrupted by excessive, abnormal shifts in work or flights across multiple time zones. The CMR system is based on advanced sensor and software technology and models of human circadian system phototransduction and a circadian stimulator oscillator developed by applicants. It measures circadian misalignment and provides lighting suggestions for circadian rhythm maintenance and realignment.

The invention discloses an electrophysiology and hemodynamics multi-mode intelligent wearable system and a data evaluation method, and belongs to the technical field of biomedical engineering, the system comprises an optical module, a flexible stretchable electric signal module and a central module; the optical module is used for collecting hemodynamic signals including an oxyhemoglobin change signal, a deoxygenated hemoglobin change signal and a pulse wave signal by combining a near-infrared light signal with hemodynamics; the flexible stretchable electric signal module collects electric signals, including electroencephalogram signals, electromyographic signals, electrocardiosignals and electro-oculogram signals, of all parts through electrodes; the central module is used for digitalizing and preprocessing the hemodynamic signal and the electric signal of each part, fusing multi-modal data, evaluating data quality and predicting a dominant external event influencing the data quality; and meanwhile, data quality and dominant external events are output to the terminal to feed back and adjust acquisition parameters of the optical module and the flexible stretchable electric signal module, so that the effectiveness and practicability of monitoring are remarkably improved.

A method for separation of non-stationary quasi-periodic signals when limited data is available is described. The method utilizes prior knowledge of time-frequency patterns in the signals to mask and in-paint spectrograms. In one implementation this is achieved through an application-inspired deep harmonic neural network coupled with an integrated pattern alignment component. The network's structure embeds the implicit harmonic priors within the time-frequency domain, while the pattern-alignment method transforms the sensed signal, ensuring a strong alignment with the network.

A wearable system for pedestrians / users is adapted to detect threats posed by, for example, approaching vehicles, bikers, and issue an alert. The wearable system may include an inertial measurement unit to measure the gait of the pedestrian and actively adjust alert generation thresholds to account for the noisy and large movements of the gait using present and past IMU data. The thresholds can be raised during active phases of the gait, and lowered in the quieter (i.e., less active) phases of the gait, keeping the range, and therefore time to react, relatively steady with respect to the pedestrian / user's motion. The alert generation threshold may be combined with the processed receiver data to determine threats and alert the pedestrian / user using any combination of haptic, audio, vibrational, or visual outputs.

Examples of wearable systems and methods can use multiple inputs (e.g., gesture, head pose, eye gaze, voice, totem, and / or environmental factors (e.g., location)) to determine a command that should be executed and objects in the three-dimensional (3D) environment that should be operated on. The wearable system can detect when different inputs converge together, such as when a user seeks to select a virtual object using multiple inputs such as eye gaze, head pose, hand gesture, and totem input. Upon detecting an input convergence, the wearable system can perform a transmodal filtering scheme that leverages the converged inputs to assist in properly interpreting what command the user is providing or what object the user is targeting.

Systems and methods for reliably returning a neuromodulation system to a predetermined position relative to a user's head is disclosed. The system includes a neuromodulation device and a stimulation control computing environment. The stimulation control computing environment can be configured with data processing functions to focus ultrasound emission to a target brain region. The system identifies an initial position of one or more ultrasound-emitting elements with respect to the head of a user, uses brain images to identify the target brain region, and performs acoustic simulations to focus ultrasound emissions from the initial position to the target brain region. The distance between an inner surface of the device and a user's head can be measured, and one or more spacing elements can be placed on the inner surfaces based on the measured distances, which enables the reliable return of the neuromodulation device to the initial position with minimal displacement.

Aspects of the present disclosure provide techniques, including devices and system implementing the techniques, to provide feedback to a user of an event when the user is wearing a wearable device. For example, the wearable device may provide high quality noise canceling audio playback to the user, lowering the user's situation awareness. The techniques include measuring ambient sound using two or more microphones on the wearable device. The measured ambient sound is used to determine a related event worth relaying to the user. Based on the location attribute and sound properties, the nature and / or classification of the event may be ascertained using pattern recognition algorithms according to user threshold settings. Insignificant events that the user prefers to ignore will be ruled out by the algorithm. Upon determining the event that merits the user's attention, the wearable device provides feedback to the user indicating the nature and location of the event.

The invention relates to the technical field of intelligent wearable equipment, and discloses an intelligent wearable system integrating multi-modal physiological monitoring and active intervention, which comprises a ring end acquisition module, a mobile end cache module and a cloud intelligent analysis module, and the cloud intelligent analysis module comprises a multi-modal fusion analysis unit, an active intervention decision unit and a user digital twinborn model construction unit, and is used for calculating a sleep score, a readiness score, a pressure index, a blood oxygen trend and a menstrual period prediction result according to the multi-source physiological characteristics, and executing an active intervention decision based on a health state. The sensing module is integrated in the ring body, the light-weight design is suitable for long-term wearing, all-weather data acquisition is guaranteed, compared with a bracelet or a watch, the ring is comfortable and hidden to wear, the continuous use willingness of a user is enhanced, meanwhile, the ring is suitable for high-voltage office or sports scenes, and non-inductive health monitoring is achieved.

A system obtains high-resolution data of actual over-ground gait rehabilitation interactions through a custom-made wearable system for identifying abnormal gait patterns and the therapists' assistance strategies. The system implements an impedance learning algorithm with feature selection and a goal-directed attractor definition reproduces therapist assistance in a way that integrates clinical insights into the control of lower-limb exoskeletons.

Disclosed herein are implementations of systems and methods for providing antenna in package flexible components of wearable devices. A system can include a flexible component having a back plane layer disposed along a length of the flexible component. The system can include an antenna package having an insulating layer comprising a dielectric material disposed above the back plane layer and a circuitry layer disposed above at least a portion of the insulating layer and comprising one or more electrical components for processing antenna signals. The antenna package can include an antenna layer comprising an antenna pattern disposed above the circuitry layer and configured for wireless communication of the antenna signals using the wearable device. The back plane layer can be disposed between antenna layer and a surface of the flexible component configured to interface with a user wearing the wearable device.

The invention belongs to the field of human body detection devices, and provides a wearable system for evaluating pain, which comprises wearable equipment in communication connection with a cloud system. The wearable device is used for continuously collecting physiological signals when a patient wears the wearable device. The cloud system is provided with a hierarchical evaluation module, a correction module and an intervention control module, the hierarchical evaluation module extracts physiological features in a long-term time window, extracts skin electroreaction mutation, a myoelectricity activity peak value and skin temperature rapid change in a short-term time window, and deduces an acute pain level in combination with instant self-evaluation information of a patient; the correction module is used for correcting the acute score based on the mapping relation between the long-term stability characteristic and the acute pain level and an individualized threshold value; the intervention control module generates individualized electrical stimulation control parameters according to the correction result and issues the individualized electrical stimulation control parameters to the wearable device, and the electrical stimulation execution unit outputs a stimulation signal through the percutaneous electrode to relieve pain of the patient and uploads a feedback signal to the cloud end to form a closed loop.

Exemplary systems, methods, and devices are disclosed which provide at-home, portable, wireless sleep sensors and wearable electronics with embedded machine learning. Such devices have applications in assessing sleep quality and detecting sleep apnea with multiple patients. Unlike the conventional system at a sleep center using numerous bulky sensors, the soft all-integrated wearable platform offers natural sleep in a familiar setting. The face-mounted patches that detect brain, eye, and muscle signals show comparable performance in sleep monitoring with polysomnography in a clinical study. Furthermore, deep learning is embedded in an exemplary device, offering automated high-precision sleep scoring, which demonstrates the wearable system's portability and point-of-care usability. The at-home wearable patches help to support portable sleep monitoring and home healthcare.

Systems and methods for interacting with virtual objects in a three-dimensional space using a wearable system are disclosed. The wearable system can be programmed to permit user interaction with interactable objects in a field of regard (FOR) of a user. The FOR includes a portion of the environment around the user that is capable of being perceived by the user via the AR system. The system can determine a group of interactable objects in the FOR of the user and determine a pose of the user. The system can update, based on a change in the pose or a field of view (FOV) of the user, a subgroup of the interactable objects that are located in the FOV of the user and receive a selection of a target interactable object from the subgroup of interactable objects. The system can initiate a selection event on the target interactable object.

Techniques are described for optical sightline tracking in a wearable system. Embodiments include a wearable structure that includes at least one integrated illuminator and at least one integrated imaging array. Each illuminator and imaging array is disposed in the periphery of an eye of a user wearing the structure. From the peripheral viewpoint, embodiments measure a three-dimensional origin point of one or both eyes and can compute angular coordinate measurements for one or both eyes based on the imaging to indicate the direction in which the user's eyes are looking (a sightline). Embodiments can track changes in the sightline to support various applications, such as positioning of display of virtual objects in virtual or augmented reality environments. Some embodiments can also use the obtained imagery for biometric verification and / or identification, detection of changes in pupillary response, etc.

A smart system comprising a contact or contactless PPG sensor to output a PPG signal; and an electronic processing system in communication with the PPG sensor to acquire the PPG signal therefrom and analyse the PPG signal in one or both of time and frequency domains to real-time predict transitions between awake and sleep phases of a subject based on an output of the analysis, either wearing the smart wearable system equipped with the contact PPG sensor or remotely monitored by the contactless PPG sensor.

The present disclosure relates to wearable systems, devices and methods for measuring and analyzing bodily fluids. Systems, devices, and methods are described herein for various embodiments of a sample analysis system worn by a user configured to collect a sample of bodily fluid, and to measure and analyze the bodily fluid to determine characteristics and / or health parameters of the bodily fluid of the user (e.g., degree of hydration, electrolyte loss, rate of perspiration, etc.

A system includes a wearable device including a base adapted to be connected to skin of a patient. An electrochemical sensor is connected to the base. The electrochemical sensor includes a sensor medium responsive to lactate. The electrochemical sensor is in fluid connection with one or more transdermal fluid paths in connection with the base. The one or more transdermal fluid paths are configured to be placed in fluid connection with the subdermal fluid of the patient. The system further includes electronic circuitry including at least one measurement system in operative connection with the electrochemical sensor to measure a variable providing a measure of change in at least one property of the sensor medium which is dependent upon the presence of lactate in the subdermal fluid.

The invention provides a low-illumination image enhancement method based on improved Retinex-Net and an intelligent wearing system, and the method comprises the following steps: collecting a data set with a low-illumination label, and dividing the data set into a training set and a test set; a low-illumination image enhancement model based on improved Retinex-Net is designed and trained and verified, a trained low-illumination image enhancement model is obtained, and the low-illumination image enhancement model is composed of a decomposition network, an adjustment network and a reconstruction network. A sub-network formed by an identical mapping and residual shrinkage construction unit is added into a reflection path of the decomposition network; and enhancing the image by using the trained low-illumination image enhancement model to obtain an enhanced image. According to the low-illumination image enhancement method and the intelligent wearing system provided by the invention, noise generated in an image decomposition process can be effectively suppressed, the definition and quality of the image are improved, and low-illumination image enhancement is realized.

Systems and methods for interacting with virtual objects in a three-dimensional space using a wearable system are disclosed. The wearable system can be programmed to permit user interaction with interactable objects in a field of regard (FOR) of a user. The FOR includes a portion of the environment around the user that is capable of being perceived by the user via the AR system. The system can determine a group of interactable objects in the FOR of the user and determine a pose of the user. The system can update, based on a change in the pose or a field of view (FOV) of the user, a subgroup of the interactable objects that are located in the FOV of the user and receive a selection of a target interactable object from the subgroup of interactable objects. The system can initiate a selection event on the target interactable object.

A method of processing an acoustic signal is disclosed. According to one or more embodiments, a first acoustic signal is received via a first microphone. The first acoustic signal is associated with a first speech of a user of a wearable headgear unit. A first sensor input is received via a sensor, a control parameter is determined based on the sensor input. The control parameter is applied to one or more of the first acoustic signal, the wearable headgear unit, and the first microphone. Determining the control parameter comprises determining, based on the first sensor input, a relationship between the first speech and the first acoustic signal.

Systems and methods for reliably returning a neuromodulation system to a predetermined position relative to a user's head is disclosed. The system includes a neuromodulation device and a stimulation control computing environment. The stimulation control computing environment can be configured with data processing functions to focus ultrasound emission to a target brain region. The system identifies an initial position of one or more ultrasound-emitting elements with respect to the head of a user, uses brain images to identify the target brain region, and performs acoustic simulations to focus ultrasound emissions from the initial position to the target brain region. The distance between an inner surface of the device and a user's head can be measured, and one or more spacing elements can be placed on the inner surfaces based on the measured distances, which enables the reliable return of the neuromodulation device to the initial position with minimal displacement.

A computer system for intra-ear sensing and stimulating receives, health data, from an earbud sensor. The system repeatedly calculates an exponential moving average (EMA) of a moving window for the received health data. The system compares each calculated exponential moving average with a lower threshold value and an upper threshold value. The upper threshold value and the lower threshold value are determined based, at least in part, upon a saturation level associated within an amplifier performing the adaptive gain control. When the calculated exponential moving average is larger than the upper threshold, the system decreases a gain associated with the amplifier. When the calculated exponential moving average is smaller than the lower threshold, the system increases a gain associated with the amplifier.

This document provides an attachment system for facilitating attachment of an object to a user's body part. The attachment system includes: a magnetic retainer adapted to be fastened to the object; a fastener for securing to the user's body part; and a magnetic adapter rotatably connected to the fastener. When the retainer is in use and attached to the object, and the fastener is attached to and near the user's body part, the magnetic attraction between the retainer and the adapter causes the object to attach to the body part, and the rotation between the adapter and the fastener allows the user to use the object comfortably and effectively.

The invention belongs to the technical field of bioelectricity signal acquisition, and discloses a wearable system and method for surface electromyogram signal acquisition and a production method. The wearable system for surface electromyographic signal acquisition comprises a shoe, an electromyographic signal acquisition system is installed on the shoe, the electromyographic signal acquisition system is connected with an elastic metal sock, and the elastic metal sock is located at the top of the shoe; the external electromagnetic interference influence can be greatly reduced, the stability and sampling quality of the electromyographic signals are improved, data can be automatically collected through the electromyographic signal collecting system, the operation process is simple and clear, the wearing experience is good, the normal dressing, movement, training or competition state of a wearer is not influenced, and the working efficiency is improved. And the sampling precision and the system stability are not influenced by the outside, so that a large-amplitude action scene can be met, and convenience is provided for daily training, clinical rehabilitation or large-scale human body signal monitoring.

Biometric metric wearable systems and methods are disclosed for detecting intended limb motion and invoking pain mitigation. Biometric signal data of a user is sensed by biosensor(s) that form part of respective sensor pod(s) of a biometric wearable device while the user performs an intended limb motion. The sensor pod(s) include biofeedback indicator(s). Processor(s) communicatively connected to the biometric wearable device analyze the biometric signal data to learn in real time or near real time user-specific biosignal pattern(s) detected when the user performs the intended limb motion, and generates therefrom learned user intent data configured for at least one of: (1) visualizing a virtual limb, (2) visually controlling a graphical aspect, and / or (3) visualizing the one or more user-specific biosignal patterns on a display device. The processor(s) then visualize the learned user intent data on the display device for invoking a pain mitigation effect with the user corresponding to the given limb.

A wearable system and methods for modifying properties of eyes are provided. The system includes an ultrasonic device; at least one sealed cavity; a fluid and lighting environment control device; a controller; one or more feedback sensors; and a computing device. The method includes applying vibrations through actuators in contact with an eye socket bone through skin; warming a cavity to set temperature to a first temperature for a period up to a predetermined time except when the temperature exceeds a second temperature; setting vibration cycles after the set temperature is reached; initiating a cavity pressure cycling after the set temperature is reached and after the setting vibration cycles is completed; and completing the cavity pressure cycling and then completing the warming. The system and methods can be applied to surgical treatments, medications, finger massage, or used independently to modify the tissue properties of the eye.

Enhanced eye-tracking techniques for augmented or virtual reality display systems. An example method includes obtaining an image of an eye of a user of a wearable system, the image depicting glints on the eye caused by respective light emitters, wherein the image is a low dynamic range (LDR) image; generating a high dynamic range (HDR) image via computation of a forward pass of a machine learning model using the image; determining location information associated with the glints as depicted in the HDR image, wherein the location information is usable to inform an eye pose of the eye.

The application discloses a wearable system for evaluating postoperative pulmonary complication risk, comprising: a data acquisition module, including a vest, a pulse oximeter and a signal recording box, for collecting physiological signals of an evaluated person during submaximal exercise test; a data processing module connected with the data acquisition module, for processing the physiological signals to obtain characteristic data based on the peak and slope of the physiological signals; a model calculation module connected with the data processing module, for inputting the characteristic data into a model trained by using a stochastic gradient algorithm and including preoperative clinical physiological characteristic data, to calculate a postoperative pulmonary complication incidence rate; and a model evaluation module connected with the model calculation module, for determining whether the evaluated person has postoperative pulmonary complications according to a Melbourne Group Score Scale. The system can accurately predict the probability of pulmonary complications by the cooperation of the modules, and provide precise medical intervention guidance for clinical treatment.