513results about "Diagnostics using light" patented technology

The invention belongs to the technical field of artificial intelligence and health monitoring, and particularly relates to an emotion recognition and intervention system based on facial micro-expression and physiological signal fusion. The emotion recognition precision is improved through space-time alignment analysis of facial micro-expressions and physiological signals, adaptive feedback is achieved in combination with cognitive load correlation modeling and a wearable multi-channel regulation and control terminal, cross-period emotion evolution prediction and group situation awareness are supported, a'awareness-decision-intervention 'complete closed loop is constructed, and the emotion recognition efficiency is improved. And the accuracy and initiative of emotion management in a complex environment are enhanced.

A ring-type wearable device is disclosed. The disclosed ring-type wearable device comprises: an outer ring member; an inner ring member separably inserted into the outer ring member; a sensor unit disposed in the outer ring member; and a control unit disposed in the outer ring member so as to be electrically connected to the sensor unit, wherein the sensor unit can maintain constant sensitivity in correspondence to the thickness of the inner ring member.

The present disclosure provides apparatus and methods to both infer stent expansion (vessel expansion or compliance) and probability of procedural success (vessel patency) from pretreatment diagnostic imaging at the point-of-care and also train an inference model to generate such an inference, thus allowing a physician to choose with greater certainty an optimal treatment tool and treatment protocol for treating a vessel of a patient.

A biometric wearable device (e.g. finger ring or smart watch) has optical sensors to measure body oxygenation level, hydration level, glucose level, heart rate, heart rate variability, and / or blood pressure. Light from light emitters is transmitted through body tissue and changes in the light are analyzed. The angles and / or vectors along which the light is transmitted through body tissue can be automatically changed by the device in order to scan different tissue regions and / or different tissue depths.

A method of monitoring a subject with an opto-physiological sensor system is described herein. The method comprises obtaining a model of the optical properties of at least one body tissue type to be monitored, wherein the model of the optical properties comprises a definition of static (DC) and dynamic (AC) components of transmitted optical power and a definition of a source-detector separation related to a normalised path length for an illumination source of the opto-physiological sensor: obtaining an indication of at least one physiological property of the subject from a wearable device worn by the subject: obtaining an indication of at least one physical variable from the wearable device worn by the subject; determining, using the opto-physiological model, how the at least one physical variable affects the at least one physiological property; and determining a corrected value for the physiological property based on the determination of how the at least one physical variable affects the at least one physiological property.

The invention relates to a personalized sleep-aiding regulation and control method and system fusing multi-band characteristics and closed-loop feedback, and relates to the technical field of sleep regulation and control. According to the method, a cross-band coupling matrix is constructed, a nerve-physiological synergy index is calculated, environment-brain state interaction potential energy is calculated based on different band powers and environment sound pressure levels, and the nerve-physiological synergy index and the environment-brain state interaction potential energy are combined into a coupling state vector; solving the coupling state vector to judge the stability of the sleep state; on the basis, personalized sleep induction dynamic attractor intensity is calculated, and different sleep regulation and control strategies are generated according to the steady state / unsteady state and the corresponding attractor intensity. According to the invention, the unique sleep dynamics of the user can be understood and self-adaptively regulated.

The present application belongs to the field of artificial intelligence and health monitoring technology, and specifically relates to an emotion recognition and intervention system based on facial micro-expression and physiological signal fusion. The disclosed system integrates multi-modal synchronous acquisition, dynamic feature fusion decoding and individualized closed-loop intervention functions. Through the spatio-temporal alignment analysis of facial micro-expression and physiological signals, the emotion recognition accuracy is improved. Combined with cognitive load correlation modeling and wearable multi-channel regulation terminals, adaptive feedback is realized, cross-period emotion evolution prediction and group situation awareness are supported, a complete closed loop of "perception-decision-intervention" is constructed, and the accuracy and initiative of emotion management in complex environments are enhanced.

The present disclosure provides a detection apparatus and an electronic device. In the detection apparatus, a first photodetector is disposed between two adjacent first light sources, and second light sources are located in a detection region enclosed by a plurality of first light sources and a plurality of first photodetectors. The first light source has a first distance H1 and a second distance H2 from at least two of all first photodetectors, and the second light source has a third distance H3 and a fourth distance H4 from at least two of all first photodetectors. The first light sources, the second light sources, and the first photodetectors are distributed in distribution regions of the detection apparatus. Each light source and one photodetector may form one PPG module, and an effective detection depth in skin may vary with a distance between the light source and the photodetector.

A ring-type wearable device is disclosed. The disclosed ring-type wearable device comprises: an outer ring member; an inner ring member separably inserted into the outer ring member; a sensor unit disposed in the outer ring member; and a control unit disposed in the outer ring member so as to be electrically connected to the sensor unit, wherein the sensor unit can maintain constant sensitivity in correspondence to the thickness of the inner ring member.

The invention discloses an AI-based injury condition evidence obtaining and processing method and device and electronic equipment, and the method comprises the steps: carrying out the feature point matching of a first infrared image and a first optical image according to the edge contour of a to-be-detected scene, so as to generate a second infrared image and a second optical image; performing feature point matching on the second infrared image and the second optical image according to the edge contour of the wound to generate a third infrared image and a third optical image; wound consistent features and wound difference features in the third infrared image and the third optical image are obtained based on an AR virtual scale; and according to the wound consistent characteristics and the wound difference characteristics, determining the wound type and the wound cause of the to-be-detected target, and based on the wound type and the wound cause of the to-be-detected target, realizing wound condition evidence obtaining and processing of the to-be-detected target. Both the device and the electronic equipment can execute the injury condition evidence obtaining and processing method. Through the arrangement, the efficiency of evidence collection and treatment of injury conditions can be improved.

The invention discloses an rPPG physiological signal reconstruction recognition system based on generative adversarial optimization, and relates to the technical field of data processing. The system comprises a signal preprocessing module used for extracting an initial rPPG signal from an input video sequence; and the signal reconstruction module comprises a generator and is used for receiving the initial rPPG signal and outputting a reconstructed rPPG signal. According to the method, by introducing a multi-dimensional discriminator set and physiological prior loss collaborative optimization mechanism, the precision and robustness of rPPG signal reconstruction are remarkably improved. The system can restrain signal quality from multiple angles of time domain, frequency domain and time-frequency domain, and restrain irrational fluctuation in combination with physiological laws, thereby effectively overcoming motion artifacts and illumination interference. Meanwhile, the dynamic region-of-interest selection module adaptively focuses an optimal signal region through a learnable attention mechanism, the input quality is improved from the source, and finally high-reliability estimation of the physiological parameters such as the heart rate and the respiration rate in a complex scene is achieved.

A finger-worn sensing device includes a measurement-device body and a finger-worn structure. The finger-worn structure includes a carrying base on which the measurement-device body can be detachably mounted. The finger-worn structure also includes a first elastic band and a second elastic band, which extend from opposite sides of the carrying base and which overlap each other under the carrying base to form an annular space for the user's finger. The first elastic band has a first free end. The second elastic band has a second free end. The first free end is closer to the annular space than the second free end. A light emitter and a light receiver are located on the inner walls of the first and second elastic bands, respectively. The light emitter and the light receiver are arranged opposite each other so that they can optically sense physiological readings from the finger.

A device 100 for development of concentration, the device 100 comprising: an optical sensing unit, the optical sensing unit comprising a plurality of one or more lenses 201, 202 capable of holding sensitive elements, wherein the plurality of sensitive elements are configured to sense a biological signal provided by a user in at least three operational modes, three switches for switching between the plurality of operation modes; a plurality of lightning units configured to indicate each of the plurality of operation modes by emitting a predetermined light signal; a processing unit for processing information using artificial intelligence.

The invention belongs to the technical field of medical information processing, and discloses a wound repair analysis method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining three-dimensional point cloud data, spectral data and patient physiological signals obtained through multiple times of scanning of a to-be-repaired wound; performing dynamic correction on the three-dimensional point cloud data based on the physiological signal of the patient and the spectral data to generate a standardized wound three-dimensional model; performing space-time dimension wound assessment based on the model and the dynamic data of the wound to obtain a quantitative assessment report; and finally, generating an individualized repair scheme through double-path driving of historical data and operator experience. According to the method, the scanning precision is improved through a dynamic correction algorithm fused with physiological signals, advanced prediction of postoperative risks is achieved through a space-time dimension evaluation model, the individual suitability of the scheme is improved through a double-path scheme generation mechanism, and the precision and success rate of plastic wound repair are remarkably improved.

A wearable device to accurately detect biometric information of the user. The wearable device includes a ring body; a light emitting element which is disposed in the ring body, and is configured to emit light toward a center side of a ring; and a first optical element which is disposed in the ring body to be closer to the center side of the ring than the light emitting element, and is configured to change a direction of travel of the light to a direction narrowing a directional angle of the light. The ring body includes a protrusion on an inner peripheral surface of the ring body where the first optical element is disposed, and the protrusion is formed to protrude closer to the center side of the ring than another part of the inner peripheral surface where the first optical element is not disposed.

The invention relates to the technical field of image processing, and discloses a facial health state assessment method and system based on layered optical modeling. The objective of the invention is to solve the problems of poor face health state evaluation precision and robustness caused by rough optical modeling, mixed reflection components, weak environmental adaptability and insufficient multi-dimensional health index fusion capability in the prior art. The method comprises the following steps: synchronously acquiring a user face video sequence comprising at least two different spectral bands through a multispectral imaging device; constructing a multilayer optical transmission model of the skin tissue, and separating a specular reflection component and a diffuse reflection component from the face video sequence; extracting a physiological time sequence signal related to subcutaneous blood flow activity from the separated diffuse reflection component, and calculating heart rate, heart rate variability and blood oxygen saturation parameters; and fusing the physiological parameters and expression and micro-expression features extracted from the facial video sequence, and outputting quantitative evaluation results of fatigue degree, pressure level and emotional state through a pre-trained deep neural network model. The system comprises a multispectral image acquisition module, a layered optical modeling module, a reflection component separation module, a physiological parameter inversion module and a health state evaluation module. According to the technical scheme, the signal-to-noise ratio and stability of physiological signal extraction in a complex illumination environment can be remarkably improved, the adaptability to individuals with different skin colors and dynamic illumination conditions is enhanced, and more accurate and more robust judgment of the high-order health state is achieved.

An eyeshade structure for bilirubin detection includes a body, a first detection module, and a second detection module. The body includes a bottom plate and a side wall. The side wall is connected to the bottom plate and forms an accommodating space with the bottom plate. The first detection module is arranged on the bottom plate. The second detection module is arranged on the bottom plate and is adjacent to the first detection module. The first detection module and the second detection module each include a circuit board, a light-emitting element, an inner photographing element, and an outer photographing element. The circuit board is connected to the bottom plate. The light-emitting element is electrically connected to the circuit board. The inner photographing element is electrically connected to the circuit board. The outer photographing element is electrically connected to the circuit board.

An infant monitoring device is disclosed having a band or sock configured to wrap around the foot or other portion of an infant. The sock houses a removable sensing module configured to couple to the sock and measure health parameters of the infant. The sensing module is removably couplable with a base station that charges the sensing module. The sensing module transmits and receives information from the base station. Both the base station and the sensing module can transmit and receive information from a remote location.

To provide augmented reality (AR) glasses with auto coregistration of an invisible field on visible reality which allows eyes to directly recognize a real space and precisely performs coregistration on only diagnosis and treatment information of invisible light, which is emitted from a specific area, to the real space.SOLUTION: Augmented reality glasses include a glasses body to be worn on the face of a user, an invisible light emission unit arranged on one side of the glasses body and configured to emit invisible light toward a target object, an input unit arranged on one side of the glasses body and configured to input the invisible light emitted from the target object together with visible light to a waveguide, an information processing unit arranged on one side of the glasses body and configured to convert invisible light image information received from the input unit into visible light image information which is recognizable by a person, and an image output unit arranged on one side of the glasses body and configured to receive the visible light image information processed in the information processing unit and output the received visible light image information to eyeballs through the waveguide.SELECTED DRAWING: Figure 1

The invention discloses a swallowing type cow rumen sensor and a disease monitoring and early warning system. Comprising a swallowing type dairy cow rumen sensor, a data receiving host and a cloud platform upper computer, the sensor is of a sealed columnar capsule structure, a pH detection assembly, a TDLAS technology-based methane gas sensing system, a temperature sensor, a three-axis attitude sensor and a vibration power generation unit are integrated in the sensor, and the sensor resides in a rumen through a counterweight; the cow behavior recognition module is used for processing the collected posture data in real time based on an edge calculation algorithm built in the main control module so as to realize cow behavior recognition; the data receiving host is configured with a LoRa wireless receiving module and a 4G communication module and is used for receiving and synchronously uploading data; and the cloud platform upper computer analyzes the uploaded multi-dimensional physiological feature data and behavior recognition results based on a deep learning algorithm so as to realize disease diagnosis and accurate feeding decision. The device solves the problem that the deep body sign of the dairy cow is difficult to obtain, and has the characteristics of small size, corrosion resistance, discharge prevention, self power supply and the like.

A system for monitoring anxiety of an individual includes a chair having at least a seat and a back, a base supporting the chair, and a first sensor disposed in at least one of the seat or the back. The first sensor is configured to, without being in direct contact with the individual, continuously obtain data related to a first physical characteristic from the individual seated in the chair. The first physical characteristic is one of respiration or pulse rate. The system further includes a display and a controller. The controller is configured to receive, in real-time, the data related to the first physical characteristic from the first sensor and compile a first metric from the received data. The first metric is configured to visually represent a change in the first physical characteristic. The controller is further configured to output the first metric to the display in realtime.

An apparatus for assessing balance is described comprising a light source; a light guide; and a light detector. The light source is arranged to introduce light into the light guide; the light guide is arranged to be stood upon by a subject; the light detector is arranged to detect light emanating from the light guide to thereby facilitate an assessment of the balance of the subject standing upon the light guide.

A living body information measuring apparatus includes: an enclosure having an enclosure surface that comes into contact with an object under inspection in a measurement state in which living body information on the object under inspection is measured; a light measurement portion disposed in the enclosure and configured to radiate measurement light to the object under inspection and receive reflected light; and a light transmissive member configured to transmit the measurement light and the reflected light, having a contact surface that comes into contact with the object under inspection in the measurement state, and including at least one protrusion and a recess at least a part of which is surrounded by the at least one protrusion, the at least one protrusion and the recess being located at the contact surface.

A system to detect a location of an introducer can include an introducer that can include a distal tip and a lumen. The system can also include an optical fiber that can be disposed within the lumen of the introducer and that can include a first end, a second end, and a U-shaped portion disposed between the first end and the second end. The U-shaped portion can be at least proximate to the distal tip. Further, the system can include a light emitter that can be coupled with the first end of the optical fiber and a light receiver that can be coupled with the second end of the optical fiber. Further, the system can include an electronic processor. The electronic processor can be coupled with the light receiver and configured to detect a decrease in an intensity of light received at the light receiver.

The invention discloses a target state parameter determination method and device, a storage medium and an electronic device, and relates to the technical field of smart home, and the target state parameter determination method comprises the steps: obtaining a target face video stream of a target object outputted by an image collection module, obtaining a light supplementing state signal output after the light supplementing module supplements light to the space where the target object is located; determining a light supplement condition corresponding to each frame of image in the target face video stream according to the light supplement state signal, and determining a reference light intensity offset of a forehead area and a nose root area in each frame of image according to the light supplement condition corresponding to each frame of image; and according to the reference light intensity offset of the forehead region and the nose root region in each frame of image, pixel-by-pixel correction is performed on the pixel brightness value of each frame of image to obtain a corrected video stream, and a target state parameter of the target object is determined according to the corrected video. By adopting the technical scheme, the problem that the state parameters of the target object cannot be accurately determined is solved.

This disclosure is directed toward systems and methods for monitoring patients in a clinical setting by using non-contact multimodal imaging. For example, based on receiving imaging data, a computing device may identify an object and a region of focus formed by the object. The computing device may then cause a sensor to capture first sensor data at a first time and second sensor data at a second time, wherein the sensor data is associated with the region of focus. Based on determining that a difference between the first sensor data and the second sensor data is greater than or equal to a threshold difference, the computing device may generate and send, to an additional computing device, an alert indicative of the second sensor data.

The invention provides a functional lung partition adjustment method and device, equipment and a medium, and the method comprises the steps: obtaining a functional lung image of a target object and an initial functional partition result corresponding to the functional lung image; constructing a graph structure model based on an initial function partitioning result and functional lung imaging; wherein the graph structure model comprises nodes, edges and weights of the edges; each node is used for representing an initial functional area, the edge is used for connecting two adjacent nodes, and the weight of the edge is used for indicating the similarity between the two adjacent nodes; and based on the graph structure model, adjusting the initial function partitioning result to obtain a target function partitioning result. According to the embodiment of the invention, the method can achieve the adjustment of the plurality of initial function regions based on the graph structure model through the similarity between the initial function regions, obtains a plurality of target function regions with continuous regions and regular boundaries, and further obtains a target function region result with low discreteness and small application limitation.

The present invention relates to a testing device (10) comprising: a light supply (12), which is designed to guide a first illumination light; a conversion element (14), which is designed to convert light from the first illumination light having a first wavelength (16) at least partially into second illumination light having a second wavelength (18) different from the first wavelength (16); and an optical target (20), which is arranged such that first illumination light and second illumination light can be supplied thereto for lighting the target (20) in order to detect a calibration image (22) of the optical target (20).

To provide a sensor capable of improving the light collection efficiency to the light-receiving section. [Solution] According to the embodiment, the sensor comprises a first insulating substrate having a first island portion and a second island portion arranged in a first direction, and a strip portion disposed between the first island portion and the second island portion and connecting the first island portion and the second island portion; a photodiode disposed on the first insulating substrate; a sealing layer that seals the photodiode; and a reflective member disposed above the sealing layer, wherein the reflective member reflects light that has passed through the first insulating substrate and entered the reflective member.

The invention provides a signal processing method and a related device. The signal processing method comprises the following steps: acquiring a first signal and a second signal; wherein the first signal is an echo signal reflected by a first body part of a target object, the echo signal is a signal obtained after a wireless signal sent by terminal equipment is reflected, and the second signal is an image signal of a second body part of the target object; the first body part is closer to one side of the heart of the target object than the second body part; based on the first signal and the second signal, the transmission time of pulse waves is determined; and determining physiological parameters of the target object based on the transmission time of the pulse wave. According to the method, the accuracy of the detected physiological parameters of the target object can be improved, and meanwhile, the method can be suitable for portable terminal equipment.