A61B5/6898

HANDHELD BIOMETRIC SENSOR FOR MOBILE DEVICES
20170303858 · 2017-10-26 · ·

A system and method comprises structure for receiving in a handheld device biometric or environmental data from the vicinity of the handheld device. The system may include a handheld mobile device such as a cellular telephone, or that device and a separate mechanical housing configured be held in a hand of a user and to clamp to or contain the handheld device. The system may include a specialized radar unit and be designed to analyze radar signals to provide a signal indicative of time varying arterial blood pressure. The mechanical housing may include a receiver designed to receive a biometric or environmental signal and to wirelessly transmit a corresponding signal to the handheld device when clamped to the handheld device.

MEDICAL EXAMINATION SYSTEM ENABLING INTERCHANGEABLE INSTRUMENT OPERATING MODES

An examination system having separate enabled interchangeable operating modes includes at least one medical device having a housing retaining an optical system. The examination system further includes an adapter that is configured for aligning a plurality of disparate smart devices with the optical system of the medical device when the adapter is attached to the medical device, thereby enabling multiple operating modes without modification to the device. In at least one version, common engagement features are provided on a plurality of medical devices to permit the adapter and an attached smart device to be used therewith interchangeably.

MOBILE HYPERSPECTRAL CAMERA SYSTEM AND HUMAN SKIN MONITORING USING A MOBILE HYPERSPECTRAL CAMERA SYSTEM

A mobile hyperspectral camera system is described. The mobile hyperspectral camera system comprises a mobile host device comprising a processor and a display: a plurality of cameras, coupled to the processor, configured to capture images in distinct spectral bands; and a hyperspectral flash array, coupled to the processor, configured to provide illumination to the distinct spectral bands. A method of implementing a mobile hyperspectral camera system is also described.

DEVICE AND METHODS FOR AUTOMATED TESTING
20170308663 · 2017-10-26 ·

A testing device which provides testing relating to a health parameter monitoring device and/or a health monitoring application run at a user device is disclosed. In one embodiment, the device comprises: a transceiver which receives a control signal from a controlling device; a health parameter monitoring device connection port which connects to the health parameter monitoring device; a user device connection port which connects to the user device; and a plurality of simulation apparatus configured to electronically recreate one or more physiological parameters of a user according to the control signal. The physiological parameters are monitored by the health parameter monitoring device, which provides a plurality of data relating thereto to the user device for entry within the health monitoring application. The user device outputs at least a display of the health monitoring application to the controlling device for analysis thereof. Systems and methods for performing testing are also provided.

BREATHING MEASUREMENT AND MANAGEMENT USING AN ELECTRONIC DEVICE

Passively monitoring a user's breathing with a device can include identifying breathing modes of the user's breathing and responsive to detecting a trigger mode based on the identifying, generating an instruction adapted to the trigger mode. The instruction can be conveyed to the user via the device. The monitoring can include determining phases of the user's breathing with the device. Determining the phases can include receiving acoustic signals generated by an acoustic sensor in response to a user's breathing and generating acoustic data comprising features extracted from the acoustic signals. Phases of the user's breathing can be determined by classifying the acoustic data using a machine learning model trained based on signal processing of motion signals generated by a motion sensor in response to human breathing motions. Though trained using signal processing of motion signals, the machine learning model is trained to classify acoustic data.

DYNAMIC TARGET RATE FOR GUIDED BREATHING

Aspects of the present disclosure provide methods, apparatuses, and systems for dynamically adjusting a breathing entrainment based on whether a user is stressing or relaxing. According to an aspect, a first target breathing period is selected, and a guiding stimulus configured to alter a current breathing period of the user towards the first target breathing period over an interval of time is output. One or more relaxation biometrics are measured and analyzed to determine whether the user is stressing or relaxing. Based on whether the user is relaxing or stressing, at least one of the guided stimulus and the first target breathing period are adjusted, where the first target breathing period is adjusted to a second target breathing period different from the first target breathing period. By making adjustments based on whether a user is relaxing or stressing, the breathing entrainment is more effective and comfortable for users.

System and Method for Providing Real-Time Feedback Related to Fitness Training
20220054892 · 2022-02-24 ·

A system and method including the steps of analyzing an expert training video; extracting reference data from the expert training video; storing the extracted reference data to a master database; loading a selected profile from the master database; communicating with a sensor implement placed on a predetermined landmark of a user's body; loading a selected workout, exercise or activity to perform after the sensor implement is calibrated; retrieving a reference data for the selected workout, exercise or activity, wherein said reference data comprises a pose estimation from the expert training video; recording user's movement based on data received from the sensor implement; rendering the user's movements on the GUI screen; comparing values collected from the sensor recording step with the retrieved reference data; and providing a user feedback based on the comparing step.

DISPLAY DEVICE INCLUDING A FORCE SENSOR, A LIGHT RECEIVING SENSOR, AND A MAIN PROCESSOR
20230172553 · 2023-06-08 ·

A display device capable of measuring a user's blood pressure by analyzing a photoplethysmographic signal is disclosed. The display device includes a display panel including a plurality of pixels; a force sensor disposed on a surface of the display panel, the force sensor configured to sense an external force; a light receiving sensor disposed between a group of neighboring pixels of the plurality of pixels, or disposed in a through hole in a front portion of the display panel, the light receiving sensor configured to sense an amount of light reflected toward the display panel and generate an optical signal corresponding to the amount of light; and a main processor configured to generate a pulse wave signal according to the optical signal received from the light receiving sensor and analyze a magnitude, a period, and a wave change of the pulse wave signal.

MONITORING DEVICE FOR PHYSIOLOGICAL SIGNAL MONITORING AND OPERATION METHOD THEREOF

A monitoring device for physiological signal monitoring includes a first light receiving and transmitting device and a control device. The first light receiving and transmitting device generates a first light signal to an object and receives a second light signal to generate a first electrical signal. The control device controls the first light receiving and transmitting device to generate the first light signal in a first period, and controls the first light receiving and transmitting device to receive the second light signal to generate the first electrical signal in a second period. The invention further includes an operating method for physiological signal monitoring.

SYSTEM AND METHODOLOGY FOR DIAGNOSIS, PREDICTION AND TREATMENT OF AMYGDALA HYPERACTIVITY IN HUMAN PATIENTS
20220059225 · 2022-02-24 ·

A system for identifying amygdala hyperactivity in a human patient includes a network-connected mobile apparatus associated with the user. The network-connected mobile apparatus may be used to accept mood, energy and behavior input from the user and to accept third party patient observation data via the network. The network-connected device may be further used to accept provider-labeled patient observation data via the network and to provide behavioral suggestions to the user based on a set of profile rules. The profile rules may be generated from the behavior input from the user, the third-party patient observation data, and provider-labeled patient observation data as processed by a machine-learning system.