An embodiment is a wearable device attached to a living body, including a base material including a first surface and a second surface opposite to the first surface, a first flow path in the base material having a first end and a second end and extending along a direction toward the second surface, the first end open to the first surface and, a second flow path in the base material having a third end and a fourth end, the third end connected to the second end, the fourth end open to the second surface, a water absorbing structure on the second surface and configured to absorb sweat transported from the first flow path through the second flow path, a light source configured to emit light toward the second flow path, and a light receiving element configured to receive the emitted light and convert the received light into an electrical signal.

A method for detecting gait events based on acceleration, comprising the following steps: obtaining a three-axis acceleration energy signal and a three-axis acceleration signal, and filtering and smoothing the three-axis acceleration energy signal and the three-axis acceleration signal; using a peak detection and a zero-crossing detection to screen points of local maximum and exceeding the peak threshold from processed vertical acceleration signal to form a point set ZC2; for any point ZC.sub.k in the point set ZC2, searching for the maximum value of the AP acceleration within a preset search window centered on the abscissa of the point ZC.sub.k. By only analyzing three-axis acceleration data for gait event recognition, the utilization of hardware resources is improved, the number of sensors is reduced, the accuracy of gait event detection is improved, and the consumption of computing resources is reduced.

Disclosed includes a body surface device for diagnosing locations associated with electrical rhythm disorders to guide therapy. The device can sense electrical signals and determine multiple sites that may be operative in that patient. The patch may encompass the heart regions from where the heart rhythm disorder originates. The patch comprises an array of electrodes configured to detect electrical signals generated by a heart. A controller may determine the locations of interest based on detected electrical signals. The controller is configured to locate these regions relative to the surface patch. The system may be coupled to a sensor or therapy device inside the heart, to guide this device to a region of interest. The controller is further configured to instruct the operator to use the trigger or source information to treat the heart rhythm disorder in an individual using additional clinical data and methods for personalization such as machine learning.

A system for monitoring injuries comprising a plurality of wearable user input devices and a wireless transceiver. Each of the plurality of wearable user input devices may be configured to detect motion patterns of a user. Each of the plurality of wearable user input devices may be configured as performance equipment. The wireless transceiver may be configured to communicate the motion patterns to a user device. The user device may be configured to (i) develop and store reference patterns related to impacts, (ii) compare the detected motion patterns with the reference patterns, (iii) estimate a location and direction of an impact based on the comparison, (iv) accumulate data from the estimated impact with previously suffered impact data, (v) aggregate results based on the accumulated impact data and context information and (vi) generate feedback for the user based on the aggregated results.

New activity recognition, recording, analysis and control techniques, systems and sensors are provided. In one embodiment, multiple sensory tags with unique identification and data transfer attributes, create positional, movement, orientation and acceleration data and supply it to a control system. The tags may be placed at location(s) on the user's body, clothing, personal effects, exercise equipment and other activity-relevant locations, to enhance activity recognition and mapping. The system may define a personal activity space, sample data preferentially from that space, and perform a simplified form of object-recognition to determine, record and analyze user activities.

The present invention relates to a device and method for detecting light allowing retrieval of a physiological parameter of a user carrying said device. To improve the efficiency of light capturing, the device (1, 2, 3, 4) comprises a light source (10) arranged for emitting light of at least a first wavelength into tissue of the subject, a wavelength converter (20) arranged for receiving at least part of the emitted light after interaction of the emitted light with the tissue and for converting the received light into at least a second wavelength different from the first wavelength, and a light sensor (30) arranged for receiving light converted by said wavelength converter.

Disclosed herein are methods that can comprise detecting a cardiopulmonary measurement in a subject. Disclosed herein are methods that can comprise monitoring a disease in a patient by detecting a cardiopulmonary measurement. Disclosed herein are methods that can comprise treating a patient after detecting a cardiopulmonary measurement in a subject.

A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Examples of the disclosure relate to an apparatus (101), a wearable electronic device and an optical arrangement for optical coherence tomography. The apparatus comprises an optical coherence tomography system (103) and an optical arrangement (105). The optical arrangement comprises at least one means for beam shaping (109) configured to shape a beam of light from the optical coherence tomography system. The optical arrangement also comprises at least one mirror (111) positioned so that light from the means for beam shaping is incident on the at least one mirror. The at least one mirror is configured to move in at least one direction relative to the optical coherence tomography system.

To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios. In another implementation, the pipeline decomposes the physiological data into frequency-banded components, identifies brain states derived from the decomposed data—for example, clusters of correlations of decomposed data envelopes—grades the performance data, compares the graded performance data to the brain states, and identifies statistical relationships between the brain states and levels of performance.