A computer-implemented method, computer program product and computing system for receiving a single-lead heartbeat waveform for a user; comparing one or more portions of the single-lead heartbeat waveform to one or more ML-generated waveform features to associate a heart health indicator with the single-lead heartbeat waveform; and providing the heart health indicator to a recipient.

A wearable device includes a wearable device main body, a sensor part configured to contact a skin surface of a user of the wearable device, and measure a bio-signal of the user, and a shock absorber that is interposed between the wearable device main body and the sensor part to mechanically connect the wearable device main body and the sensor part, and that is configured to reduce motion transmission between the wearable device main body and the sensor part to permit the wearable device main body to move independently from the sensor part.

A method for monitoring a health parameter in a person is disclosed. The method involves transmitting radio waves below the skin surface of a person and across a range of stepped frequencies, receiving radio waves on a two-dimensional array of receive antennas, the received radio waves including a reflected portion of the transmitted radio waves across the range of stepped frequencies, generating data that corresponds to the received radio waves, wherein the data includes amplitude and phase data, deriving data from at least one of the amplitude and phase data, and determining a value that is indicative of a health parameter in the person in response to the derived data.

A wearable body composition analyzer according to various embodiments of the present disclosure may include an induction part for inducing secretion of bodily liquid while being in contact with a body part, a collection part that collects the bodily liquid secreted, a sensor part that detects a body composition from the bodily liquid collected, and a wearable part to which the induction part and the collection part is detachably attached, wherein the wearable part may be worn on a body. The above-described wearable body composition analyzer may be implemented variously according to embodiments.

This application discloses a method for controlling an electronic device to perform photoplethysmography detection. The method includes obtaining historical detection data of a photoplethysmography sensor, calculating a confidence of the historical detection data, determining, based on the calculated confidence of the historical detection data, whether a light source to be turned on by the photoplethysmography sensor in a next detection time segment includes a light source different from a light source turned on when the historical detection data is obtained, and determining that a photoelectric sensing element to be turned on in the next detection time segment is a photoelectric sensing element corresponding to the determined light source to be turned on.

Systems and methods for optimizing sensor pressure in blood pressure (BP) measurements using a wearable device are provided. An example method includes recording substantially synchronously photoplethysmogram (PPG) data using a PPG sensor and pressure data using at least one pressure sensor on a wearable device, the wearable device having the PPG sensor, and wherein the at least one pressure sensor is substantially located over a user wrist radial artery while an external force gradually applies and releases pressure a plurality of times to the wearable device, wherein the external force is applied to the radial artery. The PPG data and the pressure data is monitored as the PPG data changes in response to the external force being applied and released multiple times during a period. From the recorded PPG and pressure data, a set data us formed of PPG peak values and pressure values. A curve is fitted through the data set. From the curves apex value a MAP value is determined.

The melanin bias reducing pulse oximeter system reduces melanin interference when obtaining pulse oximetry readings for individuals with higher skin concentrations of melanin. The system incorporates optics reducing the melanin bias through hardware and software designed using extensive testing, via a proprietary testing method. The physical pulse oximeter includes different mechanical designs, for example, finger clip, ring, and bracelet design for enhanced usage, accuracy, and comfort for those unable to wear traditional pulse oximeters. The user interface includes built-in UI, external and portable UI, bedside monitoring, and connection to patient monitoring systems, via wired and/or wireless means. Further systems include those with both melanin bias reducing pulse oximetry and heart telemetry in the same device, via either a wired or wireless compact waterproof system to be used for continuous monitoring including blood oxygen saturation as a 5.sup.th vital sign. Systems also include fall detection, bed alarm, and location services.

A modular sensing assembly may be used to detect user inputs at an electronic device. Example user inputs include touch inputs, fingerprint inputs, translational inputs, audio inputs, biometric inputs, and the like. Inputs received using the modular sensing assembly may be used to control a graphical output of a display of the electronic device. A modular sensing assembly may be configured, for example, as a power button, a key of a keyboard, a control button (e.g., volume control), a home button, a watch crown, and so on.

An electronic device for identifying occurrence of hypotension and a method therefor are provided. The electronic device includes a housing, a user interface, a photoplethysmogram (PPG) sensor exposed through at least part of the housing, a motion sensor disposed in the housing, at least one processor operatively coupled with the user interface, the PPG sensor, and the motion sensor, and a memory operatively coupled with the at least one processor. The memory may store instructions which, when executed by the at least one processor, cause the at least one processor to, based on first data from the motion sensor indicating a change of a selected pattern, identify a blood pressure value based at least in part on second data from the PPG sensor, and based on the identified blood pressure value being lower than a first threshold, provide a notification through the user interface.

A non-interdependent displacement measuring device for converting a rotary motion to a linear motion is disclosed, which includes a driving unit, a detection unit, and a resistance device. The driving unit includes an adjustment section and a driving section. The detection unit is arranged in the adjustment section. The driving section is connected to the resistance device. The detection unit includes a sensing module and a transmission module, and the detection unit is arranged in the adjustment section, so that when the adjustment section rotates, the detection unit detects turns and an angle of rotation of the adjustment section to generate a detection signal, which, after being subjected to calculation, is transmitted through the transmission module to the electronic device to display the level of an resistance, so as to overcome the drawbacks of the prior art that accuracy is poor, calibration is difficult, and fabrication is difficult due to a magnet and a sensor being arranged as two separate parts.