The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

An apparatus comprises a respiration sensing circuit configured for coupling electrically to a plurality of electrodes and for sensing a respiration signal representative of respiration of a subject; a signal processing circuit electrically coupled to the respiration sensing circuit and configured to extract a respiration parameter from a sensed respiration signal and determine a signal performance metric for the sensed respiration signal using the respiration parameter; and a control circuit. The control circuit is configured to: initiate sensing of a plurality of respiration signals using different electrode combinations of the plurality of electrodes and determining of the signal performance metric for the sensed respiration signals; and enable an electrode combination from the plurality of electrodes and for use in monitoring respiration of the subject according to the signal performance metric.

Systems and methods of body temperature measurement obtain a first temperature from a first temperature sensor. The first temperature sensor is separated from a second temperature sensor by a first insulator. A second temperature is obtained from the second temperature sensor. A heat transfer rate between the first temperature and the second temperature sensor is calculated and a body temperature determined from the heat transfer rate.

A fingerprint authentication method includes a first step of acquiring partial fingerprint measurement data for a part of a fingerprint, and a second step of calculating a matching rate by comparing the partial fingerprint measurement data with reference comparison data selected among a plurality of partial fingerprint registration data, each partial fingerprint registration data corresponding to a part of a fingerprint. The method further includes a third step of determining whether the matching rate is equal to or greater than an authentication threshold and a fourth step of determining, based on a result in the third step, a success of the authentication, or repeating the second and third steps by selecting new reference comparison data based on whether or not the matching rate is equal to or greater than a preset threshold smaller than the authentication threshold.

A system includes at least one earpiece, wherein each earpiece comprises an earpiece housing, an optical source operatively connected to the earpiece housing, wherein the optical source is configured to emit light toward an ear surface, an optical sensor operatively connected to the earpiece housing, wherein the optical sensor is configured to receive reflected light from the ear surface, and at least one processor disposed within at least one earpiece and operatively connected to the optical source and the optical sensor, wherein the at least one processor is configured to separate the pulse oximetry signals from the audio signals in the reflected light detected by the optical sensor.

A physiological sensor has light emitting sources, each activated by addressing at least one row and at least one column of an electrical grid. The light emitting sources are capable of transmitting light of multiple wavelengths and a detector is responsive to the transmitted light after attenuation by body tissue.

A method of presenting data from a remote sensor that is monitoring a subject includes obtaining a data stream from the remote sensor, wherein the data stream includes a sensor metric, a metric identifier, dynamically updated integrity information about an accuracy of the sensor metric, and a diagnostic assessment of a health condition of the subject, and then displaying, via a display associated with the client device, the diagnostic assessment of the health condition of the subject, a metric statistic associated with the diagnostic assessment, and a recommendation as to an action to be taken by the subject.

A method for detecting a failure of at least one component of a continuous analyte monitoring system is disclosed. The continuous analyte monitoring system has a failure detection resistor and an analyte sensor having at least two measurement electrodes. A constant voltage is applied between the two measurement electrodes and a first response signal is measured. A failure detection signal that is distinguishable from the constant voltage and/or from the first response signal in frequency and/or in height is applied to the continuous monitoring system, and a second response signal to the failure detection signal is measured using the failure detection resistor. Information is determined depending on at least one actual property of the component by evaluating the first response signal and the second response signal. A failure is detected if the information deviates from an expected value by more than a predetermined tolerance.

A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects. Correction actors, fusion algorithms, EIS, and advanced ASICs may be used to implement the foregoing, thereby achieving the goal of improved accuracy and reliability without the need for blood-glucose calibration, and providing a calibration-free, or near calibration-free, sensor.

A bio-signal quality assessment apparatus may include: a bio-signal obtainer configured to obtain a bio-signal; and a processor configured to extract periodic signals from the obtained bio-signal, and determine a signal quality index based on at least one of similarity between the extracted periodic signals and signal variability of the obtained bio-signal.