Energy-efficient monitoring and detection of atrial fibrillation using an electronic device can include scheduling, by the electronic device, monitoring periods during which the electronic device intermittently monitors a user of the electronic device for atrial fibrillation. The scheduling can be based on determining an AF risk specific to the user. Time intervals between successive AF monitoring periods can be modulated by the electronic device in response to detecting a change in the AF risk.

Accuracy of vital signs monitoring systems depend on the quality of the measurements by the sensors. Crude techniques are applied to discard measurements which have a low signal-to-noise ratio or are saturated. A more accurate and flexible technique enables more measurements to be kept, more meaningful signal quality information to be extracted, more accurate vital signs extraction and more systems to readily embed signal quality assessment in the signal processing pipeline. Improvements include preprocessing of the signal that is independent of variations of underlying hardware, use of features with low computational complexity and high predictive power, cross-channel feature extraction, application of a trained machine learning model, and flexible translation of signal quality classification information into a continuous metric for signal quality.

An oximeter probe determines an oxygen saturation for the tissue and determines a quality value for the oxygen saturation and associated measurements of the tissue. The quality value is calculated from reflectance data received at the detectors of the oximeter probe. The oximeter probe then displays a value for the oxygen saturation with the error value to indicate a quality level for the oxygen saturation and associated values used to calculate oxygen saturation.

A system for monitoring vital signs, configured to be used in conjunction with a computerized mobile device, the system including: a cover sensor assembly adapted to be operably engaged with the computerized mobile device, the cover sensor assembly having integrated therein at least one physiological sensor; a physiological data acquisition module configured to generate a physiological parameter measurement descriptive of a physical stimulus received by the at least one physiological sensor; and a validation module configured to control a validity status of the physiological parameter measurement.

Provided are a heart rate detection method and a wearable device. The wearable device includes a casing, a processor installed in the casing, and an optical heart rate sensing module and a distance sensing module connected to the processor and installed on a side of the casing facing a wearing part of a user. The method includes: detecting, by the distance sensing module, a positional relationship between the optical heart rate sensing module and the wearing part of the user to obtain relative position data of the optical heart rate sensing module relative to the wearing part of the user; and adjusting a signal transmission power of the optical heart rate sensing module according to the relative position data, and detecting, by the optical heart rate sensing module, a heart rate of the user.

A computer-implemented method for generating an annotated photoplethysmography signal, includes: recording an electrocardiogram or ECG signal; recording a photoplethysmography or PPG signal, semi-synchronously with the recording of the ECG signal; annotating segments in the ECG signal either algorithm-based or expert-based; time-aligning the PPG signal and the ECG signal; detecting ECG beats in the ECG signal; detecting PPG beats in the PPG signal; pairing the ECG beats onto the PPG beats; deriving annotations for PPG signal segments based on the nature of the ECG segment annotations and on how the ECG beats can be paired with the PPG beats; and annotating the PPG signal segments using the annotations, thereby generating the annotated PPG signal.

A method is provided that includes determining a quality of a data portion of an input sensor data stream based, at least in part, on data of a first data type and determining between, at least, generation of two or more streams of a second, different data type including at least one synthesised data stream of the second data type. Determining between generation of two or more streams of a second, different data type is based, at least in part, on the determined quality. The synthesis is based, at least in part, on the data of the first data type. The method further includes causing generation of at least one stream of the second, different data type based, at least in part, on the determination between generation of two or more streams of the second, different data type.

An apparatus for estimating blood pressure according to an example embodiment of the present disclosure includes: a pulse wave sensor configured to measure a pulse wave signal from an object; and a processor configured to obtain a first feature and a heart rate based on the pulse wave signal, estimate a mean arterial pressure (MAP) based on the first feature and the heart rate, and estimate a first blood pressure based on the MAP and a pulse pressure (PP).

A wearable device configured to monitor physiological parameters of a wearer can include: a physiological parameter measurement sensor configured to monitor a plurality of physiological parameters; a hardware processor; a display in communication with the processor; and a band configured to secure the physiological parameter measurement sensor on a wrist of the wearer. In some implementations, the hardware processor is configured to: obtain a first plurality of signals from the physiological parameter measurement sensor when the band is secured on the wrist at a first tightness; determine a signal quality responsive to the first plurality of signals; and output an indication on the display to adjust tightness of the band with respect to the wrist from the first tightness to a second tightness based on the determined signal quality.

A live subject tissue detection device includes a light source configured to emit light onto the tissue of a subject, a photodetector configured to receive light reflected from the tissue and light reflected from the blood flow, wherein the light reflected from the blood flow has a Doppler shift relative to the light reflected from the tissue, and generate a high frequency Doppler signal based on the Doppler shift, a detection circuitry configured to receive the high frequency Doppler signal from the photodetector and convert the high frequency Doppler signal into a low frequency signal, and at least one processor configured to compute parameters of the low frequency signal, compare the parameters of the low frequency signal to respective reference values, and determine a presence of live tissue based on the comparison.