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 motion monitoring method (500) is provided, which includes: obtaining a movement signal of a user during motion, wherein the movement signal includes at least an electromyographic signal or an attitude signal (510); and monitoring a movement of the user during motion based at least on feature information corresponding to the electromyographic signal or the feature information corresponding to the attitude signal (520).

A heartbeat detection device includes: a sensor data acquisition unit that acquires sensor data indicating an electrocardiographic waveform of a living body and outputs a sampling data sequence D(i) based on the sensor data; a first calculation unit that calculates a temporal difference value DY(i) of sampling data D(i) from the output sampling data sequence D(i) for each sampling time; a determination unit that determines a heartbeat time on the basis of a time at which a change in the calculated temporal difference value DY(i) exceeds a set threshold; a correction unit that corrects the heartbeat time by using a reference time; and a heart rate calculation unit that calculates a heart rate of the living body from the corrected heartbeat time.

A biological information measuring apparatus includes a detector, a measuring unit, a calculator, and a determining unit. The detector detects pulse waves continuously. The measuring unit measures first biological information. The calculator calculates second biological information from the pulse waves based on the first biological information. The measuring unit suspends the measurement and resumes the measurement after a lapse of a period in a case where the determining unit does not determine that the result of measurement is normal, and the measuring unit continues the measurement in other cases where the body motion is not generated, the pulse waves are not irregular or the blood pressure value fails to vary.

The present disclosure provides a system and method for motion field generation and image correction. The method may include obtaining a plurality of first sets of magnetic resonance (MR) image data of an object generated based on a plurality of first sets of imaging sequences. The method may include obtaining a motion curve of the object. The method may include obtaining position emission tomography (PET) image data of the object generated in a scanning time period. The method may include generating one or more target motion fields corresponding to the scanning time period based on the plurality of first sets of MR image data and the motion curve. The method may include generating one or more corrected PET images by correcting, based on the one or more target motion fields, the PET image data.

A system-on-chip contactless physiological sensor (10) is provided which comprises a capacitive-sensor electrode (14) having a first capacitance (C1) and an amplifier device (18) connected to the capacitive-sensor electrode (14), the capacitive-sensor electrode (14) and amplifier device (18) at least in part forming an amplifier circuit for the physiological sensor (10). An artefact-reducing capacitor (20) is then connected in series between the capacitive-sensor electrode (14) and an input of the amplifier device (18), the artefact-reducing capacitor (20) having a second capacitance (C2) which is less than the first capacitance (C1). In this sensor (10), there is no impedance boosting input between the capacitive-sensor electrode (14) and the input of the amplifier device (18).

The disclosure provides wearable cardiac arrest detection and alerting device that incorporates a non-invasive sensor based on optical and/or electrical signals transmitted into and received from human tissue containing blood vessels, and that transcutaneously quantifies the wearer's heart rate. The heart-rate quantification enables the detection of the absence of any heart beat by the wearable detection and alerting device indicative of the occurrence of a cardiac arrest, wherein the heart is no longer achieving effective blood circulation in the individual wearing the device. The display on the wearable cardiac arrest detection and alerting device may include the elapsed time since the time of detection of a heart rate that is below a predetermine lower limit value, i.e., the detected occurrence of a cardiac arrest event.

Systems, apparatus, and methods for measuring heart rate are disclosed. An example system includes a transmitter to emit electromagnetic waves; a first sensor to output signals representative of the electromagnetic waves reflected by a subject; a second sensor to generate image data, the image data including data corresponding to a chest of the subject; machine readable instructions; and processor circuitry to at least one of instantiate or execute the machine readable instructions to generate heartbeat data by cancelling harmonics associated with respiration by the subject from data corresponding to the output signals of the first sensor based on the image data, and determine a heart rate for the subject based on the heartbeat data.

The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for processing sensor data, including calculating a rate of change of sensor data and/or determining an acceptability of sensor or reference data.

An ambulatory medical device including a plurality of sensing electrodes and one or more processors operably coupled to the plurality of sensing electrodes is provided. Each sensing electrodes is configured to be coupled eternally to a patient and to detect one or more ECG signals. The one or more processors are configured to receive at least one electrode-specific digital signal for each of the plurality of sensing electrodes, determine a noise component for each of the electrode-specific digital signals, analyze each of the noise components for each of the plurality of sensing electrodes, generate electrode matching information for each sensing electrode of the plurality of sensing electrodes based upon analysis of each of the noise components, determine one or more sensing electrode pairs based upon the electrode matching information, and monitor each of the one or more sensing electrode pairs for ECG activity of the patient.