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.

A system and method for positioning a sensor on a subject. In some embodiments, the system includes an instrument holder, the instrument holder being configured to be secured to a subject, and to hold an instrument temporarily.

In examples described herein, a patient monitoring device is configured to determine, based on signals received from signal acquisition devices, whether there is a mismatch among sensors connected to the signal acquisition devices. In some examples, each signal acquisition device is configured to communicate to the monitoring device what types of sensors are attached to the respective signal acquisition device. Additionally or alternatively, each signal acquisition device can determine whether there is a mismatch among the sensors connected to the signal acquisition device and send an indication of the match or mismatch to the monitoring device.

Systems and methods for detecting data acquisition conditions using color-based penalties can include a computing device obtaining a sequence of images acquired by a photodetector. The computing device can determine, for each pixel position of a plurality of pixel positions associated with the sequence of images, a respective penalty score indicative of a similarity between a color value of a pixel of the pixel position and a desired color value. The desired color value can represent a color property of light emitted from body parts of users when placed opposite to the photodetector. The computing device can determine, using penalty scores of the plurality of pixel positions, a relative position of a body part of a user with respect to a desired position.

Systems and methods for blood pressure estimation using smart offset calibration can include a computing device associating a calibration photoplethysmographic (PPG) signal generated from a first sequence of image frames obtained from a photodetector of the computing device with one or more measurement values generated by a blood pressure measurement device different from the computing device. The computing device can obtain a recording PPG signal generated from a second sequence of image frames obtained from the photodetector, and identify a calibration model from a plurality of blood pressure calibration models based on the calibration PPG signal and the recording PPG signal. The computing device can generate a calibrated blood pressure value using the recording PPG signal, features associated with the calibration PPG signal and the identified calibration model.

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 oral appliance includes: 1) a body defining a channel to accommodate an upper dentition; and 2) a motion sensor. The body includes a front portion defining a recess, and the motion sensor is affixed to the front portion.

Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In some examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. In some illustrative examples, when overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data. Several examples emphasize the use of morphology analysis using correlation to static templates and/or inter-event correlation analysis.

Methods and devices and systems for determining an analyte value are disclosed.

A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.