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.

A dynamic wake-up alarm is provided-for, including a clock, a contactless biometric sensor, a processor, memory, and a speaker. The processor may be configured to receive a wake-up rule based on at least two wake-up criteria including a time from the clock and data from the biometric sensor, and evaluate whether the criteria are met to activate an alarm.

Means and methods for measuring pain and adapted for calculating the level of nociception during general anesthesia or sedation from data including electroencephalogram (EEG), facial electromyogram (EMG), heart rate variability (HRV) by electrocardiogram (ECG) and plethysmography by impedance cardiography (ICG). In a preferred embodiment of this invention the parameters derived from the EEG, the HRV, the plethysmographic curve and the analgetics concentrations are either combined into one index on a scale from 0 to 100, where a high number is associated with high probability of response to noxious stimuli, while a decreasing index is associated with decreasing probability of response to noxious stimuli. Zero (0) indicates extremely low probability of response to noxious stimuli. In an alternative embodiment, only features from the EEG and ECG will be used or only features from EEG, ECG and ICG, to define the fmal index.

An apparatus is suitable for measuring a photoplethysmogram (PPG). A photoplethysmographic sensor apparatus may include a casing defining a surface, a plurality of optical emitters configured to emit radiation extending from the surface, at least one photo sensor configured to capture radiation emitted by at least a subset of the plurality of optical emitters. At least a first measurement configuration and a second configuration is defined by the plurality of optical emitters and the at least one photo sensor such that the first and the second measurement configuration provide different measurement channels by including at least partially different sets of at least one optical emitter and at least one photo sensor. The first and second measurement configurations define different spatial configurations, each of which is line symmetric with respect to an imaginary line along the surface.

Provided is an electronic device to monitor a user's biological measurements, where a sensor is configured to acquire a first signal from a user, and a diagnostic processor is configured to pre-process the first signal to generate a second signal, segment the second signal to form signal segments, determine at least one event location for each of the signal segments, match adjacent signal segments for feature alignment, and provide a third signal using results of the feature alignment.

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.

This document discusses, among other things, apparatus, systems, or methods to efficiently collect heart sound data, including detecting first heart sound information of a heart of a patient using a heart sound sensor in a first, low-power operational mode, and detecting second heart sound information of the heart using the heart sound sensor in a separate second, high-power operational mode. The operational mode of the heart sound sensor can be controlled using physiologic information from the patient, including heart sound information, information about a heart rate of the patient, or other physiologic information from the patient that indicates worsening heart failure.

Systems and methods for assessing sympathetic nervous system (SNS) tone for renal neuromodulation therapy are disclosed herein. A system configured in accordance with embodiments of the present technology can include, for example, a detector attached to or implanted in a patient and a receiver communicatively coupled to the detector. The detector can measure cardiac data and the receiver and/or a device communicatively coupled thereto can analyze the cardiac data to provide one or more SNS tone indicators. The SNS tone indicators can be used to determine whether a patient will be responsive to a neuromodulation therapy and/or whether a neuromodulation therapy was effective.

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.

There is described a method and system for measuring a level of anxiety. Measured data comprising EEG data collected from a parietal (P) EEG electrode is received. A group 8 indicator based on a power, P-power (dt), associated with a delta-theta frequency band, dt, within a delta-theta frequency range is extracted. Based on said group 8 indicator, a level of anxiety, LoA, is determined which is a value indicative of the level of anxiety of the subject.