The invention is directed to methods for diagnosing reperfusion/non-reperfusion hemorrhage and predicting cardiac arrhythmias and sudden cardiac death in subjects comprising using imaging techniques to detect regional iron oxide deposition. The invention also provides treatment methods for subject at increased risk of sudden cardiac death.

A device including an array of electrodes generates one or more electrical signals from a user, extracts one or more noise signals, and generates one or more de-noised electrical signals upon processing the electrical signal(s) with the noise signal(s). The array of electrodes is coupled to a surface of the device, where the device also includes force sensors in mechanical communication with the surface for detecting user weight and other forces. The device can be configured to generate electrical signals from different subportions of the array of electrodes and to extract noise signals from different subportions of the array of electrodes, where the subportion(s) for electrical signal generation may or may not overlap with the subportion(s) of electrodes for noise signal extraction.

The present disclosure presents at least one communication interface for prediction of data related to health conditions, wherein the at least one communication interface is configured to receive health-related data, preferably comprising measurement data, from a first user device of a first user, associated with a first time and a first location. The at least one communication interface additionally comprises at least one processor configured to utilize said received health-related data to generate predictive data to be indicated to a second user device of a second user associated with a second time and a second location.

Hearing aid system comprising at least one hearing aid is provided. The hearing aid system further comprising an input unit for receiving an input sound signal from an environment of the hearing aid user and providing at least one electric input signal representing said input sound signal, an output unit for providing at least one set of stimuli perceivable as sound to the hearing aid user based on processed versions of said at least one electric input signal, a processing unit connected to said input unit and to said output unit and comprising signal processing parameters to provide said processed versions of said at least one electric input signal, at least one photoplethysmogram (PPG) sensor configured to provide a PPG signal of the hearing aid user, and a listening effort determination unit configured to provide at least one PPG morphology parameter value based at least on the PPG signal, compare the at least one PPG morphology parameter value with at least one corresponding reference PPG morphology parameter value and determine a morphology comparison measure, and determine a listening effort of the hearing aid user. A hearing aid is further provided.

This disclosure is related to measuring an individual's executive function under both external and internal pressures. A variety of data points and sensor data may be used to measure executive function data, including, but not limited to: first physiology data, user provided engagement factor data, and mental status data These data points may be converted into first physiology data and engagement factor data, which may be further converted into lifestyle factor data to generated, a first user score, a second user (and/or a third user) score—each score measuring performance under various different cognitive tasks or loads. The scores may be used to measure the individual's executive function under various pressure or load situations.

An electronic device, such as a watch, has a housing to which a carrier is attached. The carrier has a first surface interior to the electronic device, and a second surface exterior to the electronic device. A set of electrodes is deposited on the exterior surface of the carrier. An additional electrode is operable to be contacted by a finger of a user of the electronic device while the first electrode is positioned against skin of the user. The additional electrode may be positioned on a user-rotatable crown of the electronic device, on a button of the electronic device, or on another surface of the housing of the electronic device. A processor of the electronic device is operable to determine a biological parameter of the user based on voltages at the electrodes. The biological parameter may be an electrocardiogram.

Systems and methods for predicting and treating relapses for neurological conditions in accordance with embodiments of the invention are illustrated. One embodiment includes a method for predicting and treating a clinical neurological condition relapse. The method includes steps for selecting a threshold heart rate variability value for a patient suffering from a clinical neurological condition, monitoring, using a cardiac monitor, the heart rate variability of the patient over time, providing an indicator that a relapse is imminent when the heart rate variability of the patient falls below the threshold heart rate variability value, and treating the patient using a transcranial magnetic stimulation device by applying an accelerated theta burst stimulation protocol where the transcranial magnetic stimulation target is the left prefrontal dorsolateral cortex.

Various examples are described for detecting heart rate and respiratory rate by using measurements of light applied to skin through an article. For example, a sensor application obtains a set of measurements of light. The application compensates for a contribution of the article based on one or more known optical properties of the article. The sensor application further determines, from the set of measurements of light, a periodic change in amplitude. The sensor application identifies the periodic change in amplitude as a heart rate having an identical periodicity. The sensor application identifies a respiratory rate as equal to the rate of change of the heart rate.

Methods and apparatuses for stimulation of the vagus nerve to treat inflammation including adjusting the stimulation based on one or more metric sensitive to patient response. The one or more metrics may include heart rate variability, level of T regulatory cells, particularly memory T regulatory cells, temperature, etc. Stimulation may be provided through an implantable microstimulator.

A computer generates an accident risk definition model to estimate a probability of hazard occurrence as an accident risk by inputting first in-vehicle sensor data collected in the past and hazard occurrence data having information on hazard occurrence from the first in-vehicle sensor data preset therein, generates accident risk estimation data by inputting second in-vehicle sensor data collected in the past to the accident risk definition model and estimating the probability of the hazard occurrence, generates an accident risk prediction model to predict the accident risk after a predetermined time by inputting first biological index data corresponding to the second in-vehicle sensor data and the accident risk estimation data, calculates second biological index data from second biological sensor data by acquiring the second biological sensor data of a driver, and predicts the accident risk after the predetermined time by inputting second biological index data to the accident risk prediction model.