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.

Sensing devices including sensors such as flexible and stretchable fabric-based pressure sensors, may be associated with or incorporated in garments, such as socks, intended to be worn against a body surface (directly or indirectly). Specific manifestations of a sensing system incorporated in a sock substrate are described in detail. Dedicated electronic devices interface electrically with sensors through intermediate conductive traces, optional conductive bridges, conductive contacts provided in a mounting tab.

An arrangement may include a first system provided for processing physiological data representative of a beating heart. The first system may be adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system. The second system may be adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the first system, and for sending the at least one new pattern to the first system. The at least one new pattern may also include a rule that includes a set of conditions and an action to perform if the set of conditions is met.

This invention is smart clothing with stretch and/or bend sensors for measuring changes in a person's body configuration. This smart clothing has an elastic nonconductive layer onto which helical converging/diverging conductive pathways are printed using ink which is a mixture of elastic nonconductive material and conductive material. Changes in the transmission of electromagnetic energy through the pathway are analyzed to measure changes in the configuration of the person's body.

provided is an automotive key device connected, in the form of a holder, to a mechanism of opening or shutting an automotive door or merged with the mechanism of opening or shutting the automotive door. The automotive key device includes an electrocardiogram (ECG) sensor having a first body signal electrode and a second body signal electrode and a contact terminal electrically connected to the ECG sensor. The contact terminal is configured to serve as a passage for electrical connection with devices within a vehicle. A steering wheel docking station and a system configured to include the steering wheel docking station and the automotive key device are also provided.

Methods, devices, systems, and non-transitory processor-readable storage media are disclosed for determining one or more biometric properties of a subject using multiple sensors positioned along a flexible backing. At least one processor of the multi-sensor device may be configured to receive output signals from the multiple sensors, identify at least one output signal from the received output signals that exhibit measurements of a targeted biological structure, determine the one or more biometric properties of the subject based on the identified at least one output signal received from at least one of the multiple sensors, and provide the determined one or more biometric properties.

Methods and apparatuses are described for qualifying peaks included among a collected EMG signal and include methods where various test groupings of peaks may be constructed from among a group of peaks. Methods and apparatuses herein may facilitate identification of patterns of abnormal motor manifestation, initiation of alarms if those patterns are identified, and the organization of data for inclusion in a searchable medical database.

A medical monitoring device for monitoring electrical signals from the body of a subject is described. The medical monitoring device monitors electrical signals originating from a cardiac cycle of the subject and associates each cardiac cycle with a time index. The medical monitoring device applies a forward computational procedure to generate a risk score indicative of hyperkalemia, hypokalemia or arrhythmia of the subject. The medical monitoring device can adjust the forward computational procedure based upon clinical data obtained from the subject.

Cortical entrainment device (CED) and associated methods are provided. The CED device includes an electroencephalographic (EEG) analysis module configured to receive and process an EEG waveform for analyzing brain activity of a patient with epilepsy or a seizure disorder; an interictal epileptiform discharge (IED) analysis module configured to receive and process an IED waveform for analyzing the brain activity of the patient; and a diagnostic module that is configured to interface with the EEG analysis module and the IED analysis module, to evaluate spectral and temporal waveform characteristics, and to provide instructions to a therapy module for providing a stimulus for the patient based on the analysis by the EEG analysis module and the IED analysis module.

The invention determines an efficiency value (E) denoting preferably the relative period of muscle fibre activity during a recorded period of exercise, and a strength value (S) representing the number of muscle fibres recruited during a movement as part of the exercise or of a muscle contraction, and a temporal value (T) representing the frequency with which muscle fibres are activated repeatedly during exercise, and finally combines the efficiency value (E), the strength value (S) and the temporal value (T) by a linear combination to obtain an index value (ESTi) indicative of the fitness level of the individual. The obtained ESTi Score is useful for assessing the training level of an animal or human individual and the individual's potential for different types of sports and other activity. Also the effect of past training or diet can be assessed, and the possible need for changes in training or diet can be assessed.