The invention discloses an object, a method and a system for detecting heartbeat or whether an electrode is in good contact. The heartbeat is detected by arranging multiple textile electrodes on the textile, using ECG equipotential line diagram, considering interference caused of human movement, and designing a separating electrode structure, electrode position, area and lead layout in an innovative manner; the dry electrode or capacitive coupling electrode is selected along with the change of environmental state so as to pick up the ECG signals; the contact between the electrode and the human body can be detected whether it is in a good state or not by measuring the noise, body surface impedance, muscle impedance and the like; in addition, the posture and action of human body can be speculated according to the wave mode and noise of the ECG signals.

The present invention provides a method of conducting a sleep analysis by collecting physiologic and kinetic data from a subject, preferably via a wireless in-home data acquisition system, while the subject attempts to sleep at home. The sleep analysis, including clinical and research sleep studies and cardiorespiratory studies, can be used in the diagnosis of sleeping disorders and other diseases or conditions with sleep signatures, such as Parkinson's, epilepsy, chronic heart failure, chronic obstructive pulmonary disorder, or other neurological, cardiac, pulmonary, or muscular disorders. The method of the present invention can also be used to determine if environmental factors at the subject's home are preventing restorative sleep.

The present invention provides a method of conducting a sleep analysis by collecting physiologic and kinetic data from a subject, preferably via a wireless in-home data acquisition system, while the subject attempts to sleep at home. The sleep analysis, including clinical and research sleep studies and cardiorespiratory studies, can be used in the diagnosis of sleeping disorders and other diseases or conditions with sleep signatures, such as Parkinson's, epilepsy, chronic heart failure, chronic obstructive pulmonary disorder, or other neurological, cardiac, pulmonary, or muscular disorders. The method of the present invention can also be used to determine if environmental factors at the subject's home are preventing restorative sleep.

A platform system for remotely monitoring one or more behavioral event of at least one user is disclosed. The platform system includes at least one computer system having an internet connection and at least one web application, the at least one computer system having a memory for storing an array of contextual data relating to the at least one user; at least one wearable device having a processor and being communicatively connected to the at least one user and being in electronic communication with the at least one computer system, the at least one wearable device having one or more sensors for detecting physiological data of the at least one user, the at least one wearable device having a memory for storing an array of physiological data detected by the one or more sensors; wherein the processor of the at least one wearable device determines a behavioral event relating to the at least one user based on the array of physiological data in view of the array of contextual data, the processor communicating the behavioral event to the computer system; and wherein the computer system provides a notification relating to the behavioral event.

An apparatus having a ring-shaped housing configured to be wrapped round a finger of a user, the ring-shaped housing having an opening or a joint at a first point round the finger and a first contiguous section that is at a location opposite to the first point across a central axis of the ring-shaped housing; an antenna configured in the ring-shaped housing in the contiguous section; an inertial measurement unit configured to measure motions of the finger; a light-emitting diode (LED) indicator configured on an outer portion of the ring-shaped housing; a charging pad configured to charge a battery configured in the ring-shaped housing; and/or a touch pad configured to receive touch input from a finger of the user.

A sensing system comprising a hand-held sensing device with a vibracoustic sensor module (VSM). The VSM comprises a voice coil component comprising a coil holder supporting wire windings; a magnet component comprising a magnet supported by a frame, a magnet gap configured to receive at least a portion of the voice coil component in a spaced and moveable manner; a connector connecting the voice coil component to the magnet component, the connector being compliant and permitting relative movement of the voice coil component and the magnet component; a diaphragm configured to induce a movement of the voice coil component in the magnet gap responsive to incident acoustic waves; a housing for retaining the vibroacoustic sensor module having a handle end and a sensor end, the sensor end having an opening, the VSM positioned such that at least a portion of the diaphragm extends across the opening.

Secure, integrated, personalized smart information management and exchange systems, methods and devices are disclosed to increase the quality of professional services and reduce the cost of operations. The present invention is smart by providing cognitive augmented interaction based on dynamically updated guidelines, knowledge bases, and/or artificial intelligences. The present invention also is secure for both stored and transmitted information. The present invention focuses on the individual level to provide personalized and data driven feedbacks. The present invention integrates various fields of inputs to provide whole and more accurate services.

Disclosed is an exercise guidance system using an electromyography sensor, the system including: a control server receiving exercise information by working in conjunction with a monitoring module, in which an exercise guidance application is installed, over a wired/wireless communication network, the control server providing analysis information on user's exercise; and a signal processing module receiving detection signals from multiple electromyography sensors attached on a user body, calculating muscle activity by analyzing the detection signals, and providing a result of the calculation to the monitoring module. According to the embodiment, the cost burden of personal training is reduced, and the monotony of exercising along is reduced. Also, there is no limitation of place and time because exercise is possible anywhere. Also, the electromyography sensor works in conjunction with the smartphone to provide visualization of the user's exercise volume, the user's muscles, and the like, thereby facilitating efficient exercising.

The present invention relates to an electrode (1) comprising: —at least one reservoir (11) comprising a peripheral wall (111) made of a foam material, wherein said reservoir (11) is filled with a viscous electrolytic paste (12); —at least one plate (13) comprising a conductor material, wherein said plate (13) is in contact with the electrolytic paste (12) and configured to conduct electrical signals to a recording device; —at least one fastener (14); and wherein the at least one reservoir (11) comprises a hole (113) configured to release the electrolytic paste (12) under pressure applied on the electrode (1). The present invention also relates to the use of said electrode (1) and a process for the implementation of an electrode (1).

A method—for biometric based person recognition systems is provided. The method provides an identification of a personalized bioelectric code and a personal ID code by identifying persons and gestures of a person with a benefit of behavioral biometric data of Electromyography (EMG) signals. The method includes the steps of: making the person wishing to create a password to wear a wristband, simultaneously recording of hand movements in eight bioelectric signals from eight EMG sensors in recordings of up to 10 seconds, repeating each selected movement type by the person at least ten times, clearing a recorded raw signal group from noise signals with a bandpass filter, separating a signal cleaned from the noise signals into to windows, creating a customized behavioral biometric data set with generated attributes for each transaction, obtaining the personalized bioelectrical code and the personal ID code.