An ECG monitoring system includes two or more active electrodes, each active electrode having an electrode pad fixable to a patient to sense physiological potentials from the patient, a common connection port, and a wireless transmitter. The system further includes a common connector electrically connected to the common connector port of each of the two or more active electrodes to provide a comparator signal to each of the active electrodes. Each of the active electrodes compares the physiological potentials sensed at the electrode pad against the comparator signal to generate a cardiac signal, and then wirelessly transmits the cardiac signal with the wireless transmitter.

Aspects of the disclosure can provide a method and device for detecting EEG signals of a first person in proximity to the device. The device can include a non-contact EEG directional circuit having non-contact sensors, the non-contact EEG directional circuit being configured to detect the EEG signals produced by a brain of the first person without making contact with the first person. The device can further include a processor coupled to the non-contact EEG directional circuit that is configured to analyze the EEG signals to detect patterns in the EEG signals that correspond to a state of the first person in proximity to the non-contacting sensor and feedback device that is configured to provide a second person with an indication of the state of the first person in proximity to the non-contacting sensor. Additionally, the device can include a contact EEG circuit having sensors that are in contact with the second person and that is configured to detect second EEG signals produced by a brain of the second person, wherein the processor is coupled to the contact EEG circuit and is configured to analyze the second EEG signals to detect patterns in the second EEG signals that correspond to a state of second the person.

An apparatus for generating ECG recordings and a method for using the same are disclosed. The apparatus includes a handheld device having four electrodes on an outer surface thereof, the handheld device having an extended configuration and a storage configuration. The apparatus also includes a controller configured to measure signals between the electrodes to provide signals that are used to generate an ECG recording selected from the group consisting of standard lead traces and precordial traces. When the handheld device is in the extended configuration and the first and second electrodes contact a first hand of a patient such that the first and second electrodes contact different locations on the first hand, the third electrode is in contact with a location on the patient's other hand and the fourth electrode contacts a point on the patient's body that depends on the particular trace being measured.

An electrode sheet is capable of suppressing an influence of noise that is applied on a wire, and a biological signal measuring device uses the electrode sheet. The electrode sheet is provided with a sheet, a biological signal receiving electrode formed at the sheet and exposed from the sheet, a biological signal amplifier formed at the sheet, an interface part for connection to an external biological signal processing unit, a first wire that connects the biological signal receiving electrode and an input part of the biological signal amplifier to each other, and a second wire that connects the interface part and an output part of the biological signal amplifier to each other.

The invention relates to a system for body-condition-dependent stimulation by means of function modules, e. g. an action module (2, D/A module) for stimulating tissue and a capture module (3, A/D module) for deriving/measuring bio data or bio signals, characterized in that the two modules communicate via a communication link (5) that meets hard or at least firm real-time requirements. The communication link (5) preferably comprises a real-time-capable bus to which the two modules are connected, above all an EtherCAT bus.

A pacemaker system includes a drive-sense circuit (DSC) operably coupled to a pacemaker lead. The DSC generates a pace signal including electrical impulses based on a reference signal. The DSC provides the pace signal via the pacemaker lead to an electrically responsive portion of a cardiac conductive system of a subject to facilitate cardiac operation of a cardiovascular system of the subject. The DSC senses, via the pacemaker lead, cardiac electrical activity of the cardiovascular system of the subject that is generated in response to the pace signal and electrically coupled into the pacemaker lead and generates a digital signal that is representative of the cardiac electrical activity of the cardiovascular system of the subject that is sensed via the pacemaker lead. The DSC provides digital information to one or more processing modules that includes and/or is coupled to memory and that provide the reference signal to the DSC.

There is provided a sensor for an electroencephalographic (EEC) device for measuring electrical signals generated by the neuronal activity of a subject. The sensor has at least one blade-like contact surface and the contact surface has a curved profile adapted for user comfort and electrical contact.

A method, apparatus and computer program, the method comprising: receiving a first biopotential signal obtained by a first capacitive sensor; receiving a second biopotential signal obtained by a second capacitive sensor, the first capacitive sensor and the second capacitive sensor being positioned at different locations on a subject; synchronising biopotential signals obtained by the first capacitive sensor and the second capacitive sensor by applying a time adjustment to biopotential signals obtained by at least one of the first capacitive sensor or the second capacitive sensor; wherein features in at least one of the first biopotential signal and the second biopotential signal are used to synchronise the biopotential signals obtained by the first capacitive sensor and the second capacitive sensor.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations for parasomnia episode management. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations for parasomnia episode management using at least one of pre-sleep parasomnia episode likelihood prediction machine learning models, in-sleep parasomnia episode likelihood prediction machine learning models, augmented parasomnia episode likelihood prediction machine learning models that are configured to generate conditional likelihood scores for candidate parasomnia reduction interventions, deep reinforcement learning machine learning models that are configured to generate recommended parasomnia reduction interventions, and dynamically-deployable parasomnia episode likelihood prediction machine learning models.

A system includes harvester circuitry configured to charge a battery for a medical device using a displacement of a harvester mass, one or more accelerometers configured to detect a motion associated with the harvester mass, and processing circuitry. The processing circuitry is configured to determine, with the one or more accelerometers, motion information for the implanted medical device during a time range that occurs when the harvester circuitry charges the battery using the displacement of the harvester mass. The processing circuitry are further configured to determine a harvester output generated by the harvester circuitry during the time range and output an indication of a potential failure of the harvester mechanism based on the motion information and the harvester output.