A method of distinguishing a non-epileptic seizure from an epileptic seizure in a patient, comprising: detecting a seizure in a patient based on at least one first body signal of the patient selected from an autonomic signal, a neurologic signal, a metabolic signal, an endocrine signal, and a tissue stress marker signal; analyzing at least one second body signal of the patient selected from an autonomic signal, a neurologic signal, a metabolic signal, an endocrine signal, and a tissue stress marker signal; determining, based on the analyzing, at least a first classification index comprising at least one of an epileptic seizure index and a non-epileptic seizure index; and classifying the seizure as one of a non-epileptic seizure or an epileptic seizure based on the at least a first classification index. A medical device system capable of implementing the method. A computer-readable device for storing data that, when executed, perform the method.

A stimulation probe device including a first electrode, a stimulation module, a control module and a physical layer module. The stimulation module is configured to (i) wirelessly receive a payload signal from a console interface module or a nerve integrity monitoring device, and (ii) supply a voltage or an amount of current to the first electrode to stimulate a nerve or a muscle in a patient. The control module is configured to generate a parameter signal indicating the voltage or the amount of current supplied to the electrode. The physical layer module is configured to (i) upconvert the parameter signal to a first radio frequency signal, and (ii) wirelessly transmit the first radio frequency signal from the stimulation probe to the console interface module or the nerve integrity monitoring device.

A stimulation probe device including a first electrode, a stimulation module, a control module and a physical layer module. The stimulation module is configured to (i) wirelessly receive a payload signal from a console interface module or a nerve integrity monitoring device, and (ii) supply a voltage or an amount of current to the first electrode to stimulate a nerve or a muscle in a patient. The control module is configured to generate a parameter signal indicating the voltage or the amount of current supplied to the electrode. The physical layer module is configured to (i) upconvert the parameter signal to a first radio frequency signal, and (ii) wirelessly transmit the first radio frequency signal from the stimulation probe to the console interface module or the nerve integrity monitoring device.

A system for measuring and monitoring physiologically relevant motion of a subject includes at least a motion sensor to measure movement of the subject and produce a series of movement data representing the movement of the subject over a period of time. The system also includes at least a biometric sensor to simultaneously measure biometrics of the subject and produce a series of biometric values of the subject over the period of time. The system is configured to determine a noise-to-signal ratio for the series of movement data as a function of biometric intervals in the series of biometric values and identify at least a portion of the series of movement data as corresponding to a physiologically relevant biorhythm. The system can be used to diagnose and monitor a disease or disorder, including a neurological disorder or a traumatic brain injury.

A sensor interface system for providing a connection between at least one sensor and a maternal-fetal monitor, wherein the interface system converts electrical muscle activity captured by the sensor(s) into uterine activity data signals for use by the maternal-fetal monitor. The sensor interface system of the invention preferably includes a conversion means for converting the signals from the sensor(s) into signals similar to those produced by a tocodynamometer.

A sensor interface system for providing a connection between at least one sensor and a maternal-fetal monitor, wherein the interface system converts electrical muscle activity captured by the sensor(s) into uterine activity data signals for use by the maternal-fetal monitor. The sensor interface system of the invention preferably includes a conversion means for converting the signals from the sensor(s) into signals similar to those produced by a tocodynamometer.

A device for rehabilitating patients especially with peripheral nervous system paralysis. The rehabilitation device comprising a remote control terminal, a base, an arm mounted to a column with adjustable height containing an motor propelling the arm and at least two electrodes of the electromyography (EMG) sensor according to the disclosure is characterized in that the actuator (7) enables the extension (4) to move within the angular range of 360°, while the EMG signal from the sensor connected to the muscle or muscles of the patient is transmitted to the network of the motor controlling module (2) and then further by radio or cable connection to a remote control terminal (1).

A device for rehabilitating patients especially with peripheral nervous system paralysis. The rehabilitation device comprising a remote control terminal, a base, an arm mounted to a column with adjustable height containing an motor propelling the arm and at least two electrodes of the electromyography (EMG) sensor according to the disclosure is characterized in that the actuator (7) enables the extension (4) to move within the angular range of 360°, while the EMG signal from the sensor connected to the muscle or muscles of the patient is transmitted to the network of the motor controlling module (2) and then further by radio or cable connection to a remote control terminal (1).

The present disclosure provides a device with electrodes configured to record electrical activity that are confined to a restricted area, using recorded biological electrical signals to control cursor position in a speech-assistance interface, and using recorded biological signals to detect arousals during sleep.

The present disclosure provides a device with electrodes configured to record electrical activity that are confined to a restricted area, using recorded biological electrical signals to control cursor position in a speech-assistance interface, and using recorded biological signals to detect arousals during sleep.