A sensing system and method uses a sense electrode arrangement for coupling to a surface of a body such that the sense electrode arrangement and the body (and the spacing between them) define a coupling capacitance. First and second sensing circuits have different transfer functions and generate first and second outputs. These outputs are processed to determine the coupling capacitance. The electrophysiological signal being monitored is also acquired by one or both of the sensing circuits. In this way, the quality of the electrode coupling can be determined in a simple and passive manner.

A spinal cord stimulator (SCS) system and method for placing SCS electrodes in a patient for spinal cord stimulation therapy. The SCS system includes a stimulator and a base unit. In conjunction with a machine learning (ML) block, the base unit includes an algorithm module to store and process algorithms for processing data received from recording electrodes placed in a patient's body. The recording electrodes send electromyography (EMG) data to the algorithm module. The algorithm module processes and sends the EMG data to a display device. The displayed data is used, by a surgeon, for lateralization of the SCS electrode. The SCS system further includes algorithms to adjust stimulation parameters related to SCS electrodes based upon the surgeon's workflow. Further, the SCS system allows manual modification of stimulation parameters based upon muscle responses and the EMG data from the recording electrodes.

Electrodes that can be formed in a flexible band of a wrist-worn device to detect hand gestures are disclosed. Multiple rows of electrodes can be configured to detect electromyography (EMG) signals produced by activity of muscles and tendons. The band can include removable electrical connections (e.g., pogo pins) to enable the electrode signals to be routed to processing circuitry in the housing of the wrist-worn device. Measurements between signals from the active electrodes and one or more reference electrodes can be obtained to capture EMG signals at a number of locations on the band. The measurement method and mode of operation (lower power coarse detection or higher power fine detection) can determine the location and number of electrodes to be measured. These EMG signals can be processed to identify hand movements and recognize gestures associated with those hand movements.

A computer-implemented method for pelvic floor feedback. The method includes capturing a strength of action potentials via wireless sensors, the wireless sensors positioned proximate to a pelvic floor of a user. The method also includes transmitting the strength of the action potentials to a mobile device. The method also includes recording the strength of the action potentials on the mobile device.

A computer-implemented method for pelvic floor feedback. The method includes capturing a strength of action potentials via wireless sensors, the wireless sensors positioned proximate to a pelvic floor of a user. The method also includes transmitting the strength of the action potentials to a mobile device. The method also includes recording the strength of the action potentials on the mobile device.

A device for functional electrical stimulation (FES), neuromuscular electrical stimulation (NMES), and/or in receiving electromyography (EMG) signals includes a sleeve and electrodes. The sleeve is sized and shaped to be worn on a human arm, and comprises a stretchable fabric The sleeve has a distal end disposed on or adjacent a wrist of the human arm when the sleeve is worn on the human arm and a proximal end opposite from the distal end. The electrodes are secured with the sleeve and positioned to contact skin of the human arm when the sleeve is worn on the human arm. The sleeve may include an inner sleeve contact with the skin and an outer sleeve disposed over the inner sleeve. The inner sleeve has openings in which the electrodes are disposed.

A holder apparatus of a bio-signal device comprises a holder, which comprises a pocket for a bio-signal processing device, an extension with a hollow, the hollow and the pocket forming a continuous cavity through the holder, a connector, and an elastic seal with a hole. A shape of the elastic seal is matched with a shape of the hollow of the extension at an interface of the pocket, and the hollow and a shape of the hole is matched with a shape of the connector for sealing an interface between the connector and the holder while the connector and the elastic seal are within the hollow and the connector is in contact with the elastic seal. Sealant filler fills the hollow of the extension and is in physical contact with the connector, which is in the hollow against the seal, the elastic seal and the sealant filler allowing the connector to mate electrically with a counter-connector moved within the cavity in a direction from the pocket toward the hollow.

An implantable human-machine interfacing system is disclosed that includes an implantable muscle interface device including a substrate including a first plurality of sensors and a second plurality of amplifiers that capture and amplify, respectively, electromyographic (EMG) signals arising from motor units under control of neural signals representative of volitional limb movements; and a transceiver device connected to the first plurality of sensors that wirelessly transmits signals to an external decoder that produces decoded signals that discriminate motor signals representative of movements of the motor units, wherein the substrate at least partially surrounds a muscle from which the EMG signals arise; and a receiver device that uses the decoded signals for interaction with an external system. The system includes a first plurality of electrodes and a second implantable power source that imparts electrical stimulation to the underlying tissues and sensory axons within for the purposes of sensory feedback and neuromodulation.

An implantable human-machine interfacing system is disclosed that includes an implantable muscle interface device including a substrate including a first plurality of sensors and a second plurality of amplifiers that capture and amplify, respectively, electromyographic (EMG) signals arising from motor units under control of neural signals representative of volitional limb movements; and a transceiver device connected to the first plurality of sensors that wirelessly transmits signals to an external decoder that produces decoded signals that discriminate motor signals representative of movements of the motor units, wherein the substrate at least partially surrounds a muscle from which the EMG signals arise; and a receiver device that uses the decoded signals for interaction with an external system. The system includes a first plurality of electrodes and a second implantable power source that imparts electrical stimulation to the underlying tissues and sensory axons within for the purposes of sensory feedback and neuromodulation.

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.