The present disclosure provides systems and methods relating to neuromodulation. In particular, the present disclosure provides systems and methods for selective and/or unidirectional nerve fiber conduction block though the application of a hybrid waveform using a neuromodulation device. The systems and methods of neuromodulation disclosed herein facilitate the treatment of various diseases associated with pathological neural activity.

The present disclosure provides systems and methods relating to neuromodulation. In particular, the present disclosure provides systems and methods for selective and/or unidirectional nerve fiber conduction block though the application of a hybrid waveform using a neuromodulation device. The systems and methods of neuromodulation disclosed herein facilitate the treatment of various diseases associated with pathological neural activity.

A device (1) for measuring congestion of the digestive tract comprises at least one housing (2), a current generator (30) and a means (31) for measuring a difference in potential, said generator and means being accommodated in said housing, and a set of electrodes (3) comprising at least two electrodes connected electrically, independently of one another, to the current generator (30) and/or to the means (31) for measuring a difference in potential across the terminals of the electrodes, each electrode of the set (3) of electrodes being configured to transmit an electric current and/or to allow a difference in electrical potential to be measured.

The set (3) of electrodes is configured to generate at least one electric current flow loop (13) flowing at least through a tissue of the gastrointestinal tract (14) of the user and to allow a difference in electrical potential in relation to the tissue of the gastrointestinal tract to be measured, the device (1) for measuring the bio-impedance of the digestive tract further comprising a calculating module (5) configured to receive the measured difference in electrical potential and to calculate a value of the bio-impedance of the digestive tract according to this measurement in relation to the tissue of the digestive tract.

A device (1) for measuring congestion of the digestive tract comprises at least one housing (2), a current generator (30) and a means (31) for measuring a difference in potential, said generator and means being accommodated in said housing, and a set of electrodes (3) comprising at least two electrodes connected electrically, independently of one another, to the current generator (30) and/or to the means (31) for measuring a difference in potential across the terminals of the electrodes, each electrode of the set (3) of electrodes being configured to transmit an electric current and/or to allow a difference in electrical potential to be measured.

The set (3) of electrodes is configured to generate at least one electric current flow loop (13) flowing at least through a tissue of the gastrointestinal tract (14) of the user and to allow a difference in electrical potential in relation to the tissue of the gastrointestinal tract to be measured, the device (1) for measuring the bio-impedance of the digestive tract further comprising a calculating module (5) configured to receive the measured difference in electrical potential and to calculate a value of the bio-impedance of the digestive tract according to this measurement in relation to the tissue of the digestive tract.

A system for deploying an electrode array at a target location through a hole formed in the patient's cranium. The system includes an array of electrodes attached to a substrate and an inserter attached to the substrate and/or the array of electrodes. The inserter, substrate and array of electrodes are configured into a first compressed state and are positioned within the lumen of a cannula. Using the cannula, the system is inserted through the hole, the cannula is then removed, and the inserter is used to transition the substrate and electrode array from the first compressed state to a second uncompressed state, thereby deploying the array of electrodes at the target location.

A system for deploying an electrode array at a target location through a hole formed in the patient's cranium. The system includes an array of electrodes attached to a substrate and an inserter attached to the substrate and/or the array of electrodes. The inserter, substrate and array of electrodes are configured into a first compressed state and are positioned within the lumen of a cannula. Using the cannula, the system is inserted through the hole, the cannula is then removed, and the inserter is used to transition the substrate and electrode array from the first compressed state to a second uncompressed state, thereby deploying the array of electrodes at the target location.

Disclosed in various embodiments of the present invention are a method and a device comprising: a first electrode, a second electrode and a third electrode which make contact with the body of a user; an instrumentation amplifier for differentially amplifying signals received from the first electrode and the second electrode; a feedback amplifier for feeding back feedback noise to the body of the user through the third electrode; and a control circuit, wherein the control circuit is configured to analyze a noise level by using a biosignal obtained from the instrumentation amplifier, and control the gain of the feedback amplifier on the basis of the result of the analysis. Various embodiments are possible.

Disclosed in various embodiments of the present invention are a method and a device comprising: a first electrode, a second electrode and a third electrode which make contact with the body of a user; an instrumentation amplifier for differentially amplifying signals received from the first electrode and the second electrode; a feedback amplifier for feeding back feedback noise to the body of the user through the third electrode; and a control circuit, wherein the control circuit is configured to analyze a noise level by using a biosignal obtained from the instrumentation amplifier, and control the gain of the feedback amplifier on the basis of the result of the analysis. Various embodiments are possible.

The present invention relates to a method for calibrating on-line a direct neural interface implementing a REW-NPLS regression between an output calibration tensor and an input calibration tensor. The REW-NPLS regression comprises a PARAFAC iterative decomposition of the cross covariance tensor between the input calibration tensor and the output calibration tensor, each PARAFAC iteration comprising a sequence of M elementary steps (240.sub.1, 240.sub.1, . . . 240.sub.M) of minimisation of a metric according to the alternating least squares method, each elementary minimisation step relating to a projector and considering the others as constant, said metric comprising a penalisation term that is a function of the norm of this projector, the elements of this projector not being subjected to a penalisation during a PARAFAC iteration f not being penalisable during following PARAFAC iterations. Said calibration method makes it possible to obtain a predictive model of which the non-zero coefficients are sparse blockwise.

The present invention relates to a method for calibrating on-line a direct neural interface implementing a REW-NPLS regression between an output calibration tensor and an input calibration tensor. The REW-NPLS regression comprises a PARAFAC iterative decomposition of the cross covariance tensor between the input calibration tensor and the output calibration tensor, each PARAFAC iteration comprising a sequence of M elementary steps (240.sub.1, 240.sub.1, . . . 240.sub.M) of minimisation of a metric according to the alternating least squares method, each elementary minimisation step relating to a projector and considering the others as constant, said metric comprising a penalisation term that is a function of the norm of this projector, the elements of this projector not being subjected to a penalisation during a PARAFAC iteration f not being penalisable during following PARAFAC iterations. Said calibration method makes it possible to obtain a predictive model of which the non-zero coefficients are sparse blockwise.