Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

A method of alerting a user to an artificially induced neuromuscular response in a subject includes generating a mechanomyography (MMG) output signal corresponding to a mechanical motion of a muscle of a subject, applying a wavelet transform to the MMG output signal to determine a convolution coefficient for each of a plurality of daughter wavelets, summing the convolution coefficients determined across the plurality of daughter wavelets at each timestep across a plurality of timesteps to generate a net-convolution coefficient (NCC), identifying one or more peaks in the NCC via a peak finding algorithm, and alerting a user of an artificially induced neuromuscular response following the identification of one or more peaks in the NCC. Each daughter wavelet of the plurality of daughter wavelets is a time-scaled variant of a common mother wavelet, and the convolution coefficient is indicative of a similarity between the daughter wavelet and the MMG output signal.

A method of alerting a user to an artificially induced neuromuscular response in a subject includes generating a mechanomyography (MMG) output signal corresponding to a mechanical motion of a muscle of a subject, applying a wavelet transform to the MMG output signal to determine a convolution coefficient for each of a plurality of daughter wavelets, summing the convolution coefficients determined across the plurality of daughter wavelets at each timestep across a plurality of timesteps to generate a net-convolution coefficient (NCC), identifying one or more peaks in the NCC via a peak finding algorithm, and alerting a user of an artificially induced neuromuscular response following the identification of one or more peaks in the NCC. Each daughter wavelet of the plurality of daughter wavelets is a time-scaled variant of a common mother wavelet, and the convolution coefficient is indicative of a similarity between the daughter wavelet and the MMG output signal.

Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

A system for regeneration of at least one severed nerve conduit, configured for use in a living human or animal body. The at least one nerve conduit comprises at least one motor nerve conduction part and at least one sensory nerve conduction part. The system comprises: a motion device, configured for moving a body part of the human or animal body, for containing at least one skeletal muscle that is otherwise innervatable with the at least one severed nerve conduit, a signal generator, which generates a first electrical stimulation signal and a second electrical stimulation signal, including an evaluation and control, which controls the motion device and the signal generator to be coordinated with one another.

The present invention relates to systems and methods for planning and/or providing neuromodulation One example system includes a stimulation related basic data storage module for storing stimulation related basic data, a stimulation related response data storage module for storing the stimulation related response data, a transfer module configured such that the stimulation related basic data are linked with and/or translated into the response data and/or artificial response data created by the transfer module, wherein the data generated by the transfer module are transfer data, the transfer data comprising link data and/or translation data and/or artificial response data, mapping module configured and arranged such that based on the stimulation related basic data and stimulation related response data and the transfer data a digital characteristic map is generated, and an analysis module configured and arranged such that the digital characteristic map is analyzed automatically.

A urination disorder treatment device includes a pair of body-surface electrode pads to supply an electrical stimulation signal from a back of a sacral bone, a stimulation signal control output circuit from which the pair of body-surface electrode pads supply the stimulation signal, a first measurement portion to measure electrocardiographic data based on a signal of electrical activity of the heart of the person to be treated, and a control portion to control supply of the stimulation signal based on an electrocardiographic waveform measured by the first measurement portion. A heart rate of the person to be treated may be judged to be a normal value from the electrocardiographic data, the control portion may delay timing of an output pulse from the pair of body-surface electrode pads so as not to be synchronized with the atrial systole P or the ventricular systole R of the electrocardiographic waveform.

A stimulation electrode assembly configured to be positioned relative to a patient for an operative procedure is disclosed. An evoked stimulation response may be sensed by a sensor near a portion of a subject. The evoked response may be sensed by an electrode and determined with a monitoring system. The evoked response may additionally and/or alternatively be sensed with a motion sensor. A position sensor may be provided to measure or determine whether the sensor has moved during a procedure.