The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

A system, method, and apparatus for treating a medical condition by applying transcutaneous electrical stimulation to a target peripheral nerve of a subject. Electrical stimulation is applied to the peripheral nerve via a stimulation electrode pattern under closed-loop control in which EMG responses are monitored and used to adjust stimulation parameters. In response to detecting an unacceptable recording, electrical stimulation is applied to the peripheral nerve under open-loop control.

A system, method, and apparatus for treating a medical condition by applying transcutaneous electrical stimulation to a target peripheral nerve of a subject. Electrical stimulation is applied to the peripheral nerve via a stimulation electrode pattern under closed-loop control in which EMG responses are monitored and used to adjust stimulation parameters. In response to detecting an unacceptable recording, electrical stimulation is applied to the peripheral nerve under open-loop control.

A method may include identifying a simulated three-dimensional representation corresponding to an internal anatomy of a subject based on a match between a computed two-dimensional image corresponding to the simulated three-dimensional representation and a two-dimensional image depicting the internal anatomy of the subject. Simulations of the electrical activities measured by a recording device with standard lead placement and nonstandard lead placement may be computed based on the simulated three-dimensional representation. A clinical electrogram and/or a clinical vectorgram for the subject may be corrected based on a difference between the simulations of electrical activities to account for deviations arising from patient-specific lead placement as well as variations in subject anatomy and pathophysiology.

A system comprising a plurality of neuromuscular sensors, each of which is configured to record a time-series of neuromuscular signals from a surface of a user's body; and at least one computer hardware processor programmed to perform: applying a source separation technique to the time series of neuromuscular signals recorded by the plurality of neuromuscular sensors to obtain a plurality of neuromuscular source signals and corresponding mixing information; providing features, obtained from the plurality of neuromuscular source signals and/or the corresponding mixing information, as input to a trained statistical classifier and obtaining corresponding output; and identifying, based on the output of the trained statistical classifier, and for each of one or more of the plurality of neuromuscular source signals, an associated set of one or more biological structures.

A system comprising a plurality of neuromuscular sensors, each of which is configured to record a time-series of neuromuscular signals from a surface of a user's body; and at least one computer hardware processor programmed to perform: applying a source separation technique to the time series of neuromuscular signals recorded by the plurality of neuromuscular sensors to obtain a plurality of neuromuscular source signals and corresponding mixing information; providing features, obtained from the plurality of neuromuscular source signals and/or the corresponding mixing information, as input to a trained statistical classifier and obtaining corresponding output; and identifying, based on the output of the trained statistical classifier, and for each of one or more of the plurality of neuromuscular source signals, an associated set of one or more biological structures.

Disclosed is a system for assessing and monitoring muscle performance with self-adjusting feedback in order to evaluate progress in physiotherapy received by patients who have suffered muscle damage, the method including: A) at least one apparatus for acquiring muscle or biopotential signals; signal conditioning; processing, sending, receiving information; and self-adjusting feedback; B) at least one external computer and/or monitor or graphic interface for viewing external information; C) wherein the at least one apparatus for acquiring muscle or biopotential signals; signal conditioning; processing, sending, receiving information; and self-adjusting feedback and the at least one external computer and/or monitor or graphic interface for viewing external information are configured to carry out a method for measuring, extracting and processing parameters for assessing and monitoring muscle performance with self-adjusting feedback in order to evaluate progress in physiotherapy received by patients who have suffered muscle damage.

Disclosed is a system for assessing and monitoring muscle performance with self-adjusting feedback in order to evaluate progress in physiotherapy received by patients who have suffered muscle damage, the method including: A) at least one apparatus for acquiring muscle or biopotential signals; signal conditioning; processing, sending, receiving information; and self-adjusting feedback; B) at least one external computer and/or monitor or graphic interface for viewing external information; C) wherein the at least one apparatus for acquiring muscle or biopotential signals; signal conditioning; processing, sending, receiving information; and self-adjusting feedback and the at least one external computer and/or monitor or graphic interface for viewing external information are configured to carry out a method for measuring, extracting and processing parameters for assessing and monitoring muscle performance with self-adjusting feedback in order to evaluate progress in physiotherapy received by patients who have suffered muscle damage.

System and method for generating acupuncture points on reconstructed 3D human body mesh for physical treatment are disclosed. The computing device obtains a first two-dimensional image of a human subject that captures at least a predefined portion of the human subject; processes the first two-dimensional image of the first human subject using a trained human body recovery model to obtain a plurality of parameters representing a three-dimensional human body mesh with corresponding acupuncture points. The trained human body recovery model includes an iterative three-dimensional regression module that is supervised by a discriminator and that minimizes a combined loss below a preset threshold. The combined loss includes a discriminator error that provides a measure of whether the obtained three-dimensional human body mesh with corresponding acupuncture points correspond to real human shape, pose, and acupuncture points.

A reliable technology for determining the masticatory side of the user is provided. First and second electromyographic waveforms respectively originating from left and right muscles related to masticatory actions of a user are acquired; a coefficient of correlation between pieces of information respectively extracted from the first and the second electromyographic waveforms is calculated as a first feature value; a second feature value is calculated from a power spectrum obtained by performing frequency analysis on the first electromyographic waveform; a third feature value is calculated from a power spectrum obtained by performing frequency analysis on the second electromyographic waveform; a learning model is generated by associating the first, second, and third feature values with a plurality of labels; and the masticatory side of the user is determined based on first, second, and third feature values calculated from a newly acquired electromyographic waveform and the learning model.