A system for determining a treatment regimen for chronic pelvic pain (CPP) includes an electromyography (EMG) probe including electrodes. Each electrode detects pelvic floor muscle activity. An EMG sensor array includes bipolar EMG sensors configured to detect muscle activity of muscles associated with or supporting the pelvic floor muscles. An EMG amplifier is in communication with the EMG probe or the EMG sensor array. The EMG amplifier includes a plurality of input channels. Each input channel receives data of muscle activity in the pelvic floor muscles or the muscles associated with or supporting the pelvic floor muscles from the EMG probe or the EMG sensor array. A processor of a computer performs muscle network analysis using the data of muscle activity in the pelvic floor muscles or the muscles associated with or supporting the pelvic floor muscles. A treatment regimen for CPP is recommended based on the muscle network analysis.

A system for determining a treatment regimen for chronic pelvic pain (CPP) includes an electromyography (EMG) probe including electrodes. Each electrode detects pelvic floor muscle activity. An EMG sensor array includes bipolar EMG sensors configured to detect muscle activity of muscles associated with or supporting the pelvic floor muscles. An EMG amplifier is in communication with the EMG probe or the EMG sensor array. The EMG amplifier includes a plurality of input channels. Each input channel receives data of muscle activity in the pelvic floor muscles or the muscles associated with or supporting the pelvic floor muscles from the EMG probe or the EMG sensor array. A processor of a computer performs muscle network analysis using the data of muscle activity in the pelvic floor muscles or the muscles associated with or supporting the pelvic floor muscles. A treatment regimen for CPP is recommended based on the muscle network analysis.

Systems and methods for the treatment of gastroesophageal reflux disease (GERD) include at least one electrically stimulating electrode coupled to a pulse generator. Individuals with GERD are treated by implanting a stimulation device within and/or proximate the patient's lower esophageal sphincter, gastric fundus, or other nearby gastrointestinal structures and applying electrical stimulation to the patient's lower esophageal sphincter and/or fundus, in accordance with certain predefined protocols. Electrical stimulation provided by the disclosed systems results in an increase in the length of the high pressure zone of the LES and/or modulation of the receptive relaxation response of the fundus to decrease gastric pressure, creating a longer barrier to the reflux of gastric contents or increasing functional lower esophageal pressure respectively, thereby treating GERD.

A mobility augmentation system assists a user's movement by determining a corresponding electrical stimulation for the movement. A wearable stimulation array includes sensors, electrodes, an electrode multiplexer, and a controller that executes the mobility augmentation system. The sensors measure movement data, and the mobility augmentation system applies a movement model to the measured movement data. The model can determine different electrical actuation instructions depending on the movement stimulated. For example, to stimulate a knee flexion, the movement model output enables a first set of the electrodes to operate as cathodes and a second set of electrodes to operate as anodes. To stimulate a knee extension, the first set of electrodes can be enabled to operate as anodes and a third set of electrodes as cathodes. The user can provide feedback of the applied stimulation, which the system can use to retrain the model and optimize the stimulation to the user.

A mobility augmentation system assists a user's movement by determining a corresponding electrical stimulation for the movement. A wearable stimulation array includes sensors, electrodes, an electrode multiplexer, and a controller that executes the mobility augmentation system. The sensors measure movement data, and the mobility augmentation system applies a movement model to the measured movement data. The model can determine different electrical actuation instructions depending on the movement stimulated. For example, to stimulate a knee flexion, the movement model output enables a first set of the electrodes to operate as cathodes and a second set of electrodes to operate as anodes. To stimulate a knee extension, the first set of electrodes can be enabled to operate as anodes and a third set of electrodes as cathodes. The user can provide feedback of the applied stimulation, which the system can use to retrain the model and optimize the stimulation to the user.

The disclosed biopotential measurement device may include a front end comprising a biopotential measurement sensor and a back end comprising a processor programmed to process biopotential signals detected by the biopotential measurement sensor. The biopotential measurement device may also include an isolation circuit that, during at least a sampling phase of the biopotential measurement sensor, electrically isolates the front end from the back end. Various other methods, systems, and computer-readable media are also disclosed.

The disclosed biopotential measurement device may include a front end comprising a biopotential measurement sensor and a back end comprising a processor programmed to process biopotential signals detected by the biopotential measurement sensor. The biopotential measurement device may also include an isolation circuit that, during at least a sampling phase of the biopotential measurement sensor, electrically isolates the front end from the back end. Various other methods, systems, and computer-readable media are also disclosed.

The method can include a muscle deforming a fiber path and activating a joint of the mammal, circulating electricity along the fiber, along the length of the fiber path, generating a movement signal including monitoring a change of impedance of the fiber stemming from the deformation of the muscle path during said deformation of the fiber path, determining a coefficient of correlation value of successive portions of the movement signal associated to corresponding, successive, time windows, including ascertaining a degree of similitude between the corresponding portion and a corresponding movement template, and generating an indication of muscle fatigue based on said coefficient of correlation values.

System for detecting intention of movements by a subject comprises sensors and a computing device. The sensors are configured to be engaged to the subject. The sensors measure electromyogram signals from the subject. The computing device receives the electromyogram signals from the sensors. Features are extracted using electromyogram signals from one or more of the sensors. One or more of the extracted features are compared with their respective threshold corresponding to a first movement among the movements. Intention of making the first movement is registered, prior to the onset of the first movement, based on the comparison.

The embodiments of the present disclosure provides a device for determining muscle state based on electromyography signal and muscle oxygen saturation. The devices includes: a signal collection module, configured for collecting a human electromyography signal data; a light source detection module, configured for emitting light with different wavelengths; a photosensitive receiver module, configured for receiving light reflected by skin after the light emitted by the light source detection module irradiates the skin; a blood oxygen calculation module, configured for calculating the muscle oxygen saturation based on the light received by the photosensitive receiver module; and a data statistics module, configured for determining the muscle state based on the human electromyography signal data and the muscle oxygen saturation. In this way, an accurate detection of muscle state is realized.