A prosthetic device control apparatus includes at least one sensor worn by a user. The sensor(s) determines a user's movement. A control module is in communication with the sensor(s). The control module communicates movement information to a prosthetic. A method for controlling a prosthetic device includes sensing a user's movement, communicating the movement through a control module to a prosthetic device; and controlling the movement of a prosthetic device.

When operating a brain stimulation device, it is critical to understand and control the network effects associated with the area being targeted for stimulation. The combined system and methods provided herein provides the operator with a real-time view of the brain network potentially affected by the stimulation. The system and method are capable of increasing the accuracy of diagnostic information. Additionally, disclosed herein are a system and method for combining navigated brain stimulation data and anatomical data with brain connectivity data for an individual.

An intraoperative neuromonitoring system for evaluating nerve function via a plurality of neural monitoring modalities includes an invasive medical instrument, a plurality of stimulating electrodes, a plurality of peripheral sensors, a patient module, and a control unit in communication with the patient module. The control unit is configured to maintain a range of acceptable values for each of a plurality of different neural monitoring modalities, determine, for each of the plurality of different neural monitoring modalities, whether the respective modality is within the range of acceptable values for that respective modality based on the indication of neuromuscular activity from one or more of the plurality of peripheral sensors, and provide an indication on a common screen displayed via the display, whether each respective neural monitoring modality is inside or outside of the range of acceptable values for that modality.

An intraoperative neuromonitoring system for evaluating nerve function via a plurality of neural monitoring modalities includes an invasive medical instrument, a plurality of stimulating electrodes, a plurality of peripheral sensors, a patient module, and a control unit in communication with the patient module. The control unit is configured to maintain a range of acceptable values for each of a plurality of different neural monitoring modalities, determine, for each of the plurality of different neural monitoring modalities, whether the respective modality is within the range of acceptable values for that respective modality based on the indication of neuromuscular activity from one or more of the plurality of peripheral sensors, and provide an indication on a common screen displayed via the display, whether each respective neural monitoring modality is inside or outside of the range of acceptable values for that modality.

Device and method for determining an efficacy of chronic pain treatment including providing a first set of at least one stimulus to a subject, obtaining first measurements of at least two physiological parameters in response to the first set of at least one stimulus, providing chronic pain treatment to the subject, providing a second set of at least one stimulus to the subject, obtaining second measurements of the at least two physiological parameters in response to the second set of at least one stimulus; and determining an efficacy of the chronic pain treatment by applying a classification algorithm on the first and second measurements of the at least two physiological parameters.

A method is provided for processing a neural measurement obtained in the presence of noise, in order to detect whether a locally evoked neural response is present in the neural measurement. A first neural measurement is obtained from a first sense electrode. A second neural measurement is contemporaneously obtained from a second sense electrode spaced apart from the first electrode along a neural pathway of the neural response. A neural response decay is determined, being a measure of the decay in the neural response from the first sense electrode to the second sense electrode. A ratio of the neural response decay to an amplitude normalising term is calculated. From the ratio it is determined whether a locally evoked neural response is present in the neural measurement.

A system and method is used to monitor, control, and/or provide feedback relative to one or more factors related to a patient's body, such as a shoulder, pursuant to a treatment process. The system monitors, controls, and/or provides feedback relative to shoulder factors including shoulder motion, shoulder muscle contraction, and external pressure on the shoulder.

A system and method is used to monitor, control, and/or provide feedback relative to one or more factors related to a patient's body, such as a shoulder, pursuant to a treatment process. The system monitors, controls, and/or provides feedback relative to shoulder factors including shoulder motion, shoulder muscle contraction, and external pressure on the shoulder.

Closed-loop transcranial stimulation and monitoring is disclosed that includes generating a stimulation signal having a set of first oscillation parameters; applying the stimulation signal transcranially to a patient; monitoring the stimulation signal as applied to the patient; receiving a brain activity signal from the patient; generating a feedback signal based on the monitored stimulation signal as applied to the patient; and generating a modified activity signal by subtracting the feedback signal from the brain activity signal; determining one or more second oscillation parameters of the modified activity signal; and adjusting the set of first oscillation parameters of the stimulation signal based on the one or more second oscillation parameters of the modified activity signal. Closed-loop transcranial stimulation and monitoring is also disclosed in which the patient is engaged in a cognitive task.

Methods and systems for bedsore prevention. In accordance with various embodiments, methods and systems use information available from ECG and/or EMG sensor devices to determine whether a patient has performed a qualified movement within a predetermined time period. Upon determining a patient has not performed a qualified movement within the predetermined time period, a notification to that effect may be communicated to a clinical team member.