A method of treating spasticity uses a garment worn on a target anatomy so as to arrange electrodes on an inner surface of the garment contacting the skin of the target anatomy. Using an electronic processor, a spasticity treatment cycle is performed. The spasticity treatment cycle is initiated by providing a human-perceptible prompt to initiate a spastic event, or by triggering the spastic event by applying electrical stimulation to at least a portion of the target anatomy using the electrodes. Thereafter, electromyography (EMG) signals are measured from the target anatomy using the electrodes. One or more spasm regions in the target anatomy are identified based on the EMG signals. Targeted treatment of the one or more spasm regions is performed using neuromuscular electrical stimulation (NMES), or is directed to be performed by displaying a representation of the target anatomy with the one or more spasm regions indicated on the representation.

A method of treating spasticity uses a garment worn on a target anatomy so as to arrange electrodes on an inner surface of the garment contacting the skin of the target anatomy. Using an electronic processor, a spasticity treatment cycle is performed. The spasticity treatment cycle is initiated by providing a human-perceptible prompt to initiate a spastic event, or by triggering the spastic event by applying electrical stimulation to at least a portion of the target anatomy using the electrodes. Thereafter, electromyography (EMG) signals are measured from the target anatomy using the electrodes. One or more spasm regions in the target anatomy are identified based on the EMG signals. Targeted treatment of the one or more spasm regions is performed using neuromuscular electrical stimulation (NMES), or is directed to be performed by displaying a representation of the target anatomy with the one or more spasm regions indicated on the representation.

In rehabilitation, a stimulation pattern when applied to a body part by a neuromuscular electrical stimulation (NMES) device is effective to cause the body part to perform an intended action. The applying includes increasing a stimulation level at which the stimulation pattern is applied over time and, during the applying, acquiring video of the body part. The body part is monitored during the applying by analysis of the video, and the applying is automatically stopped in response to the monitoring indicating the body part has performed the intended action. The stimulation pattern may be defined as one or more subsets of electrodes of the NMES device and an electrode group stimulation level for each respective subset of electrodes, and the increasing of the stimulation level comprises increasing a scaling factor applied to the electrode group stimulation levels over time.

Described herein are methods, devices and systems for efficiently storing data for sensed biological signals. A sensed biological signal, or an amplitude and/or filtered version thereof, is provided to an N-bit ADC of an IMD to produce an N-bit data value indicative of an amplitude of the biological signal at a point in time. One of a plurality of chords of a compression curve is selected, based on a magnitude of the N-bit data value, and used to produce an M-bit data value, which is a compressed version of the N-bit data value, wherein M<N. The M-bit data value is stored as an M-bit data slice within memory of the IMD, and can be expanded to a reproduced N-bit data value after being uploaded to a non-implanted device or system.

A therapeutic or diagnostic device comprises a wearable electrodes garment including electrodes disposed to contact skin when the wearable electrodes garment is worn, and an electronic controller operatively connected with the electrodes. The electronic controller is programmed to perform a method including: receiving surface electromyography (EMG) signals via the electrodes and extracting one or more motor unit (MU) action potentials from the surface EMG signals. The method may further include identifying an intended movement based at least on features representing the one or more extracted MU action potentials and delivering functional electrical stimulation (FES) effective to implement the intended movement via the electrodes of the wearable electrodes garment. The method may further include generating a patient performance report based at least on a comparison of features representing the one or more extracted MU action potentials and features representing expected and/or baseline MU action potentials for a known intended movement.

A therapeutic or diagnostic device comprises a wearable electrodes garment including electrodes disposed to contact skin when the wearable electrodes garment is worn, and an electronic controller operatively connected with the electrodes. The electronic controller is programmed to perform a method including: receiving surface electromyography (EMG) signals via the electrodes and extracting one or more motor unit (MU) action potentials from the surface EMG signals. The method may further include identifying an intended movement based at least on features representing the one or more extracted MU action potentials and delivering functional electrical stimulation (FES) effective to implement the intended movement via the electrodes of the wearable electrodes garment. The method may further include generating a patient performance report based at least on a comparison of features representing the one or more extracted MU action potentials and features representing expected and/or baseline MU action potentials for a known intended movement.

A tremor-reduction system is provided that delivers electric current to a body region of a subject that is associated with a tremor. A computing device stores received data associated with a tremulous movement of the body region and determines measurements associated with the stored data. If a magnitude of the most recent tremulous movement is the same as or greater than magnitudes associated with prior tremulous movements, characteristics of a subsequent electric current to be applied to the body region may be adjusted.

A kinemyography sensor includes a support frame and a flexible substrate, wherein at least a portion of the flexible substrate is attached to the support frame. The support frame is configured to attach to a patient's thumb and forefinger and has a bendable middle section configured to bend in response to movement of the patient's thumb. A printed stimulation circuit is printed on the substrate and includes a pair of stimulation electrodes configured to adhere to a patient's skin to deliver a kinemyography stimulus, and a printed bend sensor is printed on the substrate and located on the bendable middle section of the support frame, wherein the printed bend sensor is configured to sense the bending of the support frame.

A kinemyography sensor includes a support frame and a flexible substrate, wherein at least a portion of the flexible substrate is attached to the support frame. The support frame is configured to attach to a patient's thumb and forefinger and has a bendable middle section configured to bend in response to movement of the patient's thumb. A printed stimulation circuit is printed on the substrate and includes a pair of stimulation electrodes configured to adhere to a patient's skin to deliver a kinemyography stimulus, and a printed bend sensor is printed on the substrate and located on the bendable middle section of the support frame, wherein the printed bend sensor is configured to sense the bending of the support frame.

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).