Electromyography devices and methods with filtering of electromyography signals
OwnerNicholas J. Tacca, Eric C. Meyers +1inventors
InventorsNicholas J. Tacca, Eric C. Meyers, Ian W. Baumgart
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Abstract
An electromyography (EMG) measurement system includes a garment configured to be worn on an anatomical region, electrodes arranged on the garment to contact skin of the anatomical region when the garment is worn on the anatomical region, electronics connected with the electrodes to measure EMG data emanating from the anatomical region, and an electronic processor programmed to filter the EMG data to suppress or remove artifacts using filters computed using approximate joint diagonalization of covariance (AJDC) matrices or by transforming the EMG data to source signals using iteratively adjusted forward filters.
Claims20
An electromyography (EMG) measurement device comprising:
- a garment configured to be worn on an anatomical region of an associated wearer;
- a plurality of electrodes arranged on the garment to contact skin of the anatomical region when the garment is worn on the anatomical region of the associated wearer;
- electronics operatively connected with the plurality of electrodes and configured to measure EMG data emanating from the anatomical region;
- and
- an electronic processor programmed to filter the EMG data to suppress or remove artifacts using filters computed using approximate joint diagonalization of covariance (AJDC) matrices or by transforming the EMG data to source signals using iteratively adjusted forward filters.
An electromyography (EMG) measurement method comprising:
- measuring EMG data emanating from an anatomical region;
- and
- filtering the EMG data to suppress or remove artifacts using filters computed using approximate joint diagonalization of covariance (AJDC) matrices or by transforming the EMG data to source signals using iteratively adjusted forward filters.
An electronic processor programmed to perform motor unit action potential (MUAP) extraction on electromyography (EMG) data by operations including:
- transforming the EMG data to source signals using forward filters;
- computing power signals corresponding to the source signals by squaring the respective source signals;
- and
- identifying the MUAPs from the computed power signals using peak detection.
Dependencies are inferred from the claim text.