Signal processing for decoding intended movements from electromyographic signals

A computer implemented method for determining an intended movement from neuromuscular signals, comprising:

• receiving electromyography (EMG) data corresponding to single-ended channels of an electrode array, wherein EMG signals are detected by electrodes comprising the single-ended channels of the electrode array and the EMG signals are converted to the EMG data;
• determining differential channel pairs for the single-ended channels of the electrode array by computing a number of possible different channel pairs for an n number of the single-ended channels using a matrix multiplication method or by looping through possible pairs and calculating a difference;
• extracting feature data from the EMG data of the differential channel pairs;
• selecting a feature data set from the feature data of the differential channel pairs;
• inputting the feature data set to a decode model configured to correlate the feature data set to an intended movement;
• receiving decode output from the decode model indicating the intended movement;
• and
• providing the decode output to a device.

A non-transitory machine readable storage medium having instructions embodied thereon, the instructions when executed by a processor:

• receive electromyography (EMG) data corresponding to single-ended channels of an electrode array;
• determine differential channel pairs for the single-ended channels of the electrode array by computing a number of possible different channel pairs for an n number of the single-ended channels using a matrix multiplication method or by looping through each possible pair and calculating a difference;
• calculate EMG amplitudes for the differential channel pairs and the single-ended channels of the electrode array using the EMG data;
• select a feature data set from the EMG data of the differential channel pairs and the single-ended channels of the electrode array based in part on the EMG amplitudes;
• input the feature data set to a decode model configured to estimate an intended movement based on the feature data set;
• receive decode output from the decode model indicating the intended movement;
• and
• provide the decode output to a device.