Patents by Inventor Jacob Nieveen

Jacob Nieveen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Signal processing for decoding intended movements from electromyographic signals
    Patent number: 11596346
    Abstract: A technology is described for determining an intended movement from neuromuscular signals. An example method (800) includes receiving electromyography (EMG) data corresponding to single-ended channels of an electrode array (810), where 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 (820) and extracting feature data from the EMG data of the differential channel pairs (830). Thereafter a feature data set is selected from the feature data of the differential channel pairs (840) and the feature data set is input to a decode model configured to correlate the feature data set to an intended movement (850). Decode output is received from the decode model indicating the intended movement (860) and the decode output is provided to a device (870).
    Type: Grant
    Filed: August 1, 2017
    Date of Patent: March 7, 2023
    Assignee: University of Utah Research Foundation
    Inventors: Suzanne Wendelken, Tyler Davis, David Page, David Kluger, David Warren, Gregory Clark, Christopher Duncan, Jacob Nieveen
  • SIGNAL PROCESSING FOR DECODING INTENDED MOVEMENTS FROM ELECTROMYOGRAPHIC SIGNALS
    Publication number: 20220022801
    Abstract: A technology is described for determining an intended movement from neuromuscular signals. An example method (800) includes receiving electromyography (EMG) data corresponding to single-ended channels of an electrode array (810), where 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 (820) and extracting feature data from the EMG data of the differential channel pairs (830). Thereafter a feature data set is selected from the feature data of the differential channel pairs (840) and the feature data set is input to a decode model configured to correlate the feature data set to an intended movement (850). Decode output is received from the decode model indicating the intended movement (860) and the decode output is provided to a device (870).
    Type: Application
    Filed: August 1, 2017
    Publication date: January 27, 2022
    Inventors: Suzanne Wendelken, Tyler Davis, David Page, David Kluger, David Warren, Gregory Clark, Christopher Duncan, Jacob Nieveen