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公开(公告)号:US11037670B2
公开(公告)日:2021-06-15
申请号:US17023577
申请日:2020-09-17
Applicant: Battelle Memorial Institute
Inventor: Samuel Colachis , Gaurav Sharma , Collin Dunlap
Abstract: An activity assistance system includes a video camera arranged to acquire video of a person performing an activity, an output device configured to output human-perceptible prompts, and an electronic processor programmed to execute an activity script. The script comprises a sequence of steps choreographing the activity. The execution of each step includes presenting a prompt via the output device and detecting an event or sequence of events subsequent to the presenting of the prompt. Each event is detected by performing object detection on the video to detect one or more objects depicted in the video and applying one or more object-oriented image analysis functions to detect a spatial or temporal arrangement of one or more of the detected objects. Each event detection triggers an action comprising at least one of presenting a prompt via the output device and and/or going to another step of the activity script.
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公开(公告)号:US20210082564A1
公开(公告)日:2021-03-18
申请号:US17023577
申请日:2020-09-17
Applicant: Battelle Memorial Institute
Inventor: Samuel Colachis , Gaurav Sharma , Collin Dunlap
Abstract: An activity assistance system includes a video camera arranged to acquire video of a person performing an activity, an output device configured to output human-perceptible prompts, and an electronic processor programmed to execute an activity script. The script comprises a sequence of steps choreographing the activity. The execution of each step includes presenting a prompt via the output device and detecting an event or sequence of events subsequent to the presenting of the prompt. Each event is detected by performing object detection on the video to detect one or more objects depicted in the video and applying one or more object-oriented image analysis functions to detect a spatial or temporal arrangement of one or more of the detected objects. Each event detection triggers an action comprising at least one of presenting a prompt via the output device and and/or going to another step of the activity script.
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公开(公告)号:US20210038887A1
公开(公告)日:2021-02-11
申请号:US17081450
申请日:2020-10-27
Applicant: Battelle Memorial Institute
Inventor: Chad E. Bouton , Nicholas Annetta , David A. Friedenberg , Gaurav Sharma
IPC: A61N1/36 , A61F2/72 , A61B5/00 , A61B5/0482 , A61G5/00 , A61B5/11 , A61N1/05 , A61H3/00 , A61F4/00 , A61B5/16
Abstract: The present disclosure relates generally to systems, methods, and devices for interpreting neural signals to determine a desired movement of a target, transmitting electrical signals to the target, and dynamically monitoring subsequent neural signals or movement of the target to change the signal being delivered if necessary, so that the desired movement is achieved. In particular, the neural signals are decoded using a feature extractor, decoder(s) and a body state observer to determine the electrical signals that should be sent.
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公开(公告)号:US20180154133A1
公开(公告)日:2018-06-07
申请号:US15872734
申请日:2018-01-16
Applicant: Battelle Memorial Institute
Inventor: Chad E. Bouton , Jeffrey Friend , Gaurav Sharma , Andrew Sweeney , Amy M. Heinz , Stephanie Kute , Nicholas Annetta , Thomas D. Haubert , Steven M. Risser , Alexander Morrow , Raymond Richard Zaborski , George Naegele Brand , Matthew Edward Mowrer
CPC classification number: A61N1/0484 , A61N1/0456 , A61N1/36003 , G06F3/015 , G06F3/017
Abstract: The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi-electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.
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公开(公告)号:US11911604B2
公开(公告)日:2024-02-27
申请号:US18130488
申请日:2023-04-04
Applicant: Battelle Memorial Institute
Inventor: Gaurav Sharma , Patrick Ganzer
CPC classification number: A61N1/0452 , A61N1/0456 , A61N1/0484 , A61N1/36031
Abstract: A garment is wearable on an anatomical region and includes electrodes contacting the anatomical region when the garment is worn on the anatomical region. An electronic controller is configured to detect electromyography (EMG) signals as a function of anatomical location and time using the electrodes, and identify tremors as a function of anatomical location and time based on the EMG signals.
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公开(公告)号:US20230147418A1
公开(公告)日:2023-05-11
申请号:US18096742
申请日:2023-01-13
Applicant: Battelle Memorial Institute
Inventor: Chad E. Bouton , Nicholas Annetta , David A. Friedenberg , Gaurav Sharma
IPC: A61N1/36 , A61B5/00 , A61B5/11 , A61N1/05 , A61B5/375 , A61F2/72 , A61F4/00 , A61G5/00 , A61H3/00
CPC classification number: A61N1/36003 , A61B5/7203 , A61B5/1124 , A61B5/4836 , A61N1/0551 , A61B5/375 , A61F2/72 , A61F4/00 , A61G5/00 , A61H3/00 , A61B5/686 , A61B2505/09 , A61B5/11 , A61B5/168
Abstract: The present disclosure relates generally to systems, methods, and devices for interpreting neural signals to determine a desired movement of a target, transmitting electrical signals to the target, and dynamically monitoring subsequent neural signals or movement of the target to change the signal being delivered if necessary, so that the desired movement is achieved. In particular, the neural signals are decoded using a feature extractor, decoder(s) and a body state observer to determine the electrical signals that should be sent.
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公开(公告)号:US20230020138A1
公开(公告)日:2023-01-19
申请号:US17945486
申请日:2022-09-15
Applicant: BATTELLE MEMORIAL INSTITUTE
Inventor: Chad E. Bouton , Gaurav Sharma , Andrew Sweeney , Amy M. Heintz , Stephanie Kute , Nicholas Annetta , Thomas D. Haubert , Steven M. Risser , Jeffrey Friend , John Bartholomew , Rachel Thurston , Alexander C. Morrow , George Brand , Jeffrey Ellis , Matthew Mowrer , Raymond Zaborski
Abstract: The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi-electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.
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公开(公告)号:US11224747B2
公开(公告)日:2022-01-18
申请号:US16708878
申请日:2019-12-10
Applicant: Battelle Memorial Institute
Inventor: Chad E. Bouton , Gaurav Sharma , Bradley C. Glenn
Abstract: The present disclosure relates generally to systems, methods, and devices for closed loop deep brain stimulation. In particular, a neural signal is measured and provided to software. The software includes a feature generator and a brain network model that takes the neural signal and estimates other neural signals that are not directly measured, and operates as a model of the brain. The software determines a stimulation signal to be sent to stimulating electrodes. Estimated signals by the brain network model are continuously compared to actual signals from the brain. The closed loop feedback system advantageously allows for electrical stimulation levels and patterns to be continuously updated while delivered to a patient.
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公开(公告)号:US20200276438A1
公开(公告)日:2020-09-03
申请号:US16877554
申请日:2020-05-19
Applicant: Battelle Memorial Institute
Inventor: Chad E. Bouton , Gaurav Sharma , Andrew Sweeney , Amy M. Heintz , Stephanie Kute , Nicholas Annetta , Thomas D. Haubert , Steven M. Risser , Jeffrey Friend , John Bartholomew , Rachel Thurston , C. Alexander Morrow , George Brand , Jeffrey Ellis , Matthew Mowrer , Raymond Zaborski
IPC: A61N1/05 , A61B5/0488 , A61N1/04 , A61B5/00 , A61B5/0478 , A61B5/0482 , A61B5/11
Abstract: The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi-electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.
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公开(公告)号:US10525267B2
公开(公告)日:2020-01-07
申请号:US15578783
申请日:2016-06-02
Applicant: Battelle Memorial Institute
Inventor: Chad E. Bouton , Gaurav Sharma , Bradley C. Glenn
IPC: A61B5/00 , A61N1/36 , A61B5/04 , A61B5/0478 , A61B5/048 , A61B5/0482 , A61N1/05
Abstract: The present disclosure relates generally to systems, methods, and devices for closed loop deep brain stimulation. In particular, a neural signal is measured and provided to software. The software includes a feature generator and a brain network model that takes the neural signal and estimates other neural signals that are not directly measured, and operates as a model of the brain. The software determines a stimulation signal to be sent to stimulating electrodes. Estimated signals by the brain network model are continuously compared to actual signals from the brain. The closed loop feedback system advantageously allows for electrical stimulation levels and patterns to be continuously updated while delivered to a patient.
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