Literature DB >> 33501323

Portable Take-Home System Enables Proportional Control and High-Resolution Data Logging With a Multi-Degree-of-Freedom Bionic Arm.

Mark R Brinton1, Elliott Barcikowski2, Tyler Davis3, Michael Paskett1, Jacob A George1, Gregory A Clark1.   

Abstract

This paper describes a portable, prosthetic control system and the first at-home use of a multi-degree-of-freedom, proportionally controlled bionic arm. The system uses a modified Kalman filter to provide 6 degree-of-freedom, real-time, proportional control. We describe (a) how the system trains motor control algorithms for use with an advanced bionic arm, and (b) the system's ability to record an unprecedented and comprehensive dataset of EMG, hand positions and force sensor values. Intact participants and a transradial amputee used the system to perform activities-of-daily-living, including bi-manual tasks, in the lab and at home. This technology enables at-home dexterous bionic arm use, and provides a high-temporal resolution description of daily use-essential information to determine clinical relevance and improve future research for advanced bionic arms.
Copyright © 2020 Brinton, Barcikowski, Davis, Paskett, George and Clark.

Entities:  

Keywords:  Kalman filter; bionic arm; myoelectric prostheses; proportional control; take-home

Year:  2020        PMID: 33501323      PMCID: PMC7805650          DOI: 10.3389/frobt.2020.559034

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  26 in total

1.  Efficient decoding with steady-state Kalman filter in neural interface systems.

Authors:  Wasim Q Malik; Wilson Truccolo; Emery N Brown; Leigh R Hochberg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-11-15       Impact factor: 3.802

2.  Biomimetic sensory feedback through peripheral nerve stimulation improves dexterous use of a bionic hand.

Authors:  J A George; D T Kluger; T S Davis; S M Wendelken; E V Okorokova; Q He; C C Duncan; D T Hutchinson; Z C Thumser; D T Beckler; P D Marasco; S J Bensmaia; G A Clark
Journal:  Sci Robot       Date:  2019-07-24

3.  A Comparison of Pattern Recognition Control and Direct Control of a Multiple Degree-of-Freedom Transradial Prosthesis.

Authors:  Todd A Kuiken; Laura A Miller; Kristi Turner; Levi J Hargrove
Journal:  IEEE J Transl Eng Health Med       Date:  2016-11-22       Impact factor: 3.316

4.  EMG Pattern Recognition Control of the DEKA Arm: Impact on User Ratings of Satisfaction and Usability.

Authors:  Linda Resnik; Frantzy Acluche; Matt Borgia; Gail Latlief; Sam Phillips
Journal:  IEEE J Transl Eng Health Med       Date:  2018-12-24       Impact factor: 3.316

5.  An Alternative Myoelectric Pattern Recognition Approach for the Control of Hand Prostheses: A Case Study of Use in Daily Life by a Dysmelia Subject.

Authors:  Enzo Mastinu; Johan Ahlberg; Eva Lendaro; Liselotte Hermansson; Bo Hakansson; Max Ortiz-Catalan
Journal:  IEEE J Transl Eng Health Med       Date:  2018-03-12       Impact factor: 3.316

6.  Restoring motor control and sensory feedback in people with upper extremity amputations using arrays of 96 microelectrodes implanted in the median and ulnar nerves.

Authors:  T S Davis; H A C Wark; D T Hutchinson; D J Warren; K O'Neill; T Scheinblum; G A Clark; R A Normann; B Greger
Journal:  J Neural Eng       Date:  2016-03-22       Impact factor: 5.379

7.  Myoelectric Pattern Recognition Outperforms Direct Control for Transhumeral Amputees with Targeted Muscle Reinnervation: A Randomized Clinical Trial.

Authors:  Levi J Hargrove; Laura A Miller; Kristi Turner; Todd A Kuiken
Journal:  Sci Rep       Date:  2017-10-23       Impact factor: 4.379

8.  Home Use of a Neural-connected Sensory Prosthesis Provides the Functional and Psychosocial Experience of Having a Hand Again.

Authors:  Emily L Graczyk; Linda Resnik; Matthew A Schiefer; Melissa S Schmitt; Dustin J Tyler
Journal:  Sci Rep       Date:  2018-06-29       Impact factor: 4.379

9.  Motor Control and Sensory Feedback Enhance Prosthesis Embodiment and Reduce Phantom Pain After Long-Term Hand Amputation.

Authors:  David M Page; Jacob A George; David T Kluger; Christopher Duncan; Suzanne Wendelken; Tyler Davis; Douglas T Hutchinson; Gregory A Clark
Journal:  Front Hum Neurosci       Date:  2018-09-21       Impact factor: 3.169

10.  EMG pattern recognition compared to foot control of the DEKA Arm.

Authors:  Linda J Resnik; Frantzy Acluche; Matthew Borgia; Jill Cancio; Gail Latlief; Samuel Phillips; Nicole Sasson
Journal:  PLoS One       Date:  2018-10-18       Impact factor: 3.240

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  6 in total

1.  Acquisition of Surface EMG Using Flexible and Low-Profile Electrodes for Lower Extremity Neuroprosthetic Control.

Authors:  Seong Ho Yeon; Tony Shu; Hyungeun Song; Tsung-Han Hsieh; Junqing Qiao; Emily A Rogers; Samantha Gutierrez-Arango; Erica Israel; Lisa E Freed; Hugh M Herr
Journal:  IEEE Trans Med Robot Bionics       Date:  2021-07-21

2.  Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use.

Authors:  Hancong Wu; Matthew Dyson; Kianoush Nazarpour
Journal:  Sensors (Basel)       Date:  2021-01-24       Impact factor: 3.576

3.  Robust Torque Predictions From Electromyography Across Multiple Levels of Active Exoskeleton Assistance Despite Non-linear Reorganization of Locomotor Output.

Authors:  Jacob A George; Andrew J Gunnell; Dante Archangeli; Grace Hunt; Marshall Ishmael; K Bo Foreman; Tommaso Lenzi
Journal:  Front Neurorobot       Date:  2021-11-03       Impact factor: 2.650

4.  Towards User-Centred Prosthetics Research Beyond the Laboratory.

Authors:  Hannah Jones; Lynda Webb; Matthew Dyson; Kianoush Nazarpour
Journal:  Front Neurosci       Date:  2022-04-14       Impact factor: 5.152

5.  Internet of Things for beyond-the-laboratory prosthetics research.

Authors:  Hancong Wu; Matthew Dyson; Kianoush Nazarpour
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-06-06       Impact factor: 4.019

6.  Co-creation and User Perspectives for Upper Limb Prosthetics.

Authors:  Hannah Jones; Sigrid Dupan; Matthew Dyson; Agamemnon Krasoulis; Laurence P J Kenney; Margaret Donovan-Hall; Kaveh Memarzadeh; Sarah Day; Maxford Coutinho; Kianoush Nazarpour
Journal:  Front Neurorobot       Date:  2021-07-09       Impact factor: 2.650

  6 in total

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