Literature DB >> 29432117

Closed-Loop Continuous Hand Control via Chronic Recording of Regenerative Peripheral Nerve Interfaces.

Philip P Vu, Zachary T Irwin, Autumn J Bullard, Shoshana W Ambani, Ian C Sando, Melanie G Urbanchek, Paul S Cederna, Cynthia A Chestek.   

Abstract

Loss of the upper limb imposes a devastating interruption to everyday life. Full restoration of natural arm control requires the ability to simultaneously control multiple degrees of freedom of the prosthetic arm and maintain that control over an extended period of time. Current clinically available myoelectric prostheses do not provide simultaneous control or consistency for transradial amputees. To address this issue, we have implemented a standard Kalman filter for continuous hand control using intramuscular electromyography (EMG) from both regenerative peripheral nerve interfaces (RPNI) and an intact muscle within non-human primates. Seven RPNIs and one intact muscle were implanted with indwelling bipolar intramuscular electrodes in two rhesus macaques. Following recuperations, function-specific EMG signals were recorded and then fed through the Kalman filter during a hand-movement behavioral task to continuously predict the monkey's finger position. We were able to reconstruct continuous finger movement offline with an average correlation of and a root mean squared error (RMSE) of 0.12 between actual and predicted position from two macaques. This finger movement prediction was also performed in real time to enable closed-loop neural control of a virtual hand. Compared with physical hand control, neural control performance was slightly slower but maintained an average target hit success rate of 96.70%. Recalibration longevity measurements maintained consistent average correlation over time but had a significant change in RMSE ( ). Additionally, extracted single units varied in amplitude by a factor of +18.65% and -25.85% compared with its mean. This is the first demonstration of chronic indwelling electrodes being used for continuous position control via the Kalman filter. Combining these analyses with our novel peripheral nerve interface, we believe that this demonstrates an important step in providing patients with more naturalistic control of their prosthetic limbs.

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Year:  2018        PMID: 29432117     DOI: 10.1109/TNSRE.2017.2772961

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  10 in total

1.  A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees.

Authors:  Philip P Vu; Alex K Vaskov; Zachary T Irwin; Phillip T Henning; Daniel R Lueders; Ann T Laidlaw; Alicia J Davis; Chrono S Nu; Deanna H Gates; R Brent Gillespie; Stephen W P Kemp; Theodore A Kung; Cynthia A Chestek; Paul S Cederna
Journal:  Sci Transl Med       Date:  2020-03-04       Impact factor: 17.956

Review 2.  The future of upper extremity rehabilitation robotics: research and practice.

Authors:  Philip P Vu; Cynthia A Chestek; Samuel R Nason; Theodore A Kung; Stephen W P Kemp; Paul S Cederna
Journal:  Muscle Nerve       Date:  2020-06       Impact factor: 3.217

Review 3.  Toward higher-performance bionic limbs for wider clinical use.

Authors:  Dario Farina; Ivan Vujaklija; Rickard Brånemark; Anthony M J Bull; Hans Dietl; Bernhard Graimann; Levi J Hargrove; Klaus-Peter Hoffmann; He Helen Huang; Thorvaldur Ingvarsson; Hilmar Bragi Janusson; Kristleifur Kristjánsson; Todd Kuiken; Silvestro Micera; Thomas Stieglitz; Agnes Sturma; Dustin Tyler; Richard F Ff Weir; Oskar C Aszmann
Journal:  Nat Biomed Eng       Date:  2021-05-31       Impact factor: 25.671

4.  Hard-wired Epimysial Recordings from Normal and Reinnervated Muscle Using a Bone-anchored Device.

Authors:  Henry T Lancashire; Yazan Al Ajam; Robert P Dowling; Catherine J Pendegrass; Gordon W Blunn
Journal:  Plast Reconstr Surg Glob Open       Date:  2019-09-23

5.  Classification of naturally evoked compound action potentials in peripheral nerve spatiotemporal recordings.

Authors:  Ryan G L Koh; Adrian I Nachman; José Zariffa
Journal:  Sci Rep       Date:  2019-07-31       Impact factor: 4.379

6.  Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison.

Authors:  Michael D Paskett; Mark R Brinton; Taylor C Hansen; Jacob A George; Tyler S Davis; Christopher C Duncan; Gregory A Clark
Journal:  J Neuroeng Rehabil       Date:  2021-02-25       Impact factor: 4.262

7.  Clinical Basis for Creating an Osseointegrated Neural Interface.

Authors:  Alison M Karczewski; Weifeng Zeng; Lindsay M Stratchko; Kent N Bachus; Samuel O Poore; Aaron M Dingle
Journal:  Front Neurosci       Date:  2022-04-12       Impact factor: 5.152

8.  Regenerative Peripheral Nerve Interfaces Effectively Prevent Neuroma Formation After Sciatic Nerve Transection in Rats.

Authors:  Jiaqing Wu; Yajun Zhang; Xiaoyuan Zhang; Zhiyu Lin; Guangxue Li
Journal:  Front Mol Neurosci       Date:  2022-07-07       Impact factor: 6.261

9.  Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals.

Authors:  Diu K Luu; Anh T Nguyen; Ming Jiang; Jian Xu; Markus W Drealan; Jonathan Cheng; Edward W Keefer; Qi Zhao; Zhi Yang
Journal:  Front Neurosci       Date:  2021-06-23       Impact factor: 4.677

Review 10.  Interfaces with the peripheral nervous system for the control of a neuroprosthetic limb: a review.

Authors:  Kadir A Yildiz; Alexander Y Shin; Kenton R Kaufman
Journal:  J Neuroeng Rehabil       Date:  2020-03-10       Impact factor: 4.262

  10 in total

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