Literature DB >> 31536008

A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees.

Michael D Paskett, Nathaniel R Olsen, Jacob A George, David T Kluger, Mark R Brinton, Tyler S Davis, Christopher C Duncan, Gregory A Clark.   

Abstract

Bypass sockets allow researchers to perform tests of prosthetic systems from the prosthetic user's perspective. We designed a modular upper-limb bypass socket with 3D-printed components that can be easily modified for use with a variety of terminal devices. Our bypass socket preserves access to forearm musculature and the hand, which are necessary for surface electromyography and to provide substituted sensory feedback. Our bypass socket allows a sufficient range of motion to complete tasks in the frontal working area, as measured on non-amputee participants. We examined the performance of non-amputee participants using the bypass socket on the original and modified Box and Block Tests. Participants moved 11.3 ± 2.7 and 11.7 ± 2.4 blocks in the original and modified Box and Block Tests (mean ± SD), respectively, within the range of reported scores using amputee participants. Range of motion for users wearing the bypass socket meets or exceeds most reported range of motion requirements for activities of daily living. The bypass socket was originally designed with a freely rotating wrist; we found that adding elastic resistance to user wrist rotation while wearing the bypass socket had no significant effect on motor decode performance. We have open-sourced the design files and an assembly manual for the bypass socket. We anticipate that the bypass socket will be a useful tool to evaluate and develop sensorized myoelectric prosthesis technology.

Entities:  

Year:  2019        PMID: 31536008     DOI: 10.1109/TNSRE.2019.2941109

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


  5 in total

1.  A Multi-User Transradial Functional-Test Socket for Validation of New Myoelectric Prosthetic Control Strategies.

Authors:  Taylor C Hansen; Abigail R Citterman; Eric S Stone; Troy N Tully; Christopher M Baschuk; Christopher C Duncan; Jacob A George
Journal:  Front Neurorobot       Date:  2022-06-17       Impact factor: 3.493

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

Authors:  Mark R Brinton; Elliott Barcikowski; Tyler Davis; Michael Paskett; Jacob A George; Gregory A Clark
Journal:  Front Robot AI       Date:  2020-09-25

3.  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

4.  Myoelectric prosthesis users and non-disabled individuals wearing a simulated prosthesis exhibit similar compensatory movement strategies.

Authors:  Heather E Williams; Craig S Chapman; Patrick M Pilarski; Albert H Vette; Jacqueline S Hebert
Journal:  J Neuroeng Rehabil       Date:  2021-05-01       Impact factor: 4.262

5.  A Mirror Bilateral Neuro-Rehabilitation Robot System with the sEMG-Based Real-Time Patient Active Participant Assessment.

Authors:  Ziyi Yang; Shuxiang Guo; Hideyuki Hirata; Masahiko Kawanishi
Journal:  Life (Basel)       Date:  2021-11-24
  5 in total

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