Virtual regression-based myoelectric hand-wrist prosthesis control and electrode site selection using no force feedback. (April 2023)
- Record Type:
- Journal Article
- Title:
- Virtual regression-based myoelectric hand-wrist prosthesis control and electrode site selection using no force feedback. (April 2023)
- Main Title:
- Virtual regression-based myoelectric hand-wrist prosthesis control and electrode site selection using no force feedback
- Authors:
- Li, Jianan
Zhu, Ziling
Boyd, William J.
Martinez-Luna, Carlos
Dai, Chenyun
Wang, Haopeng
Wang, He
Huang, Xinming
Farrell, Todd R.
Clancy, Edward A. - Abstract:
- Highlights: 1. Regression-based simultaneous, independent and proportional 2-DoF hand-wrist virtual myoelectric prosthesis control. 2. Automatic selectiion of best electrode sites based on backward stepwise selection. 3. Reduced calibration time with no force feedback needed.ss . Abstract: Most transradial prosthesis users with conventional "Sequential" myoelectric control have two electrode sites which control one degree of freedom (DoF) at a time. Rapid EMG co-activation toggles control between DoFs (e.g., hand and wrist), providing limited function. We implemented a regression-based EMG control method which achieved simultaneous and proportional control of two DoFs in a virtual task. We automated electrode site selection using a short-duration (90 s) calibration period, without force feedback. Backward stepwise selection located the best electrodes for either six or 12 electrodes (selected from a pool of 16). We additionally studied two, 2-DoF controllers: "Intuitive" control (hand open-close and wrist pronation-supination controlled virtual target size and rotation, respectively) and "Mapping" control (wrist flexion–extension and ulnar-radial deviation controlled virtual target left–right and up-down movement, respectively). In practice, a Mapping controller would be mapped to control prosthesis hand open-close and wrist pronation-supination. Eleven able-bodied subjects and 4 limb-absent subjects completed virtual target matching tasks (fixed target moves to a newHighlights: 1. Regression-based simultaneous, independent and proportional 2-DoF hand-wrist virtual myoelectric prosthesis control. 2. Automatic selectiion of best electrode sites based on backward stepwise selection. 3. Reduced calibration time with no force feedback needed.ss . Abstract: Most transradial prosthesis users with conventional "Sequential" myoelectric control have two electrode sites which control one degree of freedom (DoF) at a time. Rapid EMG co-activation toggles control between DoFs (e.g., hand and wrist), providing limited function. We implemented a regression-based EMG control method which achieved simultaneous and proportional control of two DoFs in a virtual task. We automated electrode site selection using a short-duration (90 s) calibration period, without force feedback. Backward stepwise selection located the best electrodes for either six or 12 electrodes (selected from a pool of 16). We additionally studied two, 2-DoF controllers: "Intuitive" control (hand open-close and wrist pronation-supination controlled virtual target size and rotation, respectively) and "Mapping" control (wrist flexion–extension and ulnar-radial deviation controlled virtual target left–right and up-down movement, respectively). In practice, a Mapping controller would be mapped to control prosthesis hand open-close and wrist pronation-supination. Eleven able-bodied subjects and 4 limb-absent subjects completed virtual target matching tasks (fixed target moves to a new location after being "matched, " and subject immediately pursues) and fixed (static) target tasks. For all subjects, both 2-DoF controllers with 6 optimally-sited electrodes had statistically better target matching performance than Sequential control in number of matches (average of 4–7 vs 2 matches, p < 0.001) and throughput (average of 0.75–1.25 vs 0.4 bits/s, p < 0.001), but not overshoot rate and path efficiency. There were no statistical differences between 6 and 12 optimally-sited electrodes for both 2-DoF controllers. These results support the feasibility of 2-DoF simultaneous, proportional myoelectric control. … (more)
- Is Part Of:
- Biomedical signal processing and control. Volume 82(2023)
- Journal:
- Biomedical signal processing and control
- Issue:
- Volume 82(2023)
- Issue Display:
- Volume 82, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 82
- Issue:
- 2023
- Issue Sort Value:
- 2023-0082-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-04
- Subjects:
- EMG signal processing -- Electromyogram -- Myoelectric control -- Electrode site selection
Signal processing -- Periodicals
Biomedical engineering -- Periodicals
Signal Processing, Computer-Assisted -- Periodicals
Image Processing, Computer-Assisted -- Periodicals
Biomedical Engineering -- Periodicals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/17468094 ↗
http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2329675%232006%23999989998%23626449%23FLA%23&_cdi=29675&_pubType=J&_auth=y&_acct=C000045259&_version=1&_urlVersion=0&_userid=836873&md5=664b5cf9a57fc91971a17faf20c32ec1 ↗ - DOI:
- 10.1016/j.bspc.2023.104602 ↗
- Languages:
- English
- ISSNs:
- 1746-8094
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2087.880400
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