Evidence map›Paper›PMID 36875964›Full record

ArticleBiomedical signal processing and control2023

Virtual regression-based myoelectric hand-wrist prosthesis control and electrode site selection using no force feedback.

Jianan Li, Ziling Zhu, William J Boyd, Carlos Martinez-Luna, Chenyun Dai, Haopeng Wang, He Wang, Xinming Huang, Todd R Farrell, Edward A Clancy

Open access · greenAbstract read
In one paragraph

Article in Biomedical signal processing and control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Jianan LiDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 U.S.A.
Ziling ZhuDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 U.S.A.
William J BoydDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 U.S.A.
Carlos Martinez-LunaLiberating Technologies, Inc., Holliston, MA 01746 U.S.A.
Chenyun DaiDepartment of Electrical Engineering, Fudan University, Shanghai 200433, China.
Haopeng WangDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 U.S.A.
He WangDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 U.S.A.
Xinming HuangDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 U.S.A.
Todd R FarrellLiberating Technologies, Inc., Holliston, MA 01746 U.S.A.
Edward A ClancyDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 U.S.A.
Worcester Polytechnic Institute · USLiberating Technologies (United States) · USFudan University · CN

Funding

Simultaneous, Proportional and Independent sEMG-Based Hand-Wrist Prosthesis ControlR42HD076519 · NICHD · LIBERATING TECHNOLOGIES, INC. · PI CLANCY, EDWARD A · 2016 to 2017
$1.4M
NICHD NIH HHS R42 HD076519
6 · The paper itself

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,

Indexed as

Electrode site selectionElectromyogramEMG signal processingMyoelectric control

Identifiers

PMID36875964
PMCPMC9979864
OpenAlexW4317748852

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.