Evidence map›Paper›PMID 41337421›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2025

Centimeter Differences in Wrist Electrode Placement Significantly Impact Myoelectric Performance.

Connor D Olsen, Samuel R Lewis, Joshua D Gubler, Mason K Coleman, Tyler S Davis, Jacob A George

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Connor D Olsen
Samuel R Lewis
Joshua D Gubler
Mason K Coleman
Tyler S Davis
Jacob A George

Funding

Patient-centered rehabilitation and dexterous assistive devices for stroke patients using bionic exoskeletons controlled by non-invasive electromyographyDP5OD029571 · OD · UNIVERSITY OF UTAH · PI GEORGE, JACOB ANTHONY · 2020 to 2024
$2.1M
NIH HHS DP5 OD029571
6 · The paper itself

Abstract

The long-term goal of this research is to establish electromyography (EMG) as an intuitive and dexterous control interface for human-computer interaction. EMG is an established technique for classifying hand gestures and motions, used often in prosthetics and orthotics. Recently, there has been a shift towards recording EMG at the wrist, instead of at the forearm, to yield a more socially acceptable form factor for consumer applications. EMG within the size of a watch or bracelet means fewer electrodes and more variable placement with respect to the underlying muscle anatomy. Here, we explore how differences in location along the wrist impact EMG quality and myoelectric control. We recorded EMG and compared myoelectric performance across three different regions of electrodes (distal, central, and proximal) using electrode arrays at both the wrist and the forearm. We found that a small 4.3 cm shift proximally on the wrist yields significant improvements in EMG information content and myoelectric performance. When trained on a k-Nearest Neighbors model, classification accuracy increased from 79.3% at the distal wrist region to 83.7% at the proximal wrist position. EMG from the proximal wrist region also had significantly more information content, as indicated by greater variance outside of the first principal component and by more frequently selected channels via a minimum-redundancy-maximum-relevance selection approach. These findings indicate that the spatial position of electrodes at the wrist has a noticeable impact on myoelectric control in a way not seen in traditional EMG recordings from the forearm. This can inform the design of future wrist-worn EMG devices, which in turn may lead to more robust control for partial hand prostheses, hand orthoses, and augmented/virtual reality.Clinical Relevance- A subtle change in the position of electromyographic electrodes on the wrist can yield significant improvements in the control of technology, like prostheses, exoskeletons, and virtual/augmented reality.

Indexed as

ElectromyographyWristAdultElectrodesFemaleForearmHumansMale

Identifiers

PMID41337421
PMCPMC12740639

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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.