Electrophysiologically-identified motor points of forearm muscles

Citation Author(s):
Narrendar
RaviChandran
The University of Auckland
Kean
Aw
The University of Auckland
Andrew
McDaid
The University of Auckland
Submitted by:
Narrendar RaviC...
Last updated:
Sun, 09/08/2019 - 02:11
DOI:
10.21227/fjgv-bf06
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Abstract 

Motor point identification is pivotal to elicit comfortable and sustained muscle contraction through functional electrical stimulation. To this purpose, anatomical charts and manual search techniques are used to extract subject-specific stimulation profile. Such information being heterogenous they lack standardization and reproducibility. To address these limitations; we aim to identify, localize, and characterize the motor points of forearm muscles across nine healthy subjects. This data was applied to improve stimulation mapping algorithms and the underlying testing time when deploying wearable neuroprostheses that aim to restore hand function tasks. The experimental procedures involved in extracting this data and its processing are reported here: https://doi.org/10.1109/TBME.2019.2907926

Instructions: 

Data on motor point locations and force exertions represent raw data and were not normalized against anthropometric measures and maximum voluntary contractions, respectively.