Embroidered archimedean spiral electrodes for contactless prosthetic control

Andrew Mangezi, Andre Rosendo, Matthew Jacob William Howard, Riaan Stopforth

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

8 Citations (Scopus)
361 Downloads (Pure)


With continuous advancements on active pros-
thetics the detection of the user’s intention becomes the new
technological bottleneck. While electromyography (EMG) is
widely used to detect individual muscular contributions, sweat
and relative sensor movements degrade the quality of the signal
over time. In this paper, we bypass the problems created
with the skin contact analyzing the muscular activation with
Archimedean Spiral (AS) electrodes. We compare traditional
EMG electrodes with AS electrodes, stacked up in textile em-
broidered layers to improve their functionality, and eventually
adding a layer of cloth/silicon between the electrodes and the
human skin to ascertain the feasibility of the method. We use
n=9 volunteers to perform a loaded wrist extension and record
signals from the extensor digitorum muscle group. We evaluate
the amplitude and noise from all results and conclude that the
AS electrode is capable of detecting muscular activation without
touching the skin. As part of a low-cost prosthetic initiative, this
EMG alternative can be potentially embedded to the prosthetic
socket to improve usage and reduce adaptation problems.
Original languageEnglish
Title of host publicationThe 15th IEEE Conference on Rehabilitation Robotics (ICORR 2017)
Place of PublicationLondon
Number of pages6
ISBN (Electronic)9781538622964
Publication statusPublished - 17 Jul 2017
Event15th IEEE International Conference on Rehabilitation Robotics - London, United Kingdom
Duration: 17 Jul 201720 Jul 2017


Conference15th IEEE International Conference on Rehabilitation Robotics
Country/TerritoryUnited Kingdom


Dive into the research topics of 'Embroidered archimedean spiral electrodes for contactless prosthetic control'. Together they form a unique fingerprint.

Cite this