AUT LibraryAUT
View Item 
  •   Open Research
  • AUT Faculties
  • Faculty of Health and Environmental Sciences
  • School of Clinical Sciences
  • View Item
  •   Open Research
  • AUT Faculties
  • Faculty of Health and Environmental Sciences
  • School of Clinical Sciences
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A Multiday Evaluation of Real-time Intramuscular EMG Usability With ANN

Waris, A; Zia ur Rehman, M; Niazi, IK; Jochumsen, M; Englehart, K; Jensen, W; Haavik, H; Kamavuako, EN
Thumbnail
View/Open
Journal article (2.117Mb)
Permanent link
http://hdl.handle.net/10292/13642
Metadata
Show full metadata
Abstract
Recent developments in implantable technology, such as high-density recordings, wireless transmission of signals to a prosthetic hand, may pave the way for intramuscular electromyography (iEMG)-based myoelectric control in the future. This study aimed to investigate the real-time control performance of iEMG over time. A novel protocol was developed to quantify the robustness of the real-time performance parameters. Intramuscular wires were used to record EMG signals, which were kept inside the muscles for five consecutive days. Tests were performed on multiple days using Fitts’ law. Throughput, completion rate, path efficiency and overshoot were evaluated as performance metrics using three train/test strategies. Each train/test scheme was categorized on the basis of data quantity and the time difference between training and testing data. An artificial neural network (ANN) classifier was trained and tested on (i) data from the same day (WDT), (ii) data collected from the previous day and tested on present-day (BDT) and (iii) trained on all previous days including the present day and tested on present-day (CDT). It was found that the completion rate (91.6 ± 3.6%) of CDT was significantly better (p < 0.01) than BDT (74.02 ± 5.8%) and WDT (88.16 ± 3.6%). For BDT, on average, the first session of each day was significantly better (p < 0.01) than the second and third sessions for completion rate (77.9 ± 14.0%) and path efficiency (88.9 ± 16.9%). Subjects demonstrated the ability to achieve targets successfully with wire electrodes. Results also suggest that time variations in the iEMG signal can be catered by concatenating the data over several days. This scheme can be helpful in attaining stable and robust performance.
Keywords
Intramuscular electromyography (iEMG); Prosthetic hand; Pattern recognition (PR)
Date
2020
Source
Sensors, 20(12), 3385. doi:10.3390/s20123385
Item Type
Journal Article
Publisher
MDPI AG
DOI
10.3390/s20123385
Publisher's Version
https://www.mdpi.com/1424-8220/20/12/3385
Rights Statement
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Contact Us
  • Admin

Hosted by Tuwhera, an initiative of the Auckland University of Technology Library

 

 

Browse

Open ResearchTitlesAuthorsDateSchool of Clinical SciencesTitlesAuthorsDate

Alternative metrics

 

Statistics

For this itemFor all Open Research

Share

 
Follow @AUT_SC

Contact Us
  • Admin

Hosted by Tuwhera, an initiative of the Auckland University of Technology Library