Joshi, S;
Ramirez Herrera, R;
Springett, DN;
Weedon, BD;
Morgado Ramirez, DZ;
Holloway, C;
Ayaz, H;
(2019)
A cross-sectional study using wireless electrocardiogram to investigate physical workload of wheelchair control in real world environments.
In:
Advances in Intelligent Systems and Computing.
(pp. pp. 14-25).
Springer: Washington D.C., USA.
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Abstract
The wheelchair is a key invention that provides individuals with limitations in mobility increased independence and participation in society. However, wheelchair control is a complicated motor task that increases physical and mental workload. New wheelchair interfaces, including power-assisted devices can further enable users by reducing the required effort especially in more demanding environments. The protocol engaged novice wheelchair users to push a wheelchair with and without power assist in a simple and complex environment using wireless Electrocardiogram (ECG) to approximate heart rate (HR). Results indicated that HR determined from ECG data, decreased with use of the power-assist. The use of power-assist however did reduce behavioral performance, particularly within obstacles that required more control.
| Type: | Proceedings paper |
|---|---|
| Title: | A cross-sectional study using wireless electrocardiogram to investigate physical workload of wheelchair control in real world environments |
| Event: | AHFE 2019 International Conference on Neuroergonomics and Cognitive Engineering, and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology |
| ISBN-13: | 9783030204723 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-030-20473-0_2 |
| Publisher version: | https://doi.org/10.1007/978-3-030-20473-0_2 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Wheelchair · Power-Assist · Heart Rate · Wireless · Real-World ·Cognitive Workload · Disability |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10077968 |
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