Please use this identifier to cite or link to this item: https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/228
Title: A Cross-Sectional Study Using Wireless Electrocardiogram to Investigate Physical Workload of Wheelchair Control in Real World Environments
Authors: External author(s) only
Keywords: Mobility
Physical Disability
Issue Date: Jun-2019
Publisher: Springer
Citation: Shawn Joshi, Roxana Ramirez Herrera, Daniella Nicole Springett, Benjamin David Weedon, Dafne Zuleima Morgado Ramirez, Catherine Holloway, Hasan Ayaz, Helen Dawes, 'A Cross-Sectional Study Using Wireless Electrocardiogram to Investigate Physical Workload of Wheelchair Control in Real World Environments' In: Ayaz H. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 953.
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.
Description: Copyright: Springer Nature Switzerland AG 2020
URI: https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/228
Appears in Collections:Assistive Devices

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