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Conference proceeding
A Cross-Sectional Study Using Wireless Electrocardiogram to Investigate Physical Workload of Wheelchair Control in Real World Environments
Advances in Neuroergonomics and Cognitive Engineering , v 953, pp 14-25
12 Jun 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- A Cross-Sectional Study Using Wireless Electrocardiogram to Investigate Physical Workload of Wheelchair Control in Real World Environments
- Creators
- Shawn Joshi (Corresponding Author) - Drexel UniversityRoxana Ramirez Herrera - University College LondonDaniella Nicole Springett - Oxford Brookes UniversityBenjamin David Weedon - Oxford Brookes UniversityDafne Zuleima Morgado Ramirez - University College LondonCatherine Holloway - University College LondonHasan Ayaz - Children's Hospital of PhiladelphiaHelen Dawes - Oxford Brookes University
- Contributors
- H Ayaz (Editor) - Children's Hospital of Philadelphia
- Publication Details
- Advances in Neuroergonomics and Cognitive Engineering , v 953, pp 14-25
- Conference
- AHFE 2019 International Conference on Neuroergonomics and Cognitive Engineering, and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology (Washington, District of Columbia, United States, 24 Jul 2019–28 Jul 2019)
- Series
- Advances in Intelligent Systems and Computing
- Publisher
- Springer Nature
- Number of pages
- 12
- Grant note
- Elizabeth Casson Trust EP/M025543/1 / Adaptive Assistive Rehabilitative Technologies - Beyond the Clinic grant by the Engineering and Physical Sciences Research Council CONACYT (National Council of Science and Technology in Mexico); Consejo Nacional de Ciencia y Tecnologia (CONACyT) Fulbright US-UK Commission NIHR Oxford health Biomedical Research Centre
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000502759200002
- Scopus ID
- 2-s2.0-85067645564
- Other Identifier
- 991019168380504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Neurosciences