dc.contributor.author | External author(s) only | |
dc.date.accessioned | 2019-06-19T09:22:13Z | |
dc.date.available | 2019-06-19T09:22:13Z | |
dc.date.issued | 2019-06 | |
dc.identifier.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. | en |
dc.identifier.uri | https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/228 | |
dc.description | Copyright: Springer Nature Switzerland AG 2020 | en |
dc.description.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. | en |
dc.description.sponsorship | Supported by the NIHR.
This research was funded through the Adaptive Assistive Rehabilitative Technologies – Beyond the Clinic grant by the Engineering and Physical Sciences Research Council (EP/M025543/1). SJ is additionally supported by the Fulbright US-UK Commission. HD is supported by the Elizabeth Casson Trust and received support from the NIHR Oxford Health Biomedical Research Centre. Additional support provided by CONACYT (National Council of Science and Technology in Mexico). | en |
dc.description.uri | https://doi.org/10.1007/978-3-030-20473-0_2 | |
dc.language.iso | en | en |
dc.publisher | Springer | en |
dc.subject | Mobility | en |
dc.subject | Physical Disability | en |
dc.title | A Cross-Sectional Study Using Wireless Electrocardiogram to Investigate Physical Workload of Wheelchair Control in Real World Environments | en |
dc.type | Book chapter | en |
dc.type | Presentation | en |