ArmSleeve: A patient monitoring system to support occupational therapists in stroke rehabilitation

Ploderer, Bernd, Fong, Justin, Withana, Anusha, Klaic, Marlena, Nair, Siddharth, Crocher, Vincent, Vetere, Frank, & Nanayakkara, Suranga (2016) ArmSleeve: A patient monitoring system to support occupational therapists in stroke rehabilitation. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems, ACM, Brisbane, QLD, pp. 700-711.

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Abstract

This paper describes the design of "ArmSleeve", a patient monitoring system to support occupational therapists in their upper limb rehabilitation work with stroke patients. Occupational therapists can provide rehabilitation in clinics, but they have limited insights into how much their patients use their affected arm and hand in daily life, which is critical for effective recovery to occur. Our work addresses this problem through three interrelated studies: (1) interviews with therapists to examine their current rehabilitation practices; (2) the design of the "ArmSleeve Sensor" to monitor a patient's upper limb movement; and (3) the design and evaluation of the "ArmSleeve Dashboard" to visualize this information for therapists. The findings show the importance of collecting objective data to assess exercise and activities outside therapy, but also a lack of contextual information to interpret this data. We discuss considerations for how to address this issue through patient engagement as well as considerations for designing wearable sensor technology that is usable in everyday life.

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ID Code: 95993
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: dashboard, information visualization, occupational therapy, stroke rehabilitation, wearable technology
DOI: 10.1145/2901790.2901799
ISBN: 9781450340311
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Computer-Human Interaction (080602)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright is held by the owner/author(s). Publication rights licensed to ACM.
Deposited On: 07 Jun 2016 22:51
Last Modified: 09 Jun 2016 15:45

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