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Questioning classic patient classification techniques in gait rehabilitation: insights from wearable haptic technology

Georgiou, Theodoros; Holland, Simon; van der Linden, Janet and Donaldson, Glenis (2016). Questioning classic patient classification techniques in gait rehabilitation: insights from wearable haptic technology. In: EAI International Conference on Wearables in Healthcare, 14-15 June 2016, Budapest.

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Abstract

Classifying stroke survivors based on their walking abilities is an important part of the gait rehabilitation process. It can act as powerful indicator of function and prognosis in both the early days after a stroke and long after a survivor receives rehabilitation. This classification often relies solely on walking speed; a quick and easy measure, with only a stopwatch needed. However, walking speed may not be the most accurate way of judging individual’s walking ability. Advances in technology mean we are now in a position where ubiquitous and wearable technologies can be used to elicit much richer measures to characterise gait. In this paper we present a case study from one of our studies, where within a homogenous group of stroke survivors (based on walking speed classification) important differences in individual results and the way they responded to rhythmic haptic cueing were identified during the piloting of a novel gait rehabilitation technique.

Item Type: Conference or Workshop Item
Keywords: Stroke; classification; rhythmic haptic cueing; Haptic Bracelets
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Health and Wellbeing PRA (Priority Research Area)
Centre for Research in Computing (CRC)
Item ID: 46336
Depositing User: Theodoros Georgiou
Date Deposited: 18 May 2016 08:51
Last Modified: 16 Aug 2017 13:51
URI: http://oro.open.ac.uk/id/eprint/46336
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