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Wearable Haptic Devices For Post- Stroke Gait Rehabilitation

Georgiou, Theodoros; Holland, Simon and van der Linden, Janet (2016). Wearable Haptic Devices For Post- Stroke Gait Rehabilitation. In: Designing, developing, and evaluating the internet of personal health: International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) , 12-16 Sep 2016, Heidelberg, Germany.

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Abstract

Wearable technologies, in the form of small, light and inconspicuous devices, can be designed to help individuals suffering from neurological conditions carry out regular rehabilitation exercises. Current research has shown that walking to a rhythm can lead to significant improvements in various aspects of gait.
Our primary aim is to provide a suitable, technology based intervention to enhance gait rehabilitation of people with chronic and degenerative neurological health conditions (such as stroke). This intervention will be in the form of small, lightweight, wireless, wearable devices the user can take out of the clinic, extending their rehabilitation to their own home setting. The devices can deliver a series of vibrations at a steady rhythm giving the patient a more stable and symmetric pace of walking.
The simplest version of this approach typically comprise of a very small network of just two nodes and a central controller. The existing prototypes (called the Haptic Bracelets) capture and analyse motion data in real time to provide adaptive haptic (through vibrations) cueing. In the future and after more refinement, the system could allow a single therapist to monitor and advise groups of stroke survivors undergoing therapy sessions.

Item Type: Conference or Workshop Item
Keywords: Stroke; gait rehabilitation; hemiparetic gait; wearables; Haptic Bracelets; rhythmic haptic cueing
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: 47000
Depositing User: Theodoros Georgiou
Date Deposited: 17 Aug 2016 12:13
Last Modified: 16 Aug 2017 13:51
URI: http://oro.open.ac.uk/id/eprint/47000
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