eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers

Research Article

Questioning Classic Patient Classification Techniques in Gait Rehabilitation: Insights from Wearable Haptic Technology

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  • @INPROCEEDINGS{10.1007/978-3-319-49655-9_40,
        author={Theodoros Georgiou and Simon Holland and Janet Linden and Glenis Donaldson},
        title={Questioning Classic Patient Classification Techniques in Gait Rehabilitation: Insights from Wearable Haptic Technology},
        proceedings={eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers},
        proceedings_a={EHEALTH360},
        year={2017},
        month={1},
        keywords={Stroke Classification Rhythmic haptic cueing Haptic Bracelets},
        doi={10.1007/978-3-319-49655-9_40}
    }
    
  • Theodoros Georgiou
    Simon Holland
    Janet Linden
    Glenis Donaldson
    Year: 2017
    Questioning Classic Patient Classification Techniques in Gait Rehabilitation: Insights from Wearable Haptic Technology
    EHEALTH360
    Springer
    DOI: 10.1007/978-3-319-49655-9_40
Theodoros Georgiou1,*, Simon Holland1, Janet Linden1, Glenis Donaldson2
  • 1: The Open University
  • 2: Manchester Metropolitan University
*Contact email: Theodoros.Georgiou@open.ac.uk

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.