A Pilot Study Using Tactile Cueing for Gait Rehabilitation Following Stroke

Holland, Simon; Wright, Rachel L.; Wing, Alan M.; Crevoisier, Thomas; Hödl, Oliver; Canelli, Maxime

doi:10.1007/978-3-662-48645-0_19

Cited by 6 publications

(19 citation statements)

References 29 publications

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“…For example, consider "pacing" or "temporal feedback" as a category. A system can, for instance, use rhythmic tones or music to guide the pace during an attempt [83], then use a haptic metronome [84] to guide pacing between attempts, and visually give terminal feedback on pacing at the end of a session in the form of a report or score [85]. In this manner, all modalities have been assigned to the same area of information on motor performance, but their delivery is ordered in different timing frequencies.…”

Section: Style 1: Alternatementioning

confidence: 99%

A Survey of Multimodal Systems and Techniques for Motor Learning

Tadayon

McDaniel²,

Panchanathan

2017

J Inf Process Syst

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This survey paper explores the application of multimodal feedback in automated systems for motor learning. In this paper, we review the findings shown in recent studies in this field using rehabilitation and various motor training scenarios as context. We discuss popular feedback delivery and sensing mechanisms for motion capture and processing in terms of requirements, benefits, and limitations. The selection of modalities is presented via our having reviewed the best-practice approaches for each modality relative to motor task complexity with example implementations in recent work. We summarize the advantages and disadvantages of several approaches for integrating modalities in terms of fusion and frequency of feedback during motor tasks. Finally, we review the limitations of perceptual bandwidth and provide an evaluation of the information transfer for each modality.

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Section: Style 1: Alternatementioning

confidence: 99%

A Survey of Multimodal Systems and Techniques for Motor Learning

Tadayon

McDaniel²,

Panchanathan

2017

J Inf Process Syst

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“…A recent pilot study [8] using Haptic Bracelets to provide vibrotactile rhythmic cueing for post-stroke gait rehabilitation demonstrated immediate benefits similar to auditory cueing. With tactile cueing, step length was found to increase, and a range of other measures: paretic, hip angle at toe off, peak knee flexion during swing and ankle range of motion all increased beneficially.…”

Section: B Audio Visual and Haptic Support For Gait Rehabilitationmentioning

confidence: 99%

“…With tactile cueing, step length was found to increase, and a range of other measures: paretic, hip angle at toe off, peak knee flexion during swing and ankle range of motion all increased beneficially. The participant noted that the cueing "helps me to walk in time" and "helps me to stand up straight and walk properly" [8].…”

Section: B Audio Visual and Haptic Support For Gait Rehabilitationmentioning

confidence: 99%

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A blended user centred design study for wearable haptic gait rehabilitation following hemiparetic stroke

Georgiou¹,

Holland²,

Linden³

et al. 2015

Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare

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Abstract-Restoring mobility and rehabilitation of gait are high priorities for post-stroke rehabilitation. Cueing using metronomic rhythmic sensory stimulation has been shown to improve gait, but most versions of this approach have used auditory and visual cues. In contrast, we developed a prototype wearable system for rhythmic cueing based on haptics, which was shown to be highly effective in an early pilot study. In this paper we describe a follow-up study with four stroke survivors to inform design, and to identify issues and requirements for such devices to be used in home-based or out-door settings. To this end, we present a blended user-centred design study of a wearable haptic gait rehabilitation system. This study draws on the combined views of physiotherapists, nurses, interaction designers and stroke survivors. Many of the findings were unanticipated, identifying issues outside the scope of initial designs, with important implications for future design and appropriate use.

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“…Current research has shown that walking to a rhythm can lead to significant improvements in various aspects of gait for stroke survivors, such as temporal and spatial asymmetries [3] [4] [5] [6]. The benefits of walking to a rhythm, as a form of therapy for such conditions, are well established.…”

Section: Introductionmentioning

confidence: 99%

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

Georgiou

Holland

Linden

et al. 2016

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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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.

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A Pilot Study Using Tactile Cueing for Gait Rehabilitation Following Stroke

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Cited by 6 publications

References 29 publications

A Survey of Multimodal Systems and Techniques for Motor Learning

A Survey of Multimodal Systems and Techniques for Motor Learning

A blended user centred design study for wearable haptic gait rehabilitation following hemiparetic stroke

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

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