Wearable Haptic Devices for Gait Re-education by Rhythmic Haptic Cueing

This research explores the development and evaluation of wearable haptic devices for gait sensing and rhythmic haptic cueing in the context of gait re-education for people with neurological and neurodegenerative conditions. Many people with long-term neurological and neurodegenerative conditions such as Stroke, Brain Injury, Multiple Sclerosis or Parkinson’s disease suffer from impaired walking gait pattern. Gait improvement can lead to better fluidity in walking, improved health outcomes, greater independence, and enhanced quality of life. Existing lab-based studies with wearable devices have shown that rhythmic haptic cueing can cause immediate improvements to gait features such as temporal symmetry, stride length, and walking speed. However, current wearable systems are unsuitable for self-managed use for in-the-wild applications with people having such conditions. This work aims to investigate the research question of how wearable haptic devices can help in long-term gait re-education using rhythmic haptic cueing. A longitudinal pilot study has been conducted with a brain trauma survivor, providing rhythmic haptic cueing using a wearable haptic device as a therapeutic intervention for a two-week period. Preliminary results comparing pre and post-intervention gait measurements have shown improvements in walking speed, temporal asymmetry, and stride length. The pilot study has raised an array of issues that require further study. This work aims to develop and evaluate prototype systems through an iterative design process to make possible the self-managed use of such devices in-the-wild. These systems will directly provide therapeutic intervention for gait re-education, offer enhanced information for therapists, remotely monitor dosage adherence and inform treatment and prognoses over the long-term. This research will evaluate the use of technology from the perspective of multiple stakeholders, including clinicians, carers and patients. This work has the potential to impact clinical practice nationwide and worldwide in neuro-physiotherapy.

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Riasat Islam

Conference

Publication date: July 2018

Publication date (Print): July 2018

Pages: 1-7

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[0001]The Open University Milton Keynes, United Kingdom

Article

DOI: 10.14236/ewic/HCI2018.203

SO-VID: 4a6615df-b94e-4cc9-915f-d2859cd4b899

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference

Conference acronym: HCI

Conference number: 32

Conference location: Belfast, UK

Conference date: 4 - 6 July 2018

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction Conference

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1477-9358 BCS Learning & Development

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Self URI (journal page): https://ewic.bcs.org/

REFERENCES

D.K. ChenY., M. HallerT.F. Besier 2017 Wearable lower limb haptic feedback device for retraining Foot Progression Angle and Step Width Gait & Posture 55 177 183 http://doi.org/10.1016/j.gaitpost.2017.04.028 D.K.Y. Chen, M. HallerT.F. Besier 2017. Wearable lower limb haptic feedback device for retraining Foot Progression Angle and Step Width. Gait & Posture 55, 177 183 http://doi.org/10.1016/j.gaitpost.2017.04.028
T. Georgiou 2018 Rhythmic Haptic Cueing for Gait Rehabilitation of Neurological Conditions (Ph.D.). The Open University, Milton Keynes, United Kingdom
S. HollandR.L. WrightA. WingT. CrevoisierO. HödlM. Canelli 2014 A Gait Rehabilitation Pilot Study Using Tactile Cueing Following Hemiparetic Stroke in: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth ‟14 ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium 402 405 http://doi.org/10.4108/icst.pervasivehealth.2014.255357
K.L. HollandsT.A. PeltonS.F. TysonM.A. Hollands, van P.M. Vliet 2012 Interventions for coordination of walking following stroke: Systematic review Gait & Posture 35 349 359 http://doi.org/10.1016/j.gaitpost.2011.10.355
K. Huang 2015 Exploring In-Home Monitoring of Rehabilitation and Creating an Authoring Tool for Physical Therapists (Ph.D.). Carnegie Mellon University, United States -- Pennsylvania
K. HuangP.J. SpartoS. KieslerA. SmailagicJ. MankoffD. Siewiorek 2014 A Technology Probe of Wearable In-home Computer-assisted Physical Therapy in: Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems, CHI ‟14 ACM, New York, NY, USA 2541 2550 http://doi.org/10.1145/2556288.2557416
H. HutchinsonW. MackayB. WesterlundB.B. BedersonA. DruinC. PlaisantM. Beaudouin-LafonS. ConversyH. EvansH. HansenN. RousselB. Eiderbäck 2003 Technology Probes: Inspiring Design for and with Families in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ‟03 ACM, New York, NY, USA 17 24 http://doi.org/10.1145/642611.642616
A. NieuwboerG. KwakkelL. RochesterD. JonesE. Wegen van, A.M. WillemsF. ChavretV. HetheringtonK. BakerI. Lim 2007 Cueing training in the home improves gait-related mobility in Parkinson‟s disease: the RESCUE trial Journal of Neurology, Neurosurgery & Psychiatry 78 134 140 http://doi.org/10.1136/jnnp.200X.097923
P.B. ShullW. JirattigalachoteM.A. HuntM.R. CutkoskyS.L. Delp 2014 Quantified self and human movement: A review on the clinical impact of wearable sensing and feedback for gait analysis and intervention Gait & Posture 40 11 19 http://doi.org/10.1016/j.gaitpost.2014.03.189
J.J. TateC.E. Milner 2010 Real-Time Kinematic, Temporospatial, and Kinetic Biofeedback During Gait Retraining in Patients: A Systematic Review Phys Ther 90 1123 1134 http://doi.org/10.2522/ptj.20080281
M.H. ThautM. Abiru 2010 Rhythmic Auditory Stimulation in Rehabilitation of Movement Disorders: A Review Of Current Research Music Perception 27 263 269 http://doi.org/10.1525/mp.2010.27.4.263

Comments

Comment on this article

[1] D.K. ChenY., M. HallerT.F. Besier 2017 Wearable lower limb haptic feedback device for retraining Foot Progression Angle and Step Width Gait & Posture 55 177 183 http://doi.org/10.1016/j.gaitpost.2017.04.028 D.K.Y. Chen, M. HallerT.F. Besier 2017. Wearable lower limb haptic feedback device for retraining Foot Progression Angle and Step Width. Gait & Posture 55, 177 183 http://doi.org/10.1016/j.gaitpost.2017.04.028

[2] T. Georgiou 2018 Rhythmic Haptic Cueing for Gait Rehabilitation of Neurological Conditions (Ph.D.). The Open University, Milton Keynes, United Kingdom

[3] S. HollandR.L. WrightA. WingT. CrevoisierO. HödlM. Canelli 2014 A Gait Rehabilitation Pilot Study Using Tactile Cueing Following Hemiparetic Stroke in: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth ‟14 ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium 402 405 http://doi.org/10.4108/icst.pervasivehealth.2014.255357

[4] K.L. HollandsT.A. PeltonS.F. TysonM.A. Hollands, van P.M. Vliet 2012 Interventions for coordination of walking following stroke: Systematic review Gait & Posture 35 349 359 http://doi.org/10.1016/j.gaitpost.2011.10.355

[5] K. Huang 2015 Exploring In-Home Monitoring of Rehabilitation and Creating an Authoring Tool for Physical Therapists (Ph.D.). Carnegie Mellon University, United States -- Pennsylvania

[6] K. HuangP.J. SpartoS. KieslerA. SmailagicJ. MankoffD. Siewiorek 2014 A Technology Probe of Wearable In-home Computer-assisted Physical Therapy in: Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems, CHI ‟14 ACM, New York, NY, USA 2541 2550 http://doi.org/10.1145/2556288.2557416

[7] H. HutchinsonW. MackayB. WesterlundB.B. BedersonA. DruinC. PlaisantM. Beaudouin-LafonS. ConversyH. EvansH. HansenN. RousselB. Eiderbäck 2003 Technology Probes: Inspiring Design for and with Families in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ‟03 ACM, New York, NY, USA 17 24 http://doi.org/10.1145/642611.642616

[8] A. NieuwboerG. KwakkelL. RochesterD. JonesE. Wegen van, A.M. WillemsF. ChavretV. HetheringtonK. BakerI. Lim 2007 Cueing training in the home improves gait-related mobility in Parkinson‟s disease: the RESCUE trial Journal of Neurology, Neurosurgery & Psychiatry 78 134 140 http://doi.org/10.1136/jnnp.200X.097923

[9] P.B. ShullW. JirattigalachoteM.A. HuntM.R. CutkoskyS.L. Delp 2014 Quantified self and human movement: A review on the clinical impact of wearable sensing and feedback for gait analysis and intervention Gait & Posture 40 11 19 http://doi.org/10.1016/j.gaitpost.2014.03.189

[10] J.J. TateC.E. Milner 2010 Real-Time Kinematic, Temporospatial, and Kinetic Biofeedback During Gait Retraining in Patients: A Systematic Review Phys Ther 90 1123 1134 http://doi.org/10.2522/ptj.20080281

[11] M.H. ThautM. Abiru 2010 Rhythmic Auditory Stimulation in Rehabilitation of Movement Disorders: A Review Of Current Research Music Perception 27 263 269 http://doi.org/10.1525/mp.2010.27.4.263

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