From lab to clinic: towards a virtual reality platform for routine clinical rehabilitation

Lindsay J Millar, Philip J Rowe

Research output: Contribution to conferenceAbstract

Abstract

Background: Recent advances in technology have led to the widespread commercialisation of virtual reality (VR). Many researchers have investigated the use of VR for rehabilitation; however few have extended VR use into routine clinical practice. This is mainly due to systems being too complex and time consuming or too simple to provide necessary information regarding patient function.

Aim: Develop a VR platform that can provide an objective measure of patient function and can be integrated into clinical practice with minimal disruption to routine care.

Method: Motion analysis is currently the gold standard for non-invasive measurement of human movement and therefore was implemented in this study to provide an objective analysis of function. A bespoke, cluster based protocol was developed and used to create an avatar and three feedback scenarios for standard orthopaedic rehabilitation exercises (step up, sit to stand, weight transfer). A cohort study was carried out in a hospital clinic with 15 control and 15 intervention orthopaedic rehabilitation patients to assess the effectiveness of feedback and the integration of the system into routine practice.

Results/Findings: Visual feedback was successfully delivered using motion capture with minimal disruption to routine practice. Further, provision of feedback may have a positive effect on knee sagittal RoM, although larger scale studies are required to confirm these findings.

Discussion and Conclusion: Use of a motion analysis protocol which was designed for purpose allowed integration of the system into routine practice. There was minimal disruption to patient care and use of the system may improve functional outcome of orthopaedic rehabilitation patients.

Conference

ConferenceEFRR - European Forum for research in Rehabilitation 2017
CountryUnited Kingdom
CityGlasgow
Period24/05/1727/05/17

Fingerprint

Patient rehabilitation
Virtual reality
Orthopedics
Rehabilitation
Systems Integration
Feedback
Exercise Therapy
Sensory Feedback
Knee
Patient Care
Cohort Studies
Research Personnel
Technology
Weights and Measures
Motion analysis

Keywords

  • virtual reality (VR)
  • clinical care
  • patient rehabilitation
  • motion analysis
  • orthopaedic rehabilitation

Cite this

Millar, L. J., & Rowe, P. J. (2017). From lab to clinic: towards a virtual reality platform for routine clinical rehabilitation. Abstract from EFRR - European Forum for research in Rehabilitation 2017, Glasgow, United Kingdom.
Millar, Lindsay J ; Rowe, Philip J . / From lab to clinic : towards a virtual reality platform for routine clinical rehabilitation. Abstract from EFRR - European Forum for research in Rehabilitation 2017, Glasgow, United Kingdom.
@conference{bf749f5ea46040778d5cc1215222dc27,
title = "From lab to clinic: towards a virtual reality platform for routine clinical rehabilitation",
abstract = "Background: Recent advances in technology have led to the widespread commercialisation of virtual reality (VR). Many researchers have investigated the use of VR for rehabilitation; however few have extended VR use into routine clinical practice. This is mainly due to systems being too complex and time consuming or too simple to provide necessary information regarding patient function. Aim: Develop a VR platform that can provide an objective measure of patient function and can be integrated into clinical practice with minimal disruption to routine care.Method: Motion analysis is currently the gold standard for non-invasive measurement of human movement and therefore was implemented in this study to provide an objective analysis of function. A bespoke, cluster based protocol was developed and used to create an avatar and three feedback scenarios for standard orthopaedic rehabilitation exercises (step up, sit to stand, weight transfer). A cohort study was carried out in a hospital clinic with 15 control and 15 intervention orthopaedic rehabilitation patients to assess the effectiveness of feedback and the integration of the system into routine practice. Results/Findings: Visual feedback was successfully delivered using motion capture with minimal disruption to routine practice. Further, provision of feedback may have a positive effect on knee sagittal RoM, although larger scale studies are required to confirm these findings. Discussion and Conclusion: Use of a motion analysis protocol which was designed for purpose allowed integration of the system into routine practice. There was minimal disruption to patient care and use of the system may improve functional outcome of orthopaedic rehabilitation patients.",
keywords = "virtual reality (VR), clinical care, patient rehabilitation, motion analysis , orthopaedic rehabilitation",
author = "Millar, {Lindsay J} and Rowe, {Philip J}",
year = "2017",
month = "5",
day = "24",
language = "English",
note = "EFRR - European Forum for research in Rehabilitation 2017 ; Conference date: 24-05-2017 Through 27-05-2017",

}

Millar, LJ & Rowe, PJ 2017, 'From lab to clinic: towards a virtual reality platform for routine clinical rehabilitation' EFRR - European Forum for research in Rehabilitation 2017, Glasgow, United Kingdom, 24/05/17 - 27/05/17, .

From lab to clinic : towards a virtual reality platform for routine clinical rehabilitation. / Millar, Lindsay J; Rowe, Philip J .

2017. Abstract from EFRR - European Forum for research in Rehabilitation 2017, Glasgow, United Kingdom.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - From lab to clinic

T2 - towards a virtual reality platform for routine clinical rehabilitation

AU - Millar, Lindsay J

AU - Rowe, Philip J

PY - 2017/5/24

Y1 - 2017/5/24

N2 - Background: Recent advances in technology have led to the widespread commercialisation of virtual reality (VR). Many researchers have investigated the use of VR for rehabilitation; however few have extended VR use into routine clinical practice. This is mainly due to systems being too complex and time consuming or too simple to provide necessary information regarding patient function. Aim: Develop a VR platform that can provide an objective measure of patient function and can be integrated into clinical practice with minimal disruption to routine care.Method: Motion analysis is currently the gold standard for non-invasive measurement of human movement and therefore was implemented in this study to provide an objective analysis of function. A bespoke, cluster based protocol was developed and used to create an avatar and three feedback scenarios for standard orthopaedic rehabilitation exercises (step up, sit to stand, weight transfer). A cohort study was carried out in a hospital clinic with 15 control and 15 intervention orthopaedic rehabilitation patients to assess the effectiveness of feedback and the integration of the system into routine practice. Results/Findings: Visual feedback was successfully delivered using motion capture with minimal disruption to routine practice. Further, provision of feedback may have a positive effect on knee sagittal RoM, although larger scale studies are required to confirm these findings. Discussion and Conclusion: Use of a motion analysis protocol which was designed for purpose allowed integration of the system into routine practice. There was minimal disruption to patient care and use of the system may improve functional outcome of orthopaedic rehabilitation patients.

AB - Background: Recent advances in technology have led to the widespread commercialisation of virtual reality (VR). Many researchers have investigated the use of VR for rehabilitation; however few have extended VR use into routine clinical practice. This is mainly due to systems being too complex and time consuming or too simple to provide necessary information regarding patient function. Aim: Develop a VR platform that can provide an objective measure of patient function and can be integrated into clinical practice with minimal disruption to routine care.Method: Motion analysis is currently the gold standard for non-invasive measurement of human movement and therefore was implemented in this study to provide an objective analysis of function. A bespoke, cluster based protocol was developed and used to create an avatar and three feedback scenarios for standard orthopaedic rehabilitation exercises (step up, sit to stand, weight transfer). A cohort study was carried out in a hospital clinic with 15 control and 15 intervention orthopaedic rehabilitation patients to assess the effectiveness of feedback and the integration of the system into routine practice. Results/Findings: Visual feedback was successfully delivered using motion capture with minimal disruption to routine practice. Further, provision of feedback may have a positive effect on knee sagittal RoM, although larger scale studies are required to confirm these findings. Discussion and Conclusion: Use of a motion analysis protocol which was designed for purpose allowed integration of the system into routine practice. There was minimal disruption to patient care and use of the system may improve functional outcome of orthopaedic rehabilitation patients.

KW - virtual reality (VR)

KW - clinical care

KW - patient rehabilitation

KW - motion analysis

KW - orthopaedic rehabilitation

M3 - Abstract

ER -

Millar LJ, Rowe PJ. From lab to clinic: towards a virtual reality platform for routine clinical rehabilitation. 2017. Abstract from EFRR - European Forum for research in Rehabilitation 2017, Glasgow, United Kingdom.