Journal article
Automated analysis of gait and modified timed up and go using the Microsoft Kinect in people with Parkinson’s disease: associations with physical outcome measures
Medical and Biological Engineering and Computing, Vol.57(2), pp.369-377
2019
Abstract
Instrumenting physical assessments in people with Parkinson's disease can provide valuable and sensitive information. This study aimed to investigate whether variables derived from a Kinect-based system can provide incremental value over standard habitual gait speed (HGS) and timed up and go (TUG) variables by evaluating associations with (1) motor and (2) postural instability and gait difficulty (PIGD) subscales of the Unified Parkinson's Disease Rating Scale (UPDRS). Sixty-two individuals with Parkinson's disease (age 66±7 years; 74% male) undertook an instrumented HGS and modified TUG tests, in addition to the UPDRS. Multivariable regression models were used to evaluate the associations of the Kinect measures with UPDRS motor and PIGD scores. First step length during the TUG and average step length and vertical pelvic displacement during the HGS were significantly associated with the PIGD subscale (P < 0.05). The only Kinect-derived variable showing additive benefits over the standard measures for the PIGD association was HGS vertical pelvic displacement. The only standard or Kinect-derived variable significantly associated with the motor subscale was first step length during the TUG (P < 0.01). This study provides preliminary evidence to support the use of a low-cost, non-invasive method of instrumenting gait and TUG tests in people with Parkinson's disease.
Details
- Title
- Automated analysis of gait and modified timed up and go using the Microsoft Kinect in people with Parkinson’s disease: associations with physical outcome measures
- Authors
- Dawn Tan (Author) - Singapore General Hospital, Republic of SingaporeYong-Hao Pua (Author) - Singapore General HospitalShaminian Balakrishnan (Author) - Singapore General Hospital, Republic of SingaporeAileen Scully (Author) - Singapore General Hospital, Republic of SingaporeKelly J Bower (Author) - Duke-NUS Graduate Medical School, Republic of SingaporeKumar Manharlal Prakash (Author) - Duke-NUS Graduate Medical School, Republic of SingaporeEng-King Tan (Author) - Duke-NUS Graduate Medical School, Republic of SingaporeJing-Si Chew (Author) - Singapore General Hospital, Republic of SingaporeEvelyn Poh (Author) - Singapore General Hospital, Republic of SingaporeSiok-Bee Tan (Author) - Singapore General Hospital, Republic of SingaporeRoss Clark (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
- Publication details
- Medical and Biological Engineering and Computing, Vol.57(2), pp.369-377
- Publisher
- Springer
- Date published
- 2019
- DOI
- 10.1007/s11517-018-1868-2
- ISSN
- 0140-0118
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; School of Health and Behavioural Sciences - Legacy; School of Health - Public Health
- Language
- English
- Record Identifier
- 99451129802621
- Output Type
- Journal article
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