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Applied Sciences
Volume 10
Issue 1
10.3390/app10010234
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Review

Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis

by
Steven Díaz
1,*,
Jeannie B. Stephenson
2 and
Miguel A. Labrador
1
1
Department of Computer Science and Engineering, University of South Florida, 4202 E Fowler Ave, Tampa, FL 33620, USA
2
School of Physical Therapy & Rehabilitation Sciences, University of South Florida, 12901 Bruce B. Downs Blvd., MDC 77, Tampa, FL 33612, USA
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(1), 234; https://doi.org/10.3390/app10010234
Submission received: 17 September 2019 / Revised: 19 December 2019 / Accepted: 23 December 2019 / Published: 27 December 2019
(This article belongs to the Special Issue Intelligent Health Services Based on Biomedical Smart Sensors)
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Abstract

More than 8.6 million people suffer from neurological disorders that affect their gait and balance. Physical therapists provide interventions to improve patient’s functional outcomes, yet balance and gait are often evaluated in a subjective and observational manner. The use of quantitative methods allows for assessment and tracking of patient progress during and after rehabilitation or for early diagnosis of movement disorders. This paper surveys the state-of-the-art in wearable sensor technology in gait, balance, and range of motion research. It serves as a point of reference for future research, describing current solutions and challenges in the field. A two-level taxonomy of rehabilitation assessment is introduced with evaluation metrics and common algorithms utilized in wearable sensor systems.
Keywords: wearable sensors; gait analysis; balance; range of motion; rehabilitation; healthcare wearable sensors; gait analysis; balance; range of motion; rehabilitation; healthcare

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MDPI and ACS Style

Díaz, S.; Stephenson, J.B.; Labrador, M.A. Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis. Appl. Sci. 2020, 10, 234. https://doi.org/10.3390/app10010234

AMA Style

Díaz S, Stephenson JB, Labrador MA. Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis. Applied Sciences. 2020; 10(1):234. https://doi.org/10.3390/app10010234

Chicago/Turabian Style

Díaz, Steven, Jeannie B. Stephenson, and Miguel A. Labrador. 2020. "Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis" Applied Sciences 10, no. 1: 234. https://doi.org/10.3390/app10010234

APA Style

Díaz, S., Stephenson, J. B., & Labrador, M. A. (2020). Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis. Applied Sciences, 10(1), 234. https://doi.org/10.3390/app10010234

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