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

期刊

APPLIED SCIENCES-BASEL
卷 10, 期 1, 页码 -

出版社

MDPI
DOI: 10.3390/app10010234

关键词

wearable sensors; gait analysis; balance; range of motion; rehabilitation; healthcare

资金

  1. National Science Foundation Florida-Georgia Louis Stokes Alliance for Minority Participation Bridge to the Doctorate [1400837]
  2. National Science Foundation [1458928, 1645025]
  3. Direct For Computer & Info Scie & Enginr
  4. Division Of Computer and Network Systems [1458928, 1645025] Funding Source: National Science Foundation
  5. Direct For Education and Human Resources
  6. Division Of Human Resource Development [1400837] Funding Source: National Science Foundation

向作者/读者索取更多资源

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.

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