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Detail
Journal Article
Factors affecting real‐time evaluation of muscle function in smart rehab systems
- Authors
- Hyunwoo Joe, Hyunsuk Kim, Seung-Jun Lee, Tae Sung Park, Myung-Jun Shin, Lee Hooman, Daesub Yoon, Woojin Kim
- Issue Date
- 2023-08
- Citation
- ETRI Journal, v.45, no.4, pp.603-614
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원
- Language
- English
- Type
- Journal Article
- Abstract
- Advancements in remote medical technologies and smart devices have led to expectations of contactless rehabilitation. Conventionally, rehabilitation requires clinicians to perform routine muscle function assessments with patients. However, assessment results are difficult to cross‐reference owing to the lack of a gold standard. Thus, the application of remote smart rehabilitation systems is significantly hindered. This study analyzes the factors affecting the real‐time evaluation of muscle function based on biometric sensor data so that we can provide a basis for a remote system. We acquired real clinical stroke patient data to identify the meaningful features associated with normal and abnormal musculature. We provide a system based on these emerging features that assesses muscle functionality in real time via streamed biometric signal data. A system view based on the amount of data, data processing speed, and feature proportions is provided to support the production of a rudimentary remote smart rehabilitation system.
- KSP Keywords
- Data processing, Gold standard, Muscle function, Patient data, Processing speed, Real-time, Smart devices, biometric sensor, rehabilitation system, remote medical, remote system
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
