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- Title
Proof-of-Concept of a Sensor-Based Evaluation Method for Better Sensitivity of Upper-Extremity Motor Function Assessment.
- Authors
Lee, Seung-Hee; Hwang, Ye-Ji; Lee, Hwang-Jae; Kim, Yun-Hee; Ogrinc, Matjaž; Burdet, Etienne; Kim, Jong-Hyun
- Abstract
In rehabilitation, the Fugl–Meyer assessment (FMA) is a typical clinical instrument to assess upper-extremity motor function of stroke patients, but it cannot measure fine changes of motor function (both in recovery and deterioration) due to its limited sensitivity. This paper introduces a sensor-based automated FMA system that addresses this limitation with a continuous rating algorithm. The system consists of a depth sensor (Kinect V2) and an algorithm to rate the continuous FM scale based on fuzzy inference. Using a binary logic based classification method developed from a linguistic scoring guideline of FMA, we designed fuzzy input/output variables, fuzzy rules, membership functions, and a defuzzification method for several representative FMA tests. A pilot trial with nine stroke patients was performed to test the feasibility of the proposed approach. The continuous FM scale from the proposed algorithm exhibited a high correlation with the clinician rated scores and the results showed the possibility of more sensitive upper-extremity motor function assessment.
- Subjects
FUNCTIONAL assessment; FUZZY logic; EVALUATION methodology; KINECT (Motion sensor); ALGORITHMS; MEMBERSHIP functions (Fuzzy logic); BINARY sequences; FUZZY sets
- Publication
Sensors (14248220), 2021, Vol 21, Issue 17, p5926
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s21175926