Proof-of-concept of a sensor-based evaluation method for better sensitivity of upper-extremity motor function assessment
Author(s)
Type
Journal Article
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.
Date Issued
2021-09-03
Date Acceptance
2021-08-27
Citation
Sensors, 2021, 21 (17)
ISSN
1424-8220
Publisher
MDPI
Journal / Book Title
Sensors
Volume
21
Issue
17
Copyright Statement
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/34502816
PII: s21175926
Subjects
Chemistry
Chemistry, Analytical
depth sensor
Engineering
Engineering, Electrical & Electronic
FRAMEWORK
FUGL-MEYER ASSESSMENT
FUNCTION IMPAIRMENT
fuzzy inference system
Instruments & Instrumentation
Physical Sciences
RECOVERY
rehabilitation
Science & Technology
sensitivity
sensor-based motor function assessment
STROKE
Technology
Publication Status
Published
Coverage Spatial
Switzerland
Article Number
ARTN 5926
Date Publish Online
2021-09-03