The Fugl-Meyer assessment (FMA) is the most popular instrument for evaluating upper extremity motor function in stroke patients. However, it is a labor-intensive and timeconsuming method. This paper proposes a novel automated FMA system to overcome these limitations of the FMA. For automation, we used Kinect v2 and force sensing resistor sensors owing to their convenient installation as compared with body-worn sensors. Based on the linguistic guideline of the FMA, a rule-based binary logic classification algorithm was developed to assign FMA scores using the extracted features obtained from the sensors. The algorithm is appropriate for clinical use because it is not based on machine learning, which requires additional learning processes with a large amount of clinical data. The proposed system was able to automate 79% of the FMA tests because of optimized sensor selection and the classification algorithm. In clinical trials conducted with nine stroke patients, the proposed system exhibited high scoring accuracy (92%) and time efficiency (85% reduction in clinicians’ required time).

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.

목적: 본 연구는 코로나-19 상황에서 필라테스 센터의 수강생들의 계획행동이론 하위 요인 태도,주관적 규범, 지각된 행동통제와 플로우(Flow) 경험 및 행동의도 간의 관계성을 도출하고자 하였다.BR방법: 이를 위해 2021년 11월 1일부터 25일까지 부산, 울산, 경남에 있는 필라테스 센터를 방문하여 모집단으로 선정 후 표집하였으며, 자기평가기입으로 응답하였다. 응답이 미비하거나 불량 표본 제외 후 총 237부를 선정하였다.BR결과: 본 연구 결과 첫째, 필라테스 참여자의 태도는 플로우(Flow) 경험에 영향을 미치는 것으로 나타났다. 둘째, 주관적 규범은 플로우 경험에 영향을 미치는 것으로 나타났다. 셋째, 지각된 행동통제는 플로우 경험에 영향을 미치는 것으로 나타났다. 넷째, 플로우 경험은 행동의도에 영향을 미치는 것으로 나타났다.BR결론: 필라테스 참여자의 행동의도를 향상시키기 위해 수요 인구가 늘고 경쟁이 심화된 만큼 획일화된 교육방식에서 벗어나 다양 콘텐츠를 시도하고 참여자가 스스로 적극적으로 교육에 임할 수 있도록 노력이 요구된다. 이러한 결과를 바탕으로 기초 자료가 될 수 있기를 기대한다.