단계별 무릎 재활을 위한 근전도 및 관성센서 피드백 기반 외골격 시스템 개발
Development of a Knee Exoskeleton for Rehabilitation Based EMG and IMU Sensor Feedback
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The number of knee-related disease patients and knee joint surgeries is steadily increasing every year, and for knee rehabilitation training for these knee joint patients, it is necessary to strengthen the muscle of vastus medialis and quadriceps femoris. However, because of the cost and time-consuming difficulties of receiving regular hospital treatment in the course of knee rehabilitation, we developed knee exoskeleton using rapid prototype for knee rehabilitation with feedback from the electromyogram (EMG) and inertia motion unit (IMU) sensor. The modules was built on the basis of EMG and an IMU sensor applied complementary filter, measuring muscle activity in the vastus medialis and the range of joint operation of the knee, and then performing the game based on this measurement. The IMU sensor performed up to 97.2% accuracy in experiments with ten subjects. The functional game contents consisted of an exergaming platform based on EMG and IMU for the real-time monitoring and performance assessment of personalized isometric and isotonic exercises. This study combined EMG and IMU-based functional game with knee rehabilitation training to enable voluntary rehabilitation training by providing immediate feedback to patients through biometric information, thereby enhancing muscle strength efficiency of rehabilitation.
Abstract
The number of knee-related disease patients and knee joint surgeries is steadily increasing every year, and for knee rehabilitation training for these knee joint patients, it is necessary to strengthen the muscle of vastus medialis and quadriceps femoris. However, because of the cost and time-consuming difficulties of receiving regular hospital treatment in the course of knee rehabilitation, we developed knee exoskeleton using rapid prototype for knee rehabilitation with feedback from the electromyogram (EMG) and inertia motion unit (IMU) sensor. The modules was built on the basis of EMG and an IMU sensor applied complementary filter, measuring muscle activity in the vastus medialis and the range of joint operation of the knee, and then performing the game based on this measurement. The IMU sensor performed up to 97.2% accuracy in experiments with ten subjects. The functional game contents consisted of an exergaming platform based on EMG and IMU for the real-time monitoring and performance assessment of personalized isometric and isotonic exercises. This study combined EMG and IMU-based functional game with knee rehabilitation training to enable voluntary rehabilitation training by providing immediate feedback to patients through biometric information, thereby enhancing muscle strength efficiency of rehabilitation.
참고문헌 (17)
- Rank by frequency of disease surgery, "Korean Statistical Information Service", ~ (2016)
- Kang DH, "The Effects of Knee Extensor Flexor Muscle Strength and Joint Position Sense in Squat Exercise on Variety Surface", Journal of the Korean Society of Integrative Medicine, 1(2), pp.47~57 (2013)
- 박성준, "인공 슬관절 전치환술 환자의 무릎 재활을 위한 관성센서 기반 기능성 게임 개발 및 유용성 평가", 재활복지공학회논문지, 13(2), pp.127~133 (2019), 한국재활복지공학회[DOI]
- Lewek M, "The effect of insufficient quadriceps strength on gait after anterior cruciate ligament reconstruction", Clinical Biomechanics, 17(1), pp.56~63 (2002)
- Meira EP, "Influence of the hip on patients with patellofemoral pain syndrome : a systematic review", Sports Health, 3(5), pp.455~465 (2011)
- Neumann DN, "Kinesiology of the Musculoskeletal System" (2016), Mosby
- Shin SY, "Muscle Strength Following Short Term Isometric And Isotonic Exercise", Journal of Korean Physical Therapy Science, 6(4), pp.167~171 (1999)
- Dursun N, "Electromyographic biofeedback–controlled exercise versus conservative care for patellofemoral pain syndrome", Archives of physical medicine and rehabilitation, 82(2), pp.1692~1695 (2001)
- Burke JW, "Optimizing engagement strategies for stroke rehabilitation using serious games", Journal the visual computer, 25(12), pp.1085~1099 (2009)
- Duncan PW, "Adherence to post-acute rehabilitation guidelines is associated with functional recovery in stroke", Stroke, 33(1), pp.167~177 (2002)
- Beeker MH, "Patient Adherence to prescribed therapies", Medical Care, 23(5), pp.539~555 (1985)
- Rego PA, "Serious games for rehabilitation:A survey and a classification towards a taxonomy", Information systems and technologies (CISTI) 5th conference (2010)
- Christian S, "Full body interaction for serious games in motor rehabilitation", Proceedings of the 2nd augmented human international conference (2011)
- Saponas TS, "Enabling Always-Available Input with Muscle-Computer Interfaces", Proceedings of the 22nd annual ACM Symposium on User Interface Software and Technology, pp.167~176 (2009)
- Nadia GH, "Development of an EMG-based exergaming system for isometric muscle training and its effectiveness to enhance motivation, performance and muscle strength", International Journal of Human-Computer Studies, 124, pp.44~55 (2019)
- Ganesan Y, "Development of an Upper Limb Exoskeleton for Rehabilitation with Feedback from EMG and IMU Sensor", Procedia Computer Science, 76, pp.53~59 (2015)
- Thomas S, "IMU-Based Joint Angle Measurement for Gait Analysis", Sensors, 14, pp.6891~6909 (2014)