키넥트 모션인식과 ECG센서의 심박수 측정을 기반한 스마트 원격 재활운동 시스템
Smart Remote Rehabilitation System Based on the Measurement of Heart Rate from ECG Sensor and Kinect Motion-Recognition
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초록
The Microsoft Kinect is a motion sensing input device which is widely used for many motion recognition applications such as fitness, sports, and rehabilitation. Until now, most of remote rehabilitation systems with the Microsoft Kinect have allowed the user or patient to do rehabilitation or fitness by following the motion of a video screen. However in this paper we propose a smart remote rehabilitation system with the Microsoft Kinect motion sensor and a wearable ECG sensor which can allow patients to offer monitoring of the individual's performance and personalized feedback on rehabilitation exercises. The proposed noble smart remote rehabilitation is able to monitor and measure the state of the patient's condition during rehabilitation exercise, and transmits it to the prescriber. This system can give feedback to a prescriber, a doctor and a patient for improving and recovering motor performance. Thus, the efficient rehabilitation training service can be provided to patient in response to changes of patient's condition during exercise.
Abstract
The Microsoft Kinect is a motion sensing input device which is widely used for many motion recognition applications such as fitness, sports, and rehabilitation. Until now, most of remote rehabilitation systems with the Microsoft Kinect have allowed the user or patient to do rehabilitation or fitness by following the motion of a video screen. However in this paper we propose a smart remote rehabilitation system with the Microsoft Kinect motion sensor and a wearable ECG sensor which can allow patients to offer monitoring of the individual's performance and personalized feedback on rehabilitation exercises. The proposed noble smart remote rehabilitation is able to monitor and measure the state of the patient's condition during rehabilitation exercise, and transmits it to the prescriber. This system can give feedback to a prescriber, a doctor and a patient for improving and recovering motor performance. Thus, the efficient rehabilitation training service can be provided to patient in response to changes of patient's condition during exercise.
참고문헌 (13)
- S. T. Smith, "The use of exercise-based videogames for training and rehabilitation of physical function in older adults : current practice and guidelines for future research", Aging Health, 8(3), pp.243~252 (2012)
- J. Van Paasschen, "Cognitive rehabilitation changes memory-related brain activity in people with Alzheimer disease", Neurorehabil Neural Repair, 27, pp.448~459 (2013)
- L. H. Larsen, "The physical effect of exergames in healthy elderly-A systematic review", Games Health J, 2(4), pp.205~212 (2013)
- 한남익, "자기통제 피드백이 펜싱 찌르기 동작의 수행 및 학습에 미치는 영향", 한국체육학회지, 42(5), pp.191~202 (2003), 한국체육학회
- S. H. Han, "Effects of augmented feedback training on the upper-limb functions and ADLs of chronic stroke patients", J. Korena Association Occupational Therapy Policy for Aged Industry, 4(1), pp.41~53 (2011)
- J. Zhu, "Reliability fusion of time-of-flight depth and stereo geometry for high quality depth maps", IEEE Trans Pattern Anal Mach Intell, 33(7), pp.1400~1414 (2011)
- 이승철, "무선센서네트워크 기반의 웨어러블 센서노드에서 3축 가속도 신호의 단채널 전송과 심전도 노이즈 제거에 대한 연구", 센서학회지, 20(2), pp.137~144 (2011), 한국센서학회
- J. Pan, "A real-time QRS detection algorithm", IEEE Trans Biomed Eng, 132, pp.230~236 (1985)
- S. J. Jung, "Highly sensitive driver health condition monitoring system using nonintrusive active electrodes", Sens. Actuator B-Chem., 171, pp.691~698 (2012)
- S. H. Kim, "Finite element analysis of ultrasound propagation and nonlinear energy operator-based time-of-flight detection in bone", 석사, Dept. Biomed. Eng., pp.2010
- 송윤미, "신체활동량 및 에너지 소비량 추정 방법", 코칭능력개발지, 7(3), pp.159~168 (2005), 한국코칭능력개발원
- L. R. Keytel, "Prediction of energy expenditure from heart rate monitoring during submaximal exercise", J Sports Sci, 23(3), pp.11~20 (2005)
