하반신 마비환자의 보행보조시스템 제어를 위한 저항 센서 슈트 개발
Development of FSR Sensor Suits Controlling Walking Assist System for Paraplegic Patients
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초록
The purpose of this study was to develop the FSR sensor suit that controls walking assist device for paraplegic patients. The FSR sensor suit was to detect user's intent and patterns for walking by measuring pressure on the palm and the sole of user's foot. It consisted of four modules: sensing pressure from palm, changing modes and detecting pressure on the palm/at the wrist, sensing pressure from the soles of user's foot, and host module that transmit FSR data obtained from sensing modules to PC. Sensing modules were connected to sensing pads which detect analog signals obtained from the palm or the sole of foot. These collect signals from the target regions, convert analog signals into digital signals, and transmit the final signals to host module via zigbee modules. Finally, host modules transmit the signals to host PC via zigbee modules. The study findings showed that forces measured at the palm when using a stick reflected user’s intent to walk and forces at the sole of the user’s foot revealed signals detecting walking state.
Abstract
The purpose of this study was to develop the FSR sensor suit that controls walking assist device for paraplegic patients. The FSR sensor suit was to detect user's intent and patterns for walking by measuring pressure on the palm and the sole of user's foot. It consisted of four modules: sensing pressure from palm, changing modes and detecting pressure on the palm/at the wrist, sensing pressure from the soles of user's foot, and host module that transmit FSR data obtained from sensing modules to PC. Sensing modules were connected to sensing pads which detect analog signals obtained from the palm or the sole of foot. These collect signals from the target regions, convert analog signals into digital signals, and transmit the final signals to host module via zigbee modules. Finally, host modules transmit the signals to host PC via zigbee modules. The study findings showed that forces measured at the palm when using a stick reflected user’s intent to walk and forces at the sole of the user’s foot revealed signals detecting walking state.
참고문헌 (26)
- L.B. Randall, "Physical medicine and rehabilitation" (2006), Maryland Heights
- A.D. Joel, "Physical medicine and rehabilitation: Principles and practice", pp.1253~ (2004), Williams & Winkins
- K. Suzuki, "Intention-based walking support for paraplegia patient", IEEE Trans.Syst.Man Cybern., 3, pp.2707~2713 (2005)
- S.J. Kang, "Analysis of emergy consumption for hybrid gait orthosis", KSPE 2004 Autumn Conference, pp.814~817 (2004)
- H.I. Krebs, "Robot-aided neurorehabilitation:A robot for wrist rehabilitation", IEEE Trans.Neural Syst.Rehabil.Eng., 15, pp.327~335 (2007)
- S. Jezernik, "Robotic orthosis lokomat:a rehabilitation and research tool", Neuromodulation, 6, pp.108~115 (2003)
- A. Chu, "On the biomimetic design of the Berkeley Lower Extremity Exoskeleton (BLEEX),”", 2005 Proc IEEE Int, pp.4345~4352 (2005)
- H. Kawamoto, "Power assist method based on phase sequence and muscle force condition for HAL", Adv.Robot., 19, pp.717~734 (2005)
- 강성재, "하반신 마비환자를 위한 동력보행보조기의 퍼지제어 기법 개발", 제어.로봇.시스템학회 논문지, 15(2), pp.163~168 (2009), 제어·로봇·시스템학회
- J.W. Min, "Human-friendly interfaces of wheelchair robotics system for handicapped persons", Proceedings of the 2002 IEEE, 2002, 1505~1510
- K. Kong, "Design and control of an exoskeleton for the elderly and patients", IEEE, 2006, pp.11, 428~432
- A. Williamson, "Automatic stance-swing phase detection from accelerometer data for peroneal nerve stimulation", IEEE Trans.Biomed.Eng., 37, pp.1201~1208 (1990)
- A. Kostov, "Machine learning in control of functional electrical stimulation systems for locomotion", IEEE Trans.Biomed.Eng., 42, pp.541~551 (1995)
- S.K. Ng, "Fuzzy model identification for classification of gait events in paraplegics", IEEE Trans.Fuzzy Syst., 5, pp.536~544 (1997)
- R. Dai, "Application of tilt sensors in functional electrical stimulation", IEEE Trans.Rehabil.Eng., 4, pp.63~72 (1996)
- J. G. Gamble, "Human walking", pp.25~28 (1994), Williams & Wilkins
- P.H.Peckham, "Functional electrical stimulation:current status and future prospects of applications to the neuromuscular system in spinal cord injury", Paraplegia, 25, pp.279~288 (1987)
- Y. Handa, "Functional electrical stimulation(FES)systems for restoration of motor function of paralyzed muscles-versatile systems and a portable system", Front.Med.Biol.Eng, 4, pp.241~255 (1992)
- B.R. Park, "Electrical stimulation for the restoration of gait function in hemiplegic patients", J.Electron.Eng., 29, pp.465~471 (1992)
- 박병림, "편마비 환자를 위한 근전도 유발 기능적 전기자극기의 개발과 이상적인 전극부착 위치", 의공학회지, 25(2), pp.8~8 (2004), 대한의용생체공학회
- D. Veselinovic, "A wavelet transform approach to blind adaptive filtering", IEEE Trans.Circuits Syst.II, 50, pp.150~154 (2003)
- H.R. Lehneis, "Der gang von paraplegikern mit dem hybrid system aus FNS", orthesen(Paraplegic walking with hybrid FNS, Orthopadie Technik, pp.1998, 49[DOI]
- S.G. Hwang, "Development of a motion control algorithm for a 4-legged walking robot", IEEK Soc, pp.227~230 (1998)
- 안승찬, "저항센서와 자이로센서를 이용한 새로운 보행주기 검출시스템의 개발 및 평가", 한국정밀공학회지, 21(10), pp.196~203 (2004), 한국정밀공학회
- I.P.I. Pappas, "A reliable gait phase detection system", IEEE Trans.Neural Syst.Rehabil.Eng., 9, pp.113~125 (2001)