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研究生:Dharamjeet
研究生(外文):Dharamjeet
論文名稱:以穿戴式感測器偵測下肢步態之動作徵兆
論文名稱(外文):Using Wearable Sensors to Detect Gait Locomotion in Lower Limbs
指導教授:謝萬雲謝萬雲引用關係
指導教授(外文):W. Y. Shieh
學位類別:碩士
校院名稱:長庚大學
系所名稱:資訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:英文
論文頁數:56
中文關鍵詞:步態分析陀螺儀加速規壓力感測器
外文關鍵詞:Gait LocomotionSmart BootGyroscopeAccelerometerForce Sensitive Resistor
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Chang Gung University Recommendation Letter from the Thesis Advisor
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Acknowledgements ............................................................................................... iii
ABSTRACT ............................................................................................................... iv
CONTENT……..…...………….……………………………………………..…. v
List of Figures ......................................................................................................... vii
List of table: ........................................................................................................... ix
Chapter 1 INTRODUCTION ..................................................................................... 1
1.1 Background and Significance ......................................................................... 1
1.2. Basis of Human Gait Analysis ........................................................................ 4
1.3 Wearable Sensors for Gait Analysis: .............................................................. 6
1.4 Gait Analysis Methods Based on Wearable Sensors: ..................................... 6
1.5 Purpose for designing this device: ................................................................. 7
1.6 Research Goal: .............................................................................................. 8
Chapter2 Related Work ......................................................................................... 9
2.1.1 Types of Sensors and their purpose in a shoe: ....................................... 10
Chapter3 Methods ............................................................................................... 13
3.1 Device Design: ............................................................................................. 13
3.2 Reference frame of smart boot: .................................................................. 17
3.3 Description of axis with sensors: ................................................................. 17
3.4 Signal Processing: ........................................................................................ 18
Chapter4 Data Collection and Results .................................................................. 20
4.1 Subjects: ...................................................................................................... 20
4.2 Device Application and Testing ................................................................... 21
4.3 How these gait parameters are related to disease? Using PD patients as example ............................................................................................................ 22
4.3.1 Flow Chart of normal gait and simulation of PD gait .............................. 24
4.4 Experiment Results...................................................................................... 25
4.4.1 Results of smart boot data b/w normal walking and simulated abnormal walking (FoG) ................................................................................................. 25
4.4.2 Results of smart boot data b/w normal walking and Short Steps .......... 31
Chapter5 Discussion............................................................................................. 35
5.1 Medical diagnostics .................................................................................... 36
5.2 Biometric identification and forensics ........................................................ 36
5.3 Sports .......................................................................................................... 36
5.4 Rehabilitation .............................................................................................. 37
5.5 Clinical Diagnosis and Healthcare Monitoring ............................................. 38
Chapter6 Conclusion and Future Work ................................................................ 39
References: .......................................................................................................... 40

List of Figures
Figure 1 Gait phases in a normal gait cycle. (a) Gait phases of the stance period; .. 4
Figure 2 Mechanical gyroscope [69], and piezoelectric gyroscope [70]. .............. 11
Figure 3 Three‐axis accelerometer with microcontroller [72], and piezoelectric accelerometer [73]. .............................................................................................. 11
Figure 4 Force sensitive resistor sensor construction. Image of flexi force sensor 12
Figure 5 Diagram of system ................................................................................. 13
Figure 6 Device with labeled components ............................................................ 14
Figure 7 Position of FSR ...................................................................................... 14
Figure 8 Schematic of circuit for the device. ........................................................ 15
Figure 9 Reference Frame .................................................................................... 17
Figure 10 Signal Processing ................................................................................. 18
Figure 11 Gravity intervention will change with the angle
[1] Marks AA. Manual of artificial limbs. New York: A.A. Marks Inc., 1905:17-20. [2] Ayyappa E, Mohamed O. Orthotics and prosthetics in rehabilitation. In: Lusardi M, ed. Clinical assessment of pathological gait. Newton, Mass.: Butterworth Heinemann, manuscript submitted for publication, September 1996. [3] http://stanfordmedicine25.stanford.edu/the25/gait.html
[4] Fahn S (1995) The freezing phenomenon in parkinsonism. Adv Neurol 67: 53–63
[5] Giladi N, McMahon D, Przedborski et al. (1992) Motor blocks in Parkinson’s disease. Neurology 42:333–339
[6] Giladi N (2001) Freezing of gait. Clinical overview. Adv Neurol 87:191–197
[7] Bloem BR, Hausdorff JM, Visser JE, Giladi N (2004) Falls and freezing of gait in Parkinson’s disease: a review of two interconnected, episodic phenomena. Mov Disord 19:871–884
[8] “Gait Disorders: Victhom Human Bionics.”
[9] “Gait Disorder,” The Free Dictionary.
[10] Boulgouris, N.K.; Hatzinakos, D.; Plataniotis, K.N. Gait recognition: A challenging signal processing technology for biometric identification. IEEE Signal Process. Mag. 2005, 22, 78–90.
[11] Watanabe, K.; Hokari, M. Kinematical analysis and measurement of sports form. IEEE Trans. Syst. Man Cybern. Part A 2006, 36, 549–557.
[12] Kwon, D.Y.; Gross, M. Combining body sensors and visual sensors for motion training. In Proceedings of the 2005 ACM SIGCHI International Conference on Advances in Computer Technology, Valencia, Spain, 15–17 June 2005; pp. 94–101.
[13] Wang, L.; Hu, W.; Tan, T. Recent developments in human motion analysis. Pattern Recognit. 2003, 36, 585–601.
[14] Wahab, Y.; Bakar, N.A. Gait analysis measurement for sport application based on ultrasonic system. In Proceeding of the IEEE 15th International Symposium on Consumer Electronics, Singapore, 14–17 June 2011.
[15] Steultjens, M.P.M.; Dekker, J.; van Baar, M.E.; Oostendorp, R.A.B.; Bijlsma, J.W.J. Range of joint motion and disability in patients with osteoarthritis of the knee or hip. Rheumatology 2000, 39, 955–961.
[16] Kimmeskamp, S.; Hennig, E.M. Heel to toe motion characteristics in parkinson patients during free walking. Clin. Biomech. 2001, 16, 806–812.
[17] Pope, M.H.; Bevins, T.; Wilder, D.G.; Frymoyer, J.W. The relationship between anthropometric,postural, muscular, and mobility characteristics of males ages 18–55. Spine 1985, 10, 644–648.
[18] Turcot, K.; Aissaoui, R.; Boivin, K.; Pelletier, M.; Hagemeister, N.; de Guise, J.A. New accelerometric method to discriminate between asymptomatic subjects and patients with medial knee osteoarthritis during 3‐D gait. IEEE Trans. Biomed. Eng. 2008, 55, 1415–1422.
[19] Moore, S.T.; MacDougall, H.G.; Ondo, W.G. Ambulatory monitoring of freezing of gait in Parkinson’s disease. J. Neurosci. Methods 2008, 167, 340–348.
[20] Salarian, A.; Russmann, H.; Vingerhoets, F.J.G.; Burkhard, P.R.; Aminian, K. Ambulatory monitoring of physical activities in patients with parkinson's disease. IEEE Trans. Biomed. Eng. 2007, 54, 2296–2299.
[21] Bonato, P. Wearable sensors/systems and their impact on biomedical engineering. Eng. Med. Biol. Mag. 2003, 22, 18–20.
[22] Engin, M.; Demirel, A.; Engin, E.Z.; Fedakar, M. Recent developments and trends in biomedical ensors. Measurement 2005, 37, 173–188.
[23] Parry, J. Gait Analysis Normal and Pathological Function; Slack Incorporated: Thorofare, NJ, USA, 1992.
[24] Zijsltra, W.; Aminian, K. Mobility assessment in older people: New possibilities and challenges. Eur. J. Aging 2007, 4, 3–12.
[25] journalsip.astm.org/JOURNALS/FORENSIC/PAGES/4706.htm
[26] geradts.com/html/Documents/gait.htm
[27] Ghasemzadeh, H.; Jafari, R. Sport training using body sensor networks: A statistical approach to measure wrist rotation for golf swing. In Proceedings of the Fourth International Conference on Body Area Networks (BodyNets 09), Los Angeles, CA, USA, 1–3 April 2009.
[28] Wahab, Y.; Bakar, N.A. Gait analysis measurement for sport application based on ultrasonic system. In Proceedings of the 2011 IEEE 15th International Symposium on Consumer Electronics, Singapore, 14–17 June 2011; pp. 20–24.
[29] Ghasemzadeh, H.; Jafari, R. Coordination analysis of human movements with body sensor networks: A signal processing model to evaluate baseball swings. IEEE Sens. J. 2011, 11,
603–610.
[30] De Silva, B.; Jan, A.N.; Motani, M.; Chua, K.C. A real‐time feedback utility with body sensor networks. In Proceedings of the 5th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 08), Hong Kong, 1–3 June 2008; pp. 49–53.
[31] Jacobs, R.; Feldmeier, M.; Paradiso, J.A. A mobile music environment using a PD compiler and wireless sensors. In Proceedings of the NIME 2008, Genoa, Italy, 5–7 June 2008; pp. 193–196.
[32] Gage, J.R.; Novacheck, T.F. An update on the treatment of gait problems in cerebral palsy. J. Pediatr. Orthop. Part B 2001, 10, 265–274.
[33] Cook, R.E.; Schneider, I.; Hazlewood, M.E.; Hillman, S.J.; Robb, J.E. Gait analysis alters decision‐making in cerebral palsy. J. Pediatr. Orthop. 2003, 23, 292–295.
[34] Filho, M.C.; Yoshida, R.; Carvalho Wda, S.; Stein, H.E.; Novo, N.F. Are the recommendations from three‐dimensional gait analysis associated with better postoperative outcomes in patients with cerebral palsy? Gait Posture 2008, 28, 316–322.
[35] Carney, B.T.; Oeffinger, D.; Gove, N.K. Sagittal knee kinematics after rectus femoris transfer without hamstring lengthening. J. Pediatr. Orthop. 2006, 26, 265–267.
[36] Salarian, A.; Russmann, H.; Vingerhoets, F.J.; Dehollain, C.; Blanc, Y.; Burkhard, P.R.; Aminian, K. Gait assessment in Parkinson’s disease: Toward an ambulatory system for long‐term monitoring. IEEE Trans. Biomed. Eng. 2004, 51, 1434–1443.
[37] Han, J.; Jeon, H.S.; Yi, W.J.; Jeon, B.S.; Park, K.S. Adaptive windowing for gait phase
[38] discrimination in Parkinsonian gait using 3‐axis acceleration signals. Med. Biol. Eng. Comput. 2009, 47, 1155–1164.
[39] Grandez, K.; Bustamante, P.; Solas, G.; Gurutzeaga, I.; Garcia‐Alonso, A. Wearable wireless ensor for the gait monitorization of parkinsonian patients. In Proceedings of the 16th IEEE International Conference on Electronics, Circuits, and Systems, Yasmine Hammamet, Tunisia, 13–16 December 2009; pp. 215–218.
[40] Lopez‐Meyer, P.; Fulk, G.D.; Sazonov, E.S. Automatic detection of temporal gait parameters in poststroke individuals. IEEE Trans. Inf. Technol. Biomed. 2011, 15, 594–600.
[41] Stokic, D.S.; Horn, T.S.; Ramshur, J.M.; Chow, J.W. Agreement between temporospatial gait parameters of an electronic walkway and a motion capture system in healthy and chronic stroke populations. Am. J. Phys. Med. Rehabil. 2009, 88, 437–444.
[42] Turcot, K.; Aissaoui, R.; Boivin, K.; Pelletier, M.; Hagemeister, N.; Guise, D. New accelerometric method to discriminate between asymptomatic subjects and patients with medial knee osteoarthritis during 3‐D gait. IEEE Trans. Biomed. Eng. 2008, 55, 1415–1422.
[43] ElSayed, M.; Alsebai, A.; Salaheldin, A.; El Gayar, N.; ElHelw, M. Ambient and wearable sensing for gait classification in pervasive healthcare environments. In Proceedings of the 12th IEEE International Conference on e‐Health Networking Applications and Services (Healthcom), Lyon, France, 1–3 July 2010; pp. 240–245.
[44] Verghese, J.; Lipton, R.; Hall, C.; Kuslansky, G.; Katz, M.; Buschke, H. Abnormality of gait as a predictor for non‐Alzheimer’s dementia. N. Engl. J. Med. 2002, 347, 1762–1768.
[45] “Arduino ‐ HomePage,” Ardiono, Nov. 2010.
[46] “FlexiForce®: Single Button Force Sensing Resistor,” FlexiForce Sensors, Nov. 2010.
[47] “http://store.invensense.com/datasheets/invensense/MPU‐3000A.pdf” MPU‐3050 Product Specification, Document Number: PS‐MPU‐3000A‐00 Revision: 2.9 Release Date: 11/14/2011
[48] “SparkFun Electronics ‐ Bluetooth Mate,” Bluetooth Mate Product Info, Nov. 2010.
[49]“http://www.aliexpress.com/item/Wholesale‐5pcs‐GP‐1604A‐PP3‐6LF22‐6LR61‐1604G‐6 F22‐9V‐Alkaline‐Battery‐Gold‐Freeshipping/1765585336.html”
[50] M. Batavia, J.G. Gianutsos, A. Vaccaro, and J.T. Gold, “A do‐it‐yourself
membrane‐activated auditory feedback device for weight bearing and gait training: A case report,” Archives of physical medicine and rehabilitation, vol. 82, 2001, pp. 541–545.
[51] Z. Pataky, L. Faravel, J. Da Silva, and J.P. Assal, “A new ambulatory foot pressure device for patients with sensory impairment. A system for continuous measurement 77 of plantar pressure and a feed‐back alarm,” Journal of Biomechanics, vol. 33, 2000, pp. 1135–1138.
[52] M. Batavia, J.G. Gianutsos, and M. Kambouris, “An augmented auditory feedback device,” Archives of physical medicine and rehabilitation, vol. 78, 1997, pp. 1389–1392.
[53] P.J. Aranzulla, D.S. Muckle, and J.L. Cunningham, “A portable monitoring system for measuring weight‐bearing during tibial fracture healing,” Medical Engineering and Physics, vol. 20, 1998, pp. 543–548.
[54] “novel ‐ product info ‐ systems ‐ pedar,” Pedar Homepage, Aug. 2010.
[55] M. Chen, B. Huang, and Y. Xu, “Intelligent shoes for abnormal gait detection,” Proceedings of IEEE International Conference on Robotics and Automation (ICRA’08), pp. 2019–2024.
[56] B. Huang, M. Chen, W. Ye, and Y. Xu, “Intelligent Shoes for Human Identification,” IEEE International Conference on Robotics and Biomimetics, 2006. ROBIO'06, 2006, pp. 601–606.
[57] S.J. Bamberg, A.Y. Benbasat, D.M. Scarborough, D.E. Krebs, and J.A. Paradiso, “Gait analysis using a shoe‐integrated wireless sensor system,” IEEE Transactions
[58] R.E. Morley Jr, E.J. Richter, J.W. Klaesner, K.S. Maluf, and M.J. Mueller, “In‐shoe multisensory data acquisition system,” IEEE Transactions on Biomedical Engineering, vol. 48, 2001, pp. 815–820.
[59] R. Williamson, B.J. Andrews, S. Sight, and C.A. Valencia, “Gait event detection for FES using accelerometers and supervisedmachine learning,” IEEE Transactions on Rehabilitation Engineering, vol. 8, 2000, pp. 312–319.
[60] J.C. L\ötters, J. Schipper, P.H. Veltink, W. Olthuis, and P. Bergveld, “Procedure for in‐use calibration of triaxial accelerometers in medical applications,” Sensors & Actuators: A. Physical, vol. 68, 1998, pp. 221–228.
[61] C.V.C. Bouten, K.T.M. Koekkoek, M. Verduin, R. Kodde, and J.D. Janssen, “A triaxial accelerometer and portable data processing unit for theassessment of daily physical activity,” IEEE Transactions on Biomedical Engineering, vol. 44, 1997, pp. 136–147.
[62] I.P.I. Pappas, T. Keller, and S. Mangold, “A reliable, gyroscope based gait phase detection sensor embedded in a shoe insole,” Sensors, 2002. Proceedings of IEEE, 2002.
[63] I. Pappas, T. Keller, and M.R. Popovic, “Experimental evaluation of the gyroscope sensor used in a new gait phase detection system,” Proc 4th Ann Conf Int Functional Electrical Stimulation Society, pp. 143–146.
[64] A.M. Sabatini, C. Martelloni, S. Scapellato, F. Cavallo, S.S. Sant'Anna, and I. Pisa, “Assessment of walking features from foot inertial sensing,” IEEE Transactions on biomedical engineering, vol. 52, 2005, pp. 486–494.
[65] K. Aminian, B. Najafi, C. B\üla, P.F. Leyvraz, and P. Robert, “Spatio‐temporal parameters of gait measured by an ambulatory system using miniature gyroscopes,” Journal of Biomechanics, vol. 35, 2002, pp. 689–699.
[66] K. Tong and M.H. Granat, “A practical gait analysis system using gyroscopes,” Medical Engineering and Physics, vol. 21, 1999, pp. 87–94.
[67] S.J. Morris and J.A. Paradiso, “Shoe‐integrated sensor system for wireless gait analysis and real‐time feedback,” Proceedings of the 2nd Joint IEEE EMBS (Engineering in Medicine and Biology Society) and BMES (the Biomedical Engineering Society) Conference, 2002, pp. 2468–2469.
[68] “Gyroscope ‐ Wikipedia, the free encyclopedia,” Gyroscope, Aug. 2010.
[69] “Image of 3D Gyroscope ‐ Wikipedia, the free encyclopedia,” 3D Gyroscope.
[70] “Product > Speciality Products > Piezoelectric Devices2 > Piezoelectric Devices >ceramic gyro.”
[71] “Accelerometer ‐ Wikipedia, the free encyclopedia,” Accelerometer, Aug. 2010.
[72] “Electronics‐Lab.com Blog » Blog Archive » Using an ADXL330 accelerometer with an AVR microcontroller.”
[73] “Accelerometers | Accelerometers for sale | Accelerometer calibration,” Accelerometers, Aug. 2010.
[74] “Force‐Sensing Resistor ‐ Wikipedia, the free encyclopedia,” Force‐Sensing Resistor, Aug. 2010.
[75] Luinge, H.J.; Veltink, P.H. Inclination measurement of human movement using a 3-D accelerometer with autocalibration. IEEE Trans. Rehabil. Eng. 2004, 12, 112–121.
[76] Observational Gait Analysis Handbook; The Professional Staff Association of Rancho Los Amigos Medical Center: Downey, CA, USA, 1989.
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