| 研究生: |
徐瑞育 Jui-Yu Hsu |
|---|---|
| 論文名稱: |
多通道慣性感測步態參數分析改善暨驗證並於下肢義肢穿戴者臨床收案研究 Improvement and validation of multi-channel inertia measurement and gait parameters analysis, and the study of its use on lower limb prosthesis wearers |
| 指導教授: | 潘敏俊 |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 機械工程學系 Department of Mechanical Engineering |
| 論文出版年: | 2022 |
| 畢業學年度: | 110 |
| 語文別: | 中文 |
| 論文頁數: | 96 |
| 中文關鍵詞: | 無線慣性感測器 、尤拉角 、四元數 、旋轉矩陣 、傅立葉分析 、零速更新法 |
| 外文關鍵詞: | Wireless-IMU, Euler angle, Quaternion, Rotation Matrix, Fourier Analysis, ZUPT |
| 相關次數: | 點閱:24 下載:0 |
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每年全世界的截肢人數因意外事故、疾病或老化逐年攀升,但是由於設備價格及人員短缺,導致開發中國家仍有75%的人尚未使用義肢,為了降低人員訓練的時間及門檻,一套便於使用且準確的量測系統便成為重要的議題。本研究目的在於建立一套能夠便於擷取義肢穿戴者下肢步行步態的裝置與系統,協助使用者及專業人員能容易且客觀的分析下肢姿態;透過安裝7組Wi-Fi無線慣性感測器於受試者下肢(包含腰部、左右大腿下外側、左右小腿下外側以及左右腳背處等),擷取行走時的線加速度及角速度,分析受試者下肢行走軌跡及步態參數,包含骨盆水平面、矢狀面旋活動角度,髖、膝及踝關節屈曲角度、身體橫向位移等,提供醫師或義肢矯具師量化結果,方便客觀地評估患者復健及穿戴適當性,利於復健計畫修正及義肢調整。
考量先前演算方式不周全,導致需要費時比對及可能誤差,本研究提出3種修正演算法,包括(1)根據用行走特徵,將誤置座標方位的慣性感測器修正為正確的座標系統,結果能修正誤置所造成不合理的活動角度與肢體動作; (2)利用踝關節腳背傾斜補償演算法,將腳背上IMU從傾斜狀態修正為水平,校正後能改善傾斜所帶來的誤差,能夠傾斜誤差降低到1度以下; (3)根據傅立葉分析原則,消除直流分量與雜訊,相比實驗室先前使用的Madgwick演算法降低了1度左右的誤差。藉由上述修正演算法能提高計算準確度,有利於醫師或義肢裝具師正確判讀受試者的運動姿態與步態軌跡。
研究中分別以商用機器手臂、旋轉平台、及激振器驗證本系統之信度與效度。在機械手臂實驗,二維運動軌跡誤差百分比為1.36 – 1.7%,三維運動軌跡則介於2.86 – 2.97%;旋轉平台實驗的陀螺儀每軸RMSE小於0.73°;激振器實驗的加速規每軸RMSE小於0.03 g。
研究中收錄5位膝上與9位膝下義肢穿戴受試者10m步行實驗的慣性感測資料及計算其步態參數,分組分析(1)骨盆旋轉角度、(2)骨盆傾斜角度、(3)膝關節站立期的背屈角度、(4)踝關節機構、及(5)身體航向位移。結果顯示義肢穿戴者骨盆水平面與矢狀面的穩定性較差,旋轉與傾斜角度範圍較大,分別為 14.7°與 6.4°;因代償作用導致膝上與膝下義肢穿戴受試者的患側膝關節ROM分別為 52.6°與 45°,略大於健側;患側踝關節ROM會受義肢限制,分別為22.7°與 22.1°,略小於健側。
The number of amputees worldwide is increasing every year due to accidents, diseases, and aging, but 75% of people in developing countries still do not use prostheses due to the cost of equipment and shortage of personnel. The purpose of this study is to develop a device and system that can easily capture the walking gait of the lower extremities of prosthesis wearers, to help users and professionals to analyze the lower extremity posture easily and objectively. The walking trajectory and gait parameters of the subject's lower extremities are analyzed, including the pelvic horizontal and sagittal plane rotation angles, hip, knee, and ankle flexion angles, and lateral body of displacement, etc. The results are quantified by the physician or prosthetist to facilitate objective assessment of the patient's rehabilitation and wear appropriateness for revise rehabilitation project and prosthetic adjustment.
In view of the time consuming comparison and possible errors caused by the incomplete calculation methods, this study proposes three correction algorithms, including (1) The inertial sensors with misaligned coordinates were corrected to the correct coordinates system based on the walking characteristics, which resulted in the correction of unreasonable movement angles and limb movements caused by the misalignment; (2) The ankle dorsal foot tilt compensation algorithm was used to correct the IMU on the dorsal foot from tilt to horizontal, which improved the error caused by tilt and reduced the tilt error to less than 1 degree; (3) The Fourier analysis principle was used to eliminate DC components and noise, which reduced the error by about 1 degree compared with the Madgwick algorithm previously used in the laboratory. The above correction algorithm can improve the accuracy of calculation and facilitate the physician or prosthetist to correctly interpret the subject's motion and gait trajectory.
The reliability and validity of the system were verified with a commercial robotic arm, a rotating platform, and a shaker. In the robotic arm experiment, the percentage error of the 2D motion trajectory was between 1.36 - 1.7%, and the 3D motion trajectory was between 2.86 - 2.97%; the RMSE of the gyroscope was less than 0.73° per axis in the rotating platform experiment; and the RMSE of the accelerometer was less than 0.03 g per axis in the shaker experiment.
The inertial and gait parameters of the 10m walking experiment were collected from five above-knee and five below-knee prostheses subjects and analyzed in groups for (1) pelvic rotation, (2) pelvic tilt, (3) knee flexion in stance phase, (4) ankle mechanism, and (5) lateral displacement of body. The results showed that the prosthesis wearers had poor stability in the horizontal and sagittal planes of the pelvis, with rotation and tilt angles of 14.7° and 6.4°, respectively; the above-knee and below-knee prosthesis wearers had a slightly greater knee ROM of 52.6° and 45°, respectively, than the healthy side due to compensatory effects; the affected ankle ROM was limited by the prosthesis at 22.7° and 22.1°, respectively, slightly less than the healthy side. The ankle ROM on the affected side was slightly smaller than that on the healthy side at 22.7° and 22.1° respectively.
[1] WHO. "Governments to agree increased focus on people with disabilities in development strategies." https://www.who.int/news/item/20-09-2013-governments-to-agree-increased-focus-on-people-with-disabilities-in-development-strategies (accessed.
[2] E. Jacobs, R. Senden, C. McCrum, L. W. van Rhijn, K. Meijer, and P. C. Willems, "Effect of a semirigid thoracolumbar orthosis on gait and sagittal alignment in patients with an osteoporotic vertebral compression fracture," Clin Interv Aging, vol. 14, pp. 671-680, 2019, doi: 10.2147/CIA.S199853.
[3] G. Bastas, J. Fleck, R. Peters, and K. Zelik, "IMU-Based Gait Analysis in Lower Limb Prosthesis Users: Comparison of Step Demarcation Algorithms," Gait & Posture, vol. 64, pp. 30-37, 2018, doi: 10.1016/j.gaitpost.2018.05.025.
[4] A. Hölzemann and K. V. Laerhoven, "Using Wrist-Worn Activity Recognition for Basketball Game Analysis," presented at the Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction, Berlin, Germany, 2018.
[5] C. R. Lopez Perales et al., "Mobile health applications for the detection of atrial fibrillation: a systematic review," EP Europace, vol. 23, no. 1, pp. 11-28, 2021.
[6] 蔡孟霖, "基於多無線慣性感測器之步態分析與行走軌跡重建系統研究," 國立中央大學碩士論文, 2021.
[7] H. Zhou and H. Hu, "Human motion tracking for rehabilitation—A survey," Biomedical Signal Processing and Control, vol. 3, pp. 1-18, 2008, doi: 10.1016/j.bspc.2007.09.001.
[8] G. Welch and E. Foxlin, "Motion tracking: No silver bullet, but a respectable arsenal," IEEE Computer graphics and Applications, vol. 22, no. 6, pp. 24-38, 2002.
[9] A. Filippeschi, N. Schmitz, M. Miezal, G. Bleser, E. Ruffaldi, and D. Stricker, "Survey of motion tracking methods based on inertial sensors: A focus on upper limb human motion," Sensors, vol. 17, no. 6, p. 1257, 2017.
[10] R. Zhu and Z. Zhou, "A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package," IEEE Transactions on Neural systems and rehabilitation engineering, vol. 12, no. 2, pp. 295-302, 2004.
[11] G. Bleser, G. Hendeby, and M. Miezal, "Using egocentric vision to achieve robust inertial body tracking under magnetic disturbances," in 2011 10th IEEE International Symposium on Mixed and Augmented Reality, 2011: IEEE, pp. 103-109.
[12] A. D. Young, "Use of body model constraints to improve accuracy of inertial motion capture," in 2010 International Conference on Body Sensor Networks, 2010: IEEE, pp. 180-186.
[13] S. O. H. Madgwick, A. J. L. Harrison, and A. Vaidyanathan, "Estimation of IMU and MARG orientation using a gradient descent algorithm," in IEEE International Conference on Rehabilitation Robotics, 2011, pp. 179-185, doi: 10.1109/icorr.2011.5975346. [Online]. Available: http://europepmc.org/abstract/MED/22275550
https://doi.org/10.1109/ICORR.2011.5975346
[14] I. Skog and P. Händel, "Calibration of a MEMS inertial measurement unit," in XVII IMEKO world congress, 2006: Citeseer, pp. 1-6.
[15] W. Fong, S. Ong, and A. Nee, "Methods for in-field user calibration of an inertial measurement unit without external equipment," Measurement Science and technology, vol. 19, no. 8, p. 085202, 2008.
[16] J. Favre, B. Jolles, R. Aissaoui, and K. Aminian, "Ambulatory measurement of 3D knee joint angle," Journal of biomechanics, vol. 41, no. 5, pp. 1029-1035, 2008.
[17] T. Seel, J. Raisch, and T. Schauer, "IMU-based joint angle measurement for gait analysis," Sensors (Basel), vol. 14, no. 4, pp. 6891-909, Apr 16 2014, doi: 10.3390/s140406891.
[18] L. Zhou et al., "How We Found Our IMU: Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications," Sensors, vol. 20, no. 15, p. 4090, 2020. [Online]. Available: https://www.mdpi.com/1424-8220/20/15/4090.
[19] P. Chinmilli, S. Redkar, W. Zhang, and T. Sugar, "A review on wearable inertial tracking based human gait analysis and control strategies of lower-limb exoskeletons," Int. Robot. Autom. J, vol. 3, no. 7, p. 00080, 2017.
[20] EPSON. "Gyro sensors -How they work and what's ahead." https://www5.epsondevice.com/en/information/technical_info/gyro/index.html (accessed 2022).
[21] D. De Guglielmo, S. Brienza, and G. Anastasi, "IEEE 802.15. 4e: A survey," Computer Communications, vol. 88, pp. 1-24, 2016.
[22] F. Wilhelmi, S. Barrachina-Muñoz, C. Cano, I. Selinis, and B. Bellalta, "Spatial reuse in IEEE 802.11 ax WLANs," Computer Communications, vol. 170, pp. 65-83, 2021.
[23] E. Ferro and F. Potorti, "Bluetooth and Wi-Fi wireless protocols: a survey and a comparison," IEEE Wireless Communications, vol. 12, no. 1, pp. 12-26, 2005.
[24] I. S. Association, "754-2019-IEEE Standard for Floating-Point Arithmetic," ed: IEEE, 2019.
[25] S. O. H. Madgwick, "Quaternions," 2011.
[26] H. Dass, Advanced engineering mathematics. S. Chand Publishing, 2008.
[27] B. N. Flury and W. Gautschi, "An Algorithm for Simultaneous Orthogonal Transformation of Several Positive Definite Symmetric Matrices to Nearly Diagonal Form," SIAM Journal on Scientific and Statistical Computing, vol. 7, no. 1, pp. 169-184, 1986, doi: 10.1137/0907013.
[28] R. N. Bracewell and R. N. Bracewell, The Fourier transform and its applications. McGraw-Hill New York, 1986.
[29] A. Prosperetti, Advanced mathematics for applications. Cambridge University Press, 2011.
[30] H. Y. Rui Zhang, Fabian Hoflinger and Leonhard M. Reindl, "Personal Dead-reckoning System for GPS-denied Environments," IEEE Department of Microsystems Engineering, 2007, doi: 10.1109/SSRR.2007.4381271.
[31] I. S. John-Olof Nilsson, Peter Händel, K.V.S. Hari, "Foot-Mounted INS for Everybody -- An Open-Source Embedded Implementation," IEEE Symposium on Position Location and Navigation, 2012, doi: 10.1109/PLANS.2012.6236875.
[32] E. M. Diaz, D. B. Ahmed, and S. Kaiser, "A review of indoor localization methods based on inertial sensors," Geographical and Fingerprinting Data to Create Systems for Indoor Positioning and Indoor/Outdoor Navigation, pp. 311-333, 2019.
[33] T. Stockel, R. Jacksteit, M. Behrens, R. Skripitz, R. Bader, and A. Mau-Moeller, "The mental representation of the human gait in young and older adults," Front Psychol, vol. 6, p. 943, 2015, doi: 10.3389/fpsyg.2015.00943.
[34] Z. Salo, M. Beek, D. Wright, A. Maloul, and C. M. Whyne, "Analysis of pelvic strain in different gait configurations in a validated cohort of computed tomography based finite element models," J Biomech, vol. 64, pp. 120-130, Nov 7 2017, doi: 10.1016/j.jbiomech.2017.09.014.
[35] M. W. Whittle, Gait analysis: an introduction. Butterworth-Heinemann, 2014.
[36] F. Danion, E. Varraine, M. Bonnard, and J. Pailhous, "Stride variability in human gait: the effect of stride frequency and stride length," Gait & posture, vol. 18, no. 1, pp. 69-77, 2003.
[37] D. A. Winter et al., "Kinematics of normal locomotion—a statistical study based on TV data," Journal of biomechanics, vol. 7, no. 6, pp. 479-486, 1974.
[38] M. Jacquelin Perry, "Gait analysis: normal and pathological function," New Jersey: SLACK, 2010.
[39] T. Long and M. Johnson, "Rigour, reliability and validity in qualitative research," Clinical Effectiveness in Nursing, vol. 4, no. 1, pp. 30-37, 2000, doi: https://doi.org/10.1054/cein.2000.0106.
[40] O. C. Hee, "Validity and Reliability of the Customer-Oriented Behaviour Scale in the Health Tourism Hospitals in Malaysia," International Journal of Caring Sciences, vol. 7, no. 3, 2014.
[41] 坦聯. "電動精密旋轉平台." https://www.tanlian.tw/PRODUCTS.files/motorr.htm (accessed.
[42] ABB, Robotics IRB 120 Product specification. Asea Brown Boveri, 2021.
[43] I. M. Saunders, Howard D, "The major determinants in normal and pathological gait," JBJS, vol. 35, no. 3, pp. 543-558, 1953.
[44] S. Pheasant, "A Review of:“Human Walking”. By VT INMAN, HJ RALSTON and F. TODD.(Baltimore, London: Williams & Wilkins, 1981.)[Pp. 154.]," Ergonomics, vol. 24, no. 12, pp. 969-976, 1981.
[45] J. A. Blaya, "Force-controllable ankle foot orthosis (AFO) to assist drop foot gait," Massachusetts Institute of Technology, 2002.
[46] C. A. Laughton et al., "Aging, muscle activity, and balance control: physiologic changes associated with balance impairment," Gait & posture, vol. 18, no. 2, pp. 101-108, 2003.
[47] H. J. Van Bosse, D. Lee, E. R. Henderson, D. A. Sala, and D. S. Feldman, "Pelvic positioning creates error in CT acetabular measurements," Clinical Orthopaedics and Related Research®, vol. 469, no. 6, pp. 1683-1691, 2011.
[48] H. Goujon-Pillet, E. Sapin, P. Fodé, and F. Lavaste, "Three-Dimensional Motions of Trunk and Pelvis During Transfemoral Amputee Gait," Archives of Physical Medicine and Rehabilitation, vol. 89, no. 1, pp. 87-94, 2008, doi: https://doi.org/10.1016/j.apmr.2007.08.136.
[49] U. Della Croce, P. O. Riley, J. L. Lelas, and D. C. Kerrigan, "A refined view of the determinants of gait," Gait & posture, vol. 14, no. 2, pp. 79-84, 2001.
[50] D. C. Kerrigan, P. O. Riley, J. L. Lelas, and U. Della Croce, "Quantification of pelvic rotation as a determinant of gait," Archives of physical medicine and rehabilitation, vol. 82, no. 2, pp. 217-220, 2001.
[51] S. B. Michaud, S. A. Gard, and D. S. Childress, "A preliminary investigation of pelvic obliquity patterns during gait in persons with transtibial and transfemoral amputation," Journal of Rehabilitation Research and Development, vol. 37, no. 1, pp. 1-10, 2000.
[52] S. A. Gard and D. S. Childress, "The influence of stance-phase knee flexion on the vertical displacement of the trunk during normal walking," Archives of physical medicine and rehabilitation, vol. 80, no. 1, pp. 26-32, 1999.
[53] J. L. Robinson, G. L. Smidt, and J. S. Arora, "Accelerographic, Temporal, and Distance Gait: Factors in Below-Knee Amputees," Physical Therapy, vol. 57, no. 8, pp. 898-904, 1977, doi: 10.1093/ptj/57.8.898.
[54] G. Orekhov, A. M. Robinson, S. J. Hazelwood, and S. M. Klisch, "Knee joint biomechanics in transtibial amputees in gait, cycling, and elliptical training," PLoS ONE, vol. 14, no. 12, pp. 1-16, 2019.
[55] N. Vanicek, S. Strike, L. McNaughton, and R. Polman, "Gait patterns in transtibial amputee fallers vs. non-fallers: Biomechanical differences during level walking," Gait & Posture, vol. 29, no. 3, pp. 415-420, 2009, doi: https://doi.org/10.1016/j.gaitpost.2008.10.062.
[56] L. L. McNealy and S. A. Gard, "Effect of prosthetic ankle units on the gait of persons with bilateral trans-femoral amputations," Prosthetics and orthotics international, vol. 32, no. 1, pp. 111-126, 2008.
[57] A. K. Silverman and R. R. Neptune, "Muscle and prosthesis contributions to amputee walking mechanics: a modeling study," Journal of biomechanics, vol. 45, no. 13, pp. 2271-2278, 2012.
[58] M. Nankaku et al., "Gait analysis of patients in early stages after total hip arthroplasty: effect of lateral trunk displacement on walking efficiency," Journal of Orthopaedic Science, vol. 12, no. 6, pp. 550-554, 2007.