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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 機械工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90508
完整後設資料紀錄
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dc.contributor.advisor王富正zh_TW
dc.contributor.advisorFu-Cheng Wangen
dc.contributor.author陳胤傑zh_TW
dc.contributor.authorTan Yin Keaten
dc.date.accessioned2023-10-03T16:24:13Z-
dc.date.available2023-11-10-
dc.date.copyright2023-10-03-
dc.date.issued2023-
dc.date.submitted2023-08-12-
dc.identifier.citation1. Organization, W.H. WHO 2019年十大死因. 2019; Available from: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death.
2. Welfare, M.o.H.a. 中華民國每年中風人數. 2020; Available from: https://www.mohw.gov.tw/lp-5256-2.html.
3. Vij, J. and N. Multani, Efficacy of neuro-developmental therapy based gait training in correction of gait pattern of post stroke hemiparetic patients. Journal of Exercise Science and Physiotherapy, 2012. 8(1): p. 30-38.
4. Kalaichandran, K. and D. SWARNAKUMARI, Neuro Developmental Treatment (NDT) for Cerebral Palsy:-A Clinical Study. International Journal of Innovative Science and Research Technology, 2019. 4(5): p. 33-34.
5. Mikołajewska, E., The value of the NDT-Bobath method in post-stroke gait training. Adv Clin Exp Med, 2013. 22(2): p. 261-272.
6. Lennon, S., A. Ashburn, and D. Baxter, Gait outcome following outpatient physiotherapy based on the Bobath concept in people post stroke. Disability and rehabilitation, 2006. 28(13-14): p. 873-881.
7. Pohl, M., et al., Speed-dependent treadmill training in ambulatory hemiparetic stroke patients: a randomized controlled trial. Stroke, 2002. 33(2): p. 553-558.
8. Visintin, M., et al., A new approach to retrain gait in stroke patients through body weight support and treadmill stimulation. Stroke, 1998. 29(6): p. 1122-1128.
9. Hesse, S., et al., Treadmill training with partial body weight support compared with physiotherapy in nonambulatory hemiparetic patients. Stroke, 1995. 26(6): p. 976-981.
10. Wang, F.-C., et al., Development of an automated assistive trainer inspired by neuro-developmental treatment. Sensors and Materials, 2020. 32(9): p. 3019-3037.
11. Wang, F.-C., et al., Online gait detection with an automatic mobile trainer inspired by neuro-developmental treatment. Sensors, 2020. 20(12): p. 3389.
12. Skerjanc, A. and M.D. Fikfak, Sickness presence and stressful life events of health care workers. Central european journal of public health, 2015. 23(3): p. 240.
13. The Health Benefits of Yoga and Exercise: A Review of Comparison Studies. The Journal of Alternative and Complementary Medicine, 2010. 16(1): p. 3-12.
14. Díaz, I., J.J. Gil, and E. Sánchez, Lower-limb robotic rehabilitation: literature review and challenges. Journal of Robotics, 2011. 2011.
15. Colombo, G., et al., Treadmill training of paraplegic patients using a robotic orthosis. Journal of rehabilitation research and development, 2000. 37(6): p. 693-700.
16. Yano, H., et al. Gait rehabilitation system for stair climbing and descending. in 2010 IEEE Haptics Symposium. 2010. IEEE.
17. Patton, J., et al., KineAssist: design and development of a robotic overground gait and balance therapy device. Topics in stroke rehabilitation, 2008. 15(2): p. 131-139.
18. Schmitt, C. and P. Métrailler. The Motion Maker™: a rehabilitation system combining an orthosis with closed-loop electrical muscle stimulation. in 8th Vienna international workshop on functional electrical stimulation. 2004.
19. Roy, A., et al. Measurement of human ankle stiffness using the anklebot. in 2007 IEEE 10th International Conference on Rehabilitation Robotics. 2007. IEEE.
20. Inc, P.T. Phoenix Technologies Inc. VZ4000 tracker. Available from: http://www.ptiphoenix.com/?prod-trackers-post=vz4000.
21. Panebianco, G.P., et al., Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements. Gait & posture, 2018. 66: p. 76-82.
22. Patterson, K.K., et al., Gait asymmetry in community-ambulating stroke survivors. Archives of physical medicine and rehabilitation, 2008. 89(2): p. 304-310.
23. Allen, J.L., S.A. Kautz, and R.R. Neptune, Step length asymmetry is representative of compensatory mechanisms used in post-stroke hemiparetic walking. Gait & posture, 2011. 33(4): p. 538-543.
24. Studenski, S., et al., Gait speed and survival in older adults. Jama, 2011. 305(1): p. 50-58.
25. Savelberg, H. and A. De Lange, Assessment of the horizontal, fore-aft component of the ground reaction force from insole pressure patterns by using artificial neural networks. Clinical Biomechanics, 1999. 14(8): p. 585-592.
26. Johnston, W., et al. Objective classification of dynamic balance using a single wearable sensor. in 4th International Congress on Sport Sciences Research and Technology Support 2016, Porto, Portugal, 7-9 November 2016. 2016. SCITEPRESS–Science and Technology Publications.
27. Ghislieri, M., et al., Wearable inertial sensors to assess standing balance: A systematic review. Sensors, 2019. 19(19): p. 4075.
28. 林育佑, "自動化神經發展治療步態訓練機之研發," 碩士論文, 機械工程學研究所, 國立臺灣大學. 2019.
29. 原煒, "基於神經發展治療及深度學習之自動化步態訓練機研發," 碩士論文, 機械工程學研究所, 國立臺灣大學. 2019.
30. 李友棋, "基於神經發展治療及深度學習之移動式自動化步態訓練機研發," 碩士論文, 機械工程學研究所, 國立臺灣大學. 2020.
31. 吳凱麟, "移動式自動化神經發展治療步態訓練機之研發," 碩士論文, 機械工程學研究所, 國立臺灣大學. 2018.
32. 郭典昀, ”步態分析於自動步態訓練機及巴金森氏症辨識之應用“碩士論文, 機械工程學研究所, 國立臺灣大學.
. 2021.
33. 施至仁, “臨床自動化中風步態訓練與運動效果分析”碩士論文,國立台灣大學. 2022.
34. Arduino. Arduino. ARDUINO MEGA 2560. Available from: https://store.arduino.cc/usa/arduino-mega-2560-rev3.
35. Atmel. Atmel. Atmel ATmega640/V-1280/V-1281/V-2560/V-2561/V Data Sheet. Available from: https://ww1.microchip.com/downloads/en/devicedoc/atmel-2549-8-bit-avr-microcontroller-atmega640-1280-1281-2560-2561_datasheet.pdf.
36. Hanmark. 5-Phase Stepper Motor & Micro Stepping Motor Driver. Available from: http://www.hanmark.com.tw/pro_detail.asp?s_no=8.
37. 漢馬克驅動科技有限公司. MAC5518、MAC5528使用說明書. Available from: http://www.hanmark.com.tw/pdf/MAC55X8_manu_1111291421.pdf.
38. Transducer. Transducer. Mini low profile load cell. Available from: https://www.transducertechniques.com/mlp-load-cell.aspx.
39. Transducer. Transducer. DIGITAL PANEL MOUNT METER OPERATOR MANUAL. Available from: https://restutech.com/pdf/2019/N30U_service_manual_for_firmware_from_2_00_rev_B.pdf.
40. Transducer. Transducer. Smart Digital Panel Mount Load Cell Meter. Available from: https://www.transducertechniques.com/dpm-3.aspx.
41. Gouwanda, D. and S. Senanayake. Emerging trends of body-mounted sensors in sports and human gait analysis. in 4th Kuala Lumpur International Conference on Biomedical Engineering 2008: BIOMED 2008 25–28 June 2008 Kuala Lumpur, Malaysia. 2008. Springer Berlin Heidelberg.
42. Storm, F.A., C.J. Buckley, and C. Mazzà, Gait event detection in laboratory and real life settings: Accuracy of ankle and waist sensor based methods. Gait & posture, 2016. 50: p. 42-46.
43. APDM, I. APDM, INC.OPAL USER GUIDE. Available from: https://www.apdm.com.
44. Millay, W. WXXY Millay. WXY31 Encoder. Available from: http://www.wxxy-lz.com/index.php?ac=show&classid=29&id=118.
45. Well, M. Mean Well. LRS-75-24 Datasheet. Available from: https://pdf1.alldatasheet.com/datasheet-pdf/view/825053/MEANWELL/LRS-75-24.html.
46. SHARP GP2Y0A21YK0F 紅外線距離感測器 Analog 測距感測器 測量範圍10~80cm. Available from: https://global.sharp/products/device/lineup/data/pdf/datasheet/gp2y0a21yk_e.pdf.
47. Trumman. Brushless DC Motor. Available from: https://www.trumman.com.tw/2016products/EV.html.
48. Trumman. Brushless DC Motor Datasheet. Available from: https://gearfeng.wixsite.com/trummantech/SupDownload/EV.
49. Fotakopoulos, G. and P. Kotlia, The value of exercise rehabilitation program accompanied by experiential music for recovery of cognitive and motor skills in stroke patients. Journal of Stroke and Cerebrovascular Diseases, 2018. 27(11): p. 2932-2939.
50. Song, G.-b. and H.J. Ryu, Effects of gait training with rhythmic auditory stimulation on gait ability in stroke patients. Journal of physical therapy science, 2016. 28(5): p. 1403-1406.
51. Keyes. keyes KE-002 buzzer. Available from: https://robotkingdom.com.tw/product/keyes-buzzer/.
52. Khan, M.E. and F. Khan, A comparative study of white box, black box and grey box testing techniques. International Journal of Advanced Computer Science and Applications, 2012. 3(6).
53. Sun, L., H. Ohmori, and A. Sano. Direct closed-loop identification approach to unstable plant. in Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No. 00CH37187). 2000. IEEE.
54. Zhou, K. and J.C. Doyle, Essentials of robust control. Vol. 104. 1998: Prentice hall Upper Saddle River, NJ.
55. Doyle, J.C., B.A. Francis, and A.R. Tannenbaum, Feedback control theory. 2013: Courier Corporation.
56. McFarlane, D.C. and K. Glover, Robust controller design using normalized coprime factor plant descriptions. 1990: Springer.
57. Wang, F.-C., et al., Robust loop-shaping control for a nano-positioning stage. Journal of Vibration and Control, 2014. 20(6): p. 885-900.
58. Glover, K. and D. McFarlane, Robust stabilization of normalized coprime factor plant descriptions with H/sub infinity/-bounded uncertainty. IEEE transactions on automatic control, 1989. 34(8): p. 821-830.
59. Brigham, E.O., The fast Fourier transform and its applications. 1988: Prentice-Hall, Inc.
60. Pirker, W. and R. Katzenschlager, Gait disorders in adults and the elderly. Wiener Klinische Wochenschrift, 2017. 129(3): p. 81-95.
61. Yun, X., et al., Estimation of human foot motion during normal walking using inertial and magnetic sensor measurements. IEEE transactions on Instrumentation and Measurement, 2012. 61(7): p. 2059-2072.
62. Rebula, J.R., et al., Measurement of foot placement and its variability with inertial sensors. Gait & posture, 2013. 38(4): p. 974-980.
63. Aminian, K., et al., Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes. Journal of biomechanics, 2002. 35(5): p. 689-699.
64. Graves, A., Long short-term memory. Supervised sequence labelling with recurrent neural networks, 2012: p. 37-45.
65. Wang, F.-C., et al., Real-Time Detection of Gait Events by Recurrent Neural Networks. IEEE Access, 2021. 9: p. 134849-134857.
66. Wall, J.C. and G.I. Turnbull, Gait asymmetries in residual hemiplegia. Archives of physical medicine and rehabilitation, 1986. 67(8): p. 550-553.
67. Brandstater, M.E., et al., Hemiplegic gait: analysis of temporal variables. Archives of physical medicine and rehabilitation, 1983. 64(12): p. 583-587.
68. Dodd, K.J. and M.E. Morris, Lateral pelvic displacement during gait: abnormalities after stroke and changes during the first month of rehabilitation. Archives of physical medicine and rehabilitation, 2003. 84(8): p. 1200-1205.
69. Dodd, K., et al., Lateral pelvic displacement during walking: retest reliability of a new method of measurement. Gait & posture, 1998. 7(3): p. 243-250.
70. Johnson-Schmid, M., Adult Hemiplegia: Evaluation and Treatment. 1991, The American Occupational Therapy Association, Inc.
71. Hsu, C.-J., et al., Applying a pelvic corrective force induces forced use of the paretic leg and improves paretic leg EMG activities of individuals post-stroke during treadmill walking. Clinical neurophysiology, 2017. 128(10): p. 1915-1922.
72. Carr, J.H. and R.B. Shepherd, A motor relearning programme for stroke. 1987: Aspen Pub.
73. Li, M., et al. Efficient mini-batch training for stochastic optimization. in Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 2014.
74. Saebo. Saebo. The Brunnstrom Stages of Stroke Recovery. Available from: https://www.saebo.com/the-stages-of-stroke-recovery/.
75. Tandem Gait. Available from: https://myendoconsult.com/learn/tandem-gait-heel-to-toe-test/.
76. Kim, T.K., T test as a parametric statistic. Korean journal of anesthesiology, 2015. 68(6): p. 540-546.
77. Weisstein, E. W. (2003). Heron's formula. https://mathworld. wolfram. com/.
78. Stewart, J.D. Foot drop: where, why and what to do? Practical neurology 2008, 8(3), 158-169.
79. Kerrigan, D.C.;Frates, E.P.;Rogan, S.;Riley, P.O. Hip hiking and circumduction: quantitative definitions. American journal of physical medicine & rehabilitation 2000, 79(3), 247-252.
80. Petrofsky, J. The use of electromyogram biofeedback to reduce Trendelenburg gait. European journal of applied physiology 2001, 85(5), 491-495.
81. Morris, M.E.;Matyas, T.A.;Bach, T.M.;Goldie, P.A. Electrogoniometric feedback: its effect on genu recurvatum in stroke. Archives of Physical Medicine and Rehabilitation 1992, 73(12), 1147-1154.
82. Capó-Lugo, C.E., Mullens, C.H. & Brown, D.A. Maximum walking speeds obtained using treadmill and overground robot system in persons with post-stroke hemiplegia. J NeuroEngineering Rehabil 9, 80 (2012). https://doi.org/10.1186/1743-0003-9-80
83. Feasel, J., Whitton, M. C., Kassler, L., Brooks, F. P., & Lewek, M. D. (2011). The integrated virtual environment rehabilitation treadmill system. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19(3), 290-297.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90508-
dc.description.abstract本論文主要利用慣性量測單元來進行中風患者的步態訓練和分析人體步態行走的指標。內容包括了兩大部分,第一部銜接了先前的研究,針對中風患者開發的自動化神經發展治療(Neuro Developmental Treatment ;NDT)訓練機為基礎,再結合跑步機速度控制可以同時增進中風患者的各項步態指標,包括擺動期對稱性、骨盆側向位移、腰部旋轉幅度、走路速度與跨步步長。第二部分為利用慣性量測單元測量專業瑜伽老師、年長者與一般人走路的狀態,並且定義相關指標來探討不同族群的步態性能。
NDT步態訓練機以最少的介入進行誘導訓練,協助患者恢復運動控制和運動協調的正常神經迴路,以幫助患者恢復行走能力。但在實務上相當地耗費時間和人力,因此也限制了患者的治療效果。為了解決時間和人力成本以及提升NDT復建治療效果,本實驗室先前開發了一套自動化NDT步態復建訓練機,幫助患者改善走路時的擺動期對稱性、骨盆側向位移對稱性、腰部軸向旋轉幅度、走路速度與跨步步長。但是在過去的研究中發現,使用者常常需要配合跑步機的速度會降低NDT訓練效果。因此,為了可以讓患者在跑步機上以最適合自己的走路速度得到治療,本論文進行跑步機的速度控制使其配合不同的患者的走路速度,期望能提升NDT步態訓練的效果。另外,本論文也開發了兩種聽覺回授刺激方式配合NDT治療,結果顯示兩種聽覺回授方法都可以為受測者運動指標帶來正面的影響。
本論文首先用系統識別建立NDT訓練馬達與跑步機馬達的數學模型,並設計控制器與補償器,透過絕對型拉繩式編碼器、慣性量測單元、紅外線測距儀、與跑步機編碼器,回授患者的運動狀態,完成自動化NDT步態訓練機的整合訓練機制。驗證部分,先邀請擬中風受測者進行測試,以確認整體系統可靠性與安全性,再招募中風患者進行訓練,探討對於患者各項步態指標的增益效果。
瑜伽是一項可以增進身體核心力量和平衡性的運動,本論文透過慣性測量單元,探討資深瑜伽老師與年齡相仿的普通對照組在正常行走步態,與串聯式步態(Tandem Gait)的表現。結果顯示核心平衡能力較強的瑜伽老師會比對照組在步態測試來得好。另外也對65歲以上的年長組和65歲以下的年輕中年組進行步態運動的測試,探討他們的步態運動表現差異。結果顯示年輕中年組在肌肉強度較高的情況下串聯式步態(Tandem Gait)會比老年組表現的更好,而正常行走步態卻沒有差異。
zh_TW
dc.description.abstractThis thesis applies inertial measurement units (IMUs) to perform two tasks: gait training for stroke patients and analyzing human gait performance.
In the first task, we developed an automated Neuro-Developmental Treatment (NDT) trainer employing a speed control treadmill. NDT could improve the physical function of stroke patients by establishing and restoring neural circuits through minimum interventions. Therefore, our laboratory developed an automated stationary NDT gait trainer to help patients improve their asymmetry of swing phase, asymmetry of lateral pelvic displacement, the amplitude of pelvic rotation, walking speed and stride length. However, during the tests, we found that users must adjust their speeds according to the treadmill. Therefore, we developed a speed-control treadmill and integrated it with the NDT trainer. We identified the systems through experiments and designed controllers so that the treadmill could adjust its speed according to the users. We invited healthy subjects and patients with strokes to conduct experiments. The results show that the speed-control NDT trainer could improve these subjects’ asymmetry of swing phase, asymmetry of lateral pelvic displacement, the amplitude of pelvic rotation, walking speed and stride length. Furthermore, we tried two different voice intervention methods on users during the NDT Treatment. The results showed that two voice intervention methods had a positive impact on all the users.
In the second task, we applied IMUs to evaluate the gait performance among the Yoga instructors, the healthy control, and the elders. Yoga is known for improving core strength and balance. We estimated the gait performance of senior yoga instructors and normal healthy subjects of similar age through IMUs. The results showed that yoga teachers performed better gait performance than the control group. We also compared the gait performance between the elder group and the young controls. The results showed that the young controls performed better in Tandem Gait than the older group but with no difference in normal walking gait. Furthermore, the yoga instructors tended to have better gait performance than the young controls despite the age differences. These findings suggest that suitable exercises could be introduced to the elders to improve their gaits.
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dc.description.tableofcontents致謝 I
摘要 III
ABSTRACT V
目錄 VII
圖目錄 XI
表目錄 XVII
符號 XXI
縮寫 XXV
第一章 緒論 1
1.1 前言 1
1.2 研究動機與方法 2
1.3 文獻回顧 4
1.4 論文架構 9
第二章 NDT訓練機硬體架構 11
2.1 系統整體架構介紹 11
2.2 微處理器 12
2.3 馬達控制系統 13
2.3.1 步進馬達與驅動器 13
2.3.2 拉繩機構 15
2.3.3 力感測器 16
2.4 運動擷取系統 17
2.4.1 穿戴式慣性量測元件 17
2.4.2 拉繩式絕對型編碼器 20
2.4.3 紅外線測距儀 23
2.5 跑步機馬達系統 26
2.5.1 跑步機馬達與驅動器 26
2.5.2 跑步機機構 28
2.6 聽覺回授系統 28
2.7 安全系統 29
第三章 NDT訓練機拉繩馬達與跑步機馬達控制器設計 31
3.1 拉繩馬達與跑步機馬達系統識別 31
3.1.1 系統識別方法 31
3.1.2 拉繩馬達系統識別實驗 32
3.1.3 跑步機馬達系統識別實驗 36
3.2 拉繩馬達控制器設計 39
3.2.1 強韌控制理論 40
3.2.2 強韌控制器設計 50
3.2.3 前饋控制器設計 53
3.2.4 實際測試與比較 54
3.3 跑步機馬達控制器設計 57
3.3.1 PID控制器設計 59
3.3.2 模擬與實驗比較 60
第四章 NDT訓練機軟體架構 65
4.1 治療施力軌跡 65
4.2 步態週期與施力時機 67
4.3 運動指標治療策略 69
4.3.1 步態擺動期對稱性 70
4.3.2 骨盆側向位移對稱性 71
4.3.3 腰部旋轉幅度 72
4.4 系統控制流程 73
第五章 NDT訓練機收案實驗與分析 77
5.1 NDT中風訓練實驗 77
5.1.1 受試者收案條件 77
5.1.2 受試者基本資料 79
5.1.3 收案實驗流程 79
5.2 聽覺回授步態實驗 83
5.2.1 領導性聽覺刺激 83
5.2.2 誘導性聽覺刺激 86
5.3 實驗結果與討論 87
5.3.1 進步幅度指標 87
5.3.2 中風患者與擬中風受測者NDT實驗 90
5.3.3 聽覺回授NDT實驗 97
5.4 視覺回授與行走速度實驗 105
第六章 IMU與運動效能分析之應用 109
6.1 收案實驗 109
6.1.1 瑜伽收案实验 109
6.1.2 年長者收案实验 110
6.2 運動資料收集 111
6.3 步態資料比較 113
6.4 性能指標與分析工具 114
6.4.1 步態行為指標 114
6.4.2 t檢定 116
6.5 實驗結果與分析 117
6.5.1 瑜伽收案實驗結果 118
6.5.2 年長者收案實驗結果 120
第七章 結論與未來展望 125
7.1 結論 125
7.2 未來展望 126
參考文獻 129
附錄A 中風收案同意書 135
附錄B 中風收案知情同意書 139
附錄C 中風受試者實驗結果 141
附錄D 擬中風受試者實驗結果 143
附錄E 擬中風領導式聲音回授實驗結果 149
附錄F 擬中風誘導式聲音回授實驗結果 155
附錄G 視覺回授實驗結果 159
附錄H 瑜伽收案實驗收案同意書與結果 161
附錄I 老年人收案實驗收案同意書與結果 165
附錄J 口試委員之問題與回答 175
-
dc.language.isozh_TW-
dc.subject老年步態zh_TW
dc.subject慣性量測單元zh_TW
dc.subject步態分析zh_TW
dc.subject神經發展治療zh_TW
dc.subject中風zh_TW
dc.subject強韌控制zh_TW
dc.subject速度控制跑步機zh_TW
dc.subject瑜伽zh_TW
dc.subjectyogaen
dc.subjectrobust controlen
dc.subjectNDTen
dc.subjectgait rehabilitationen
dc.subjectelderly gait performanceen
dc.subjectspeed control treadmillen
dc.subjectInertial measurement uniten
dc.title跑步機之變速控制及於中風步態復健之應用zh_TW
dc.titleTreadmill Speed Control for Stroke-Gait Rehabilitation and Performance Analysisen
dc.typeThesis-
dc.date.schoolyear111-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee顏家鈺;陳思甫zh_TW
dc.contributor.oralexamcommitteeJia-Yush Yen;Szu-fu Chenen
dc.subject.keyword慣性量測單元,步態分析,神經發展治療,中風,強韌控制,速度控制跑步機,瑜伽,老年步態,zh_TW
dc.subject.keywordInertial measurement unit,gait rehabilitation,NDT,robust control,speed control treadmill,yoga,elderly gait performance,en
dc.relation.page181-
dc.identifier.doi10.6342/NTU202304038-
dc.rights.note未授權-
dc.date.accepted2023-08-13-
dc.contributor.author-college工學院-
dc.contributor.author-dept機械工程學系-
顯示於系所單位:機械工程學系

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