Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/9270
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dc.contributor溫志煜zh_TW
dc.contributor.author陳昭伶zh_TW
dc.contributor.authorChen, Chao-Lingen_US
dc.contributor.other電機工程學系所zh_TW
dc.date2012en_US
dc.date.accessioned2014-06-06T06:42:58Z-
dc.date.available2014-06-06T06:42:58Z-
dc.identifierU0005-2607201212072900en_US
dc.identifier.citation[1]Ming-Feng Wu and Chih-Yu Wen, “A Novel Shuttle Walking Model Using Networked Sensing and Control for Chronic Obstructive Pulmonary Disease: A Preliminary Study,” in Proc. of the 6th International Conference on Pervasive Computing Technologies for Healthcare - PervasiveHealth 2012, San Diego, California, United States, May 2012. [2]B. R. Celli. “Pathophysiology of chronic obstructive pulomonary disease,” Pulomonary Rehabilitation: Guidekines to Success. 4th. ed. Mosby Elsevier, pp. 18-29, 2009. [3]L. Ciobanu, et al., “Current opinion on the importance of pulmonary rehabilitation in patients with chronic obstructive pulmonary disease,” Chin Med J 2007; 120(17):1539-1543. [4]GOLD executive committee. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: Manage Stable COPD, pp. 47-61, 2006. [5]B. Vagaggini et.al. “Shuttle walking test and 6-minute walking test induce a similar cardiorespiratory performance in patients recovering from an acute exacerbation of chronic obstructive pulmonary disease,” Respiration vol. 70, pp. 579-584, 2003. [6]R. Zuwallack. “Outcome assessment,” in Pulmonary rehabilitation guildiness to success. 4th ed. Mosby Elsevier, pp. 330- 350, 2009. [7]Paul S. Fardy and Frank G. Yanowitz. “Methodylogy, Interpretation, and Application,” in Cardiac Rehabilitation, Adult Fitness, and Exercise Testing. 3rd.Williams & Wilkins, pp. 156-244, 1995. [8]W. McArdle, et al., Exercise physiology: energy, nutrition, and human performance. 3rd ed. Philadephia: Lea & Febiger, 1991. [9]R. Leung, et al., “Ground walk training improves functional exercise capacity more than cycle training in people with chronic obstructive pulmonary disease (COPD): a randomized trial,” J. of Physiotherapy, vol. 56, pp. 105-112, 2010. [10]C. B. Cooper and T. W. Storer. Exercise testing and interpretation.Camberidge, pp. 51-92, 2001. [11] Halit Eren. “Wireless communication,” in Wireless sensors and instruments networks, design, and application. Taylor & Francis Group, pp: 59-123, 2006. [12]Halit Eren. “Wireless communication,” in Wireless sensors and instruments networks, design, and application. Taylor & Francis Group, pp: 59-123, 2006. [13]瑞帝電通國際有限公司, HBE-Zigbex 無限感測網路發展平台教學實驗手冊. [14]長高科技股份有限公司, XScale270 嵌入式系統實作. 台中: 長高科 技股份有限公司, 2007. [15]瑞帝電通國際有限公司, ZigbeX_English Manual. [16]Sian E. Turner et.al. Physiologic responses to incremental and self-paced exercise in COPD: a comparison of three tests. 10.1378/chest.126.3.766 CHEST September 2004 vol. 126 no. 3 766-773. [17]Lro, J.; Shukla, H. V.; Hubaux, J.-P., “Non-Interactive Location Surveying for Sensor Networks with Mobility-Differentiated ToA”, in INFOCOM 2006. 25th IEEE International Conference on Computer Communications. Proceedings. pp. 1 – 12. April 2006. [18]Yuu-De Liu; Chung-Ping Young; Jing-Jhong Chen; Ying-Huang Chen; Chun-Yu Chen; Yu-Cheng Hsu; Fu-Zen Shaw; Sheng-Fu Liang, “Design and Implementation of a Modularized Polysomnography System”, Instrumentation and Measurement, IEEE Transaction on. Vol. 61, no.7. pp. 1933 – 1944. July 2012. [19]Yamamoto, Y. Grad. Sch. of Inf. Sci., Hosei Univ., Koganei, Japan Runhe Huang; Jianhua Ma, “Medicine management and medicine taking assistance system for supporting elderly care at home” Aware Computing (ISAC), 2010 2nd International Symposium on. pp. 31 -37. 1-4 Nov. 2010.en_US
dc.identifier.urihttp://hdl.handle.net/11455/9270-
dc.description.abstract運動訓練是慢性阻塞性肺疾病患做肺部復建的關鍵步驟。我們利用模糊邏輯控制以及無線感測網路的特性發展一個具有自動校正、執行復健、排除干擾與安全性監控的方法,以作為適應性調控病患復健的工具。在本基礎研究中,我們評估所提出的運動訓練模型在超量原則的狀況下,其安全性考量是否可行。在本論文中的實驗設置和系統實現,是以CRASE 協定 [1] 的結構設計原則為基礎,進而讓運動訓練成為居家復健的工具。zh_TW
dc.description.abstractExercise training is a crucial component of pulmonary rehabilitation for patients with chronic obstructive pulmonary disease. Based on fuzzy logic control and wireless sensor networking, we develop an approach with calibration, rehabilitation, artifact/safety monitoring and endpoint decision (CRASE) to perform adaptive subject exercise training and monitoring. This preliminary study investigates an exercise training model with overload principle and safety concern. The experimental settings and system implementation in this thesis are based on the design principles of the CRASE scheme in [1], which is promising to efficiently put exercise training into practice for home-based rehabilitation.en_US
dc.description.tableofcontents摘要………………………………………………………………………i Abstract…………………………………………………………………ii Contents………………………………………………………………iii List of Tables…………………………………………………………iv List of Figures………………………………………………………v 1.Introduction………………………………………………………… 1 2.The CRASE Protocol………………………………………………… 4 2. 1. The Procedures of Exercise Training………………………4 2. 2. Adaptive Shuttle Walking and Networked Sensing……… 5 2. 3. Fuzzy Control……………………………………………………6 2.3. 1. Fuzzy Inputs:…………………………………………………8 2.3. 2. Fuzzy Output:…………………………………………………9 2.3. 3. Fuzzy Rules:…………………………………………………10 3.System Architecture……………………………………………… 11 3. 1. Hardware…………………………………………………………12 3.1. 1. ZigbeX module……………………………………………… 12 3.1. 2. Gateway……………………………………………………… 14 3.1. 3. Ultrasound module………………………………………… 15 3.1. 4. BIO module……………………………………………………18 3. 2. Firmware…………………………………………………………20 3. 3. Software…………………………………………………………23 4.System Performance Evaluation………………………………… 25 5.Conclusion……………………………………………………………34 6.References……………………………………………………………35zh_TW
dc.language.isoen_USen_US
dc.publisher電機工程學系所zh_TW
dc.relation.urihttp://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-2607201212072900en_US
dc.subject肺部復健zh_TW
dc.subjectpulmonary rehabilitationen_US
dc.subject慢性阻塞性肺病zh_TW
dc.subject模糊控制zh_TW
dc.subject線感測網路zh_TW
dc.subjectchronic obstructive pulmonary diseaseen_US
dc.subjectfuzzy controlen_US
dc.subjectwireless sensor networkingen_US
dc.title慢性阻塞性肺病之普及化復健監控實現zh_TW
dc.titleImplementation of Pervasive Rehabilitation Monitoring for Chronic Obstructive Pulmonary Disease (COPD)en_US
dc.typeThesis and Dissertationzh_TW
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.fulltextno fulltext-
item.languageiso639-1en_US-
item.grantfulltextnone-
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