Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/9174
標題: 分散式網路感測與控制在普適性健康照護的應用
Distributed Networked Sensing and Control for Pervasive Healthcare Applications
作者: 吳明峰
wu, Ming-Feng
關鍵字: 無線感測網路;wireless sensor network;睡眠腦波;慢性阻塞性肺;模糊特徵;肺部復健;sleep EEG;chronic obstructive pulmonary disease;fuzzy characteristic;pulmonary rehabilitation
出版社: 電機工程學系所
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摘要: 
以感測網路與控制的無線穿戴性健康照護系統,因為具有穿戴性、可靠性、安全性與互通性的主要特性,最近幾年有不少應用被提出。然而,這些技術的發展得在有限頻寬、功率限制以及動態環境下處理大量資料,也面臨了新的挑戰。在本論文,將介紹兩個普適性健康照護的應用。第一個議題將介紹分散式協同感測設計在無線睡眠腦波量測的分析。在這議題上我們測試了時間同步的影響以及無線通道在系統的效應,並提出減少訊號降解的模型。實驗結果顯示在無使用訊號處理模型下睡眠腦波切割正確率為47.5%,使用訊號處理模型達72.5%,兩者在麥克內瑪統計上有顯著性的差異( p= 0.03)。第二個議題描述了對慢性阻塞性肺疾患者在普適性肺部復健監控的設計原則。在這研究上,我們發展出適應性穿梭來回運動的訓練模型,並基於校正、復健、干擾與安全性與訓練終點決定(CRASE)的架構應用在網路感測與模糊特徵來探索復健層級的表現。實驗結果顯示我們提出的走路運動模式與漸進式穿梭來回走路測試在平均距離(±標準差)分別為38.7(±9.8)與54.9(±2.1) 公尺,以獨立樣本檢定兩者在統計上有顯著的差異(p < 0.05),這結果證實我們提出的假設的具有調整運動訓練層級較佳的能力。這兩議題的結果顯示協同感測與CRASE架構能分別提供一種睡眠腦波明智的感測設計以及對於慢性阻塞性肺疾肺部復健控制的可行性,而這成果也將有潛力發展為居家監控的臨床使用。

With the main features of wearability, reliability, security and interoperability, in recent years, wireless wearable health monitoring systems with networked sensing and control for e-Health have been proposed. However, these technological advances have also brought new challenges in processing large amount of data in a bandwidth-limited, power-constraint, and dynamic environment. In this dissertation, two pervasive healthcare applications are presented. A distributed cooperative sensing scheme for wireless sleep EEG measurement is presented in the first issue. We examine the influences of clock synchronization and wireless channel effects on system performance, and the proposed scheme is applied to mitigate signal degradation. The results show that the segmentation accuracy is 47.5% (without the proposed scheme) and 72.5% (with the proposed scheme) in McNemar test with the value p = 0.013. The second issue describes the design principles of pervasive pulmonary rehabilitation monitoring for chronic obstructive pulmonary disease (COPD). In the field, we develop an adaptive shuttle walking as an exercise training model and propose the Calibration, Rehabilitation, Artifact/Safety monitoring, and Endpoint decision (CRASE) protocol, which applies networked sensing and fuzzy characteristics to explore the performance. The experimental results show that the walking distance with mean(�standard deviation) of the proposed CRASE and the incremental shuttle walking test (ISWT) are 38.7 (�9.8) meters and 54.9(� 2.1) meters, respectively. Independent sample t-test shows that there are significantly different (p < 0.05) between the two protocols and the proposed CRASE scheme has better capability to adjust the exercise training level. The results suggest that the cooperative sensing scheme and the CRASE protocol may provide a sensible sensing design for sleep EEG and a feasible control system for rehabilitation of COPD, respectively, which will have the potential for clinical practice with home-based monitoring.
URI: http://hdl.handle.net/11455/9174
其他識別: U0005-1808201322431600
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