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系統識別號 U0002-2407201301310800
中文論文名稱 微型無線生理感測器融合整合通訊與醫療物聯網
英文論文名稱 Integrating Unified Communications and Internet of m-health Things with micro wireless physiological sensors
校院名稱 淡江大學
系所名稱(中) 資訊工程學系碩士在職專班
系所名稱(英) Department of Computer Science and Information Engineering
學年度 101
學期 2
出版年 102
研究生中文姓名 何信凱
研究生英文姓名 Hsin-Kai Ho
電子信箱 scotttyler64@gmail.com
學號 700410235
學位類別 碩士
語文別 中文
第二語文別 英文
口試日期 2013-06-14
論文頁數 88頁
口試委員 指導教授-葛煥昭
委員-施俊哲
委員-顏淑惠
委員-葛煥昭
中文關鍵字 整合通訊  物聯網  無線生理感測器  行動照護 
英文關鍵字 Unified Communications  Internet of Things  Wireless physiological sensors  Mobile healthcare 
學科別分類 學科別應用科學資訊工程
中文摘要 本研究建構整合通訊平台(Unified Communications, UC)融合於醫療物聯網 (Internet of m-health Things, m-IoT)架構下應用於行動醫療照護領域,利用微型無線生理感測器結合智慧型行動裝置,得以實行病患之監護、急救、追蹤、分析、診斷、預警、定址服務與協同醫療照護。使資料、語音、影像、多媒體訊息元素匯流於無線近身網路、無線感測網路、無線區域網路、網際網路、公共交換電話網路及社群網路之中,形塑出無縫兼容(Ubiquitous)的網路架構。使得被看護者的生命跡象數據(Vital Signs),包含了心跳率、呼吸率、心電圖、體溫、姿勢、活動率、定位位置、現場街景圖、現場背景錄音回饋,即時融合於異質平台以進行相關分析、運算、統計及比對。

整合通訊架構下可確保看護者能隨時隨地透過任何通訊工具、媒體、裝置、平台掌握到被看護者狀況,即時給予適當的醫療診斷或進行緊急救援,醫療照護不再因距離、空間、時間而有所受限。本研究並改良了傳統行動照護的通訊架構、監測模式及預警機制並且提供一個有效、即時、多通道、群組廣播及雙向之通訊架構,並減少協同醫療照護的人力成本且提高通訊服務效益。希冀導入整合通訊相關技術提高行動照護品質,進而將通訊產業打開更廣泛的應用領域及研究突破,略盡一己之力。
英文摘要 This study establishes Unified Communications (UC) platform integrated with Internet of m-health Things (m-IoT) architecture, which can be applied to healthcare. Using micro wireless physiological sensors combined with smart mobile devices, that is able to implement patients immediate monitoring, first aid, tracking, analysis, diagnosis, alarm-triggering, locating and collaboration with medical healthcare. Converging data, voice, video, multimedia messaging elements into WBAN, WSN, WLAN, Internet, PSTN and Social Networks, which integrates vital signs, including heart rate, respiratory rate, ECG, body temperature, posture, activity rate, GPS location, street scene and live background recording feedback into different heterogeneous platforms to make a seamless compatibility ubiquitous architecture, and thus it conducts correlation analysis, computing, statistics and comparison.

In this communications architecture, it ensures that caregivers could monitor patients at anytime and anywhere through any communication tools, media, devices and platforms. Caregivers could instantly provide proper medical diagnosis or emergency medical care without limited to distance, space and time. This study improved the communication architecture of traditional mobile healthcare, monitoring methods and warning mechanisms, which also offers effective, real-time, multi-channel, group broadcasting and two-way communication to reduce cooperative medical care cost and enhance the effectiveness of communications services. Looking to introduce Unified Communications technologies for mobile healthcare in order to increase mobile medical service quality, and then open a wider range of applications and research breakthroughs.
論文目次 目錄
目錄 III
圖目錄 VI
表目錄 IX
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的與方法 1
1.3 研究架構 2
1.4 研究貢獻 4
第二章 相關研究 6
2.1 整合通訊概觀 6
2.1.1 VoiceXML 技術 7
2.1.2 通訊協定架構 9
2.1.3 協同作業模式 13
2.1.4 醫療通訊產業的應用效益 13
2.2 物聯網的發展 14
2.2.1 關鍵技術及架構 14
2.2.2 物聯網感測閘道器(WSN-IoT Gateway) 15
2.2.3 各國醫療物聯網現況 16
2.3 感測器 17
2.3.1 感測器元件 17
2.3.2 微機電系統(Micro-Electromechanical Systems, MEMS) 18
2.3.3 醫療無線感測裝置 20
2.4 無線近身網路介紹 22
2.4.1 WBAN 通訊架構 22
2.4.2 WBAN 的挑戰 22
2.4.3 無線通訊技術 24
2.5 生命跡象 28
2.5.1 ECG 的介紹 29
2.5.2 自律神經系統(Autonomic Nervous System, ANS) 30
2.5.3 心率變異分析(Heart Rate Variability, HRV) 31
2.6 文獻探討 33
第三章 系統架構與設計 35
3.1 整合通訊融合醫療物聯網 35
3.1.1 系統架構 36
3.1.2 元件框架 36
3.1.3 通訊循序狀態 39
3.2 感測層(Sensor Layer) 40
3.2.1 感測擷取模組(Sensor Collection Module, SCM) 40
3.2.2 感測傳輸模組(Sensor Transmission Module, STM) 42
3.3 中介層(Middleware Layer) 44
3.3.1 整合通訊閘道器(Unified Communication Gateway, UCG) 44
3.3.2 語音流程模組(Voice Flow Module, VFM) 44
3.3.3 即時通訊模組(Instant Messaging Module, IMM) 45
3.3.4 社群網路通訊模組(Social Networking Module, SNM) 48
3.3.5 電子告示版模組(LED Module, LM) 49
3.3.6 語音辨識模組(Automatic Speech Recognition Module, ASRM) 50
3.4 應用層(Application Layer) 52
3.5 偵測告警流程(Detector and Alerting Flow) 52
第四章 實作結果與分析 56
4.1 行動生理量測 56
4.2 遠端生命跡象儀表板 57
4.3 即時生理監測記錄 57
4.4 整合通訊管道 61
4.5 生理數據分析 62
4.6 疾病追蹤及評估 65
第五章 結論與未來研究 68
5.1 結論 68
5.2 未來研究 68
參考文獻 70
附錄-英文論文 79

圖目錄
圖1.1: 全球高齡人口分佈比例(現況及未來) [1] 1
圖1.2: 研究架構魚骨圖 3
圖2.1: 整合通訊平台架構圖[2] 7
圖2.2: VoiceXML 架構圖[3] 8
圖2.3: VoiceXML 資源控制與邏輯流程圖[4] 8
圖2.4: VoiceXML 語音介面框架圖[5] 10
圖2.5: H.323 通訊協定架構[6] 11
圖2.6: SIP 通訊協定架構[6] 12
圖2.7: VoiceXML 整合SIP 協定通訊架構[7] 12
圖2.8: 協同通訊擴展示意圖[8] 13
圖2.9: 物聯網架構概念圖[9] 15
圖2.10: WSN-IoT 閘道器系統架構[10] 16
圖2.11: 感測元件圖[11] 17
圖2.12: SoC/SiP 建構無線醫療裝置[12] 19
圖2.13: 生理感測器整合設計架構[13] 19
圖2.14: 人體生理訊號偵測節點[14] 20
圖2.15: 無線感測器種類、測量方式及資料速率[15] 21
圖2.16: 生理監測分類[16] 21
圖2.17: WBAN 通訊示意圖-1 [14] 23
圖2.18: WBAN 通訊示意圖-2 [17] 23
圖2.19: WSN/WBAN 的挑戰差異[14] 24
圖2.20: 無線網路技術傳輸距離/速度比較圖24
圖2.21: ZigBee 協定堆疊[18] 25
圖2.22: BLE 協定堆疊[19] 26
圖2.23: Bluetooth/UWB/ZigBee/Wi-Fi Protocols 比較[20] 28
圖2.24: ECG 波形訊號[21] 29
圖2.25: 自律神經系統[22] 31
圖2.26: R-R 訊號 32
圖2.27: 心率變異分析流程圖[23] 32
圖3.1: 系統網路涵蓋圖 35
圖3.2: 系統架構示意圖 37
圖3.3: 元件框架設計圖 38
圖3.4: 通訊循序狀態圖 39
圖3.5: 感測層硬體抽象架構圖 41
圖3.6: Android Eclipse 開發畫面 41
圖3.7: SOAP 定義傳遞要求及回應的XML 格式 43
圖3.8: E-R 圖 43
圖3.9: 中介層示意圖 44
圖3.10: 整合通訊閘通器模組圖 45
圖3.11: 類比語音卡片模組[24] 46
圖3.12: IVR 語音流程 46
圖3.13: Voice Flow Module -物件類別模型圖 47
圖3.14: Instant Messaging Module -物件類別模型圖 47
圖3.15: Facebook 整合流程圖[25] 48
圖3.16: Social Networking Module -物件類別模型圖 48
圖3.17: Oauth 認證流程[26] 49
圖3.18: LED 電子看版硬體規格 49
圖3.19: LED Module -物件類別模型圖 50
圖3.20: ASR 語音辨識引擎架構[27] 51
圖3.21: ASR 語音辨識文法規格 51
圖3.22: ASR Module -物件類別模型圖 52
圖3.23: MVVM 模型框架[28] 53
圖3.24: 偵測告警流程圖 55
圖4.1: 行動生理量測介面 56
圖4.2: 遠端生理監控儀表板 57
圖4.3: 生理監測記錄 58
圖4.4: 現場背景錄音回饋 58
圖4.5: 心跳率即時監測 58
圖4.6: 呼吸率即時監測 59
圖4.7: 體溫即時監測 59
圖4.8: 姿勢即時監測 59
圖4.9: 活動狀態即時監測 60
圖4.10: OLAP 分析 60
圖4.11: 整合通訊管道 61
圖4.12: 心跳率/吸呼率-量測結果分析圖 62
圖4.13: 心跳率/吸呼率/HRV-量測結果分析圖 63
圖4.14: 吸呼率/RR-量測結果分析圖 63
圖4.15: RR-量測結果分析圖 64
圖4.16: ECG-量測結果分析圖 64
圖4.17: 三軸加速度器-量測結果分析圖 65
圖4.18: 原始生理數據 66
圖4.19: 類神經網路探勘模型 66
圖4.20: 決策樹探勘模型 67
圖4.21: 集群探勘分析模型 67

表目錄
表3.1: 藍芽通訊資料封包協議 40
參考文獻 [1] United Nations. Population Ageing and Development 2012 (Wall Chart). United Nations Publications, November 2012.
[2] Lynne A Dunbrack, Nora Freedman, and Marc Holland. The role of unified communications in healthcare service improvement. 2008.
[3] J A Larson. VoiceXML and the W3C speech interface framework. MultiMedia, IEEE, 10(4):91--93, November 2003.
[4] W3C. Workshop on Speaker biometrics and VoiceXML 3.0 —Summary. http://www.w3.org/2008/08/siv/summary.html.
[5] W3C. Introduction of W3C & VBWG. http://www.w3.org/2009/Talks/0305-w3c-vb-ka/.
[6] J Glasmann, W Kellerer, and H Muller. Service architectures in H.323 and SIP: A comparison. Communications Surveys & Tutorials, IEEE, 5(2):32--47, 2003.
[7] K Singh, A Nambi, and Henning Schulzrinne. Integrating voiceXML with SIP services. In Communications, 2003. ICC '03. IEEE International Conference on, pages 784--788, 2003.
[8] Cisco System Inc. Delivering the New Collaboration Experience. pages 1--7, November 2011.
[9] Xiaolin Jia, Quanyuan Feng, Taihua Fan, and Quanshui Lei. RFID technology and its applications in Internet of Things (IoT). In 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), pages 1282--1285. IEEE, 2012.
[10] Qian Zhu, Ruicong Wang, Qi Chen, Yan Liu, and Weijun Qin. IOT Gateway: Bridging Wireless Sensor Networks into Internet of Things. In Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on, pages 347--352, 2010.
[11] Ian F Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. A survey on sensor networks. Communications Magazine, IEEE, 40(8):102--114, 2002.
[12] K A Townsend, J W Haslett, TKK Tsang, M N El-Gamal, and K Iniewski. Recent advances and future trends in low power wireless systems for medical applications. Audio, Transactions of the IRE Professional Group on, pages 476--481, July 2005.
[13] Texas Instruments, Incorporated [SLYB147,A]. Diagnostic Patient Monitoring and Therapy Guide. pages 1--71, August 2010.
[14] Benoit Latre, Bart Braem, Ingrid Moerman, Chris Blondia, and Piet Demeester. A survey on wireless body area networks. Wireless Networks, 17(1), January 2011.
[15] C Liolios, C Doukas, and G Fourlas. An overview of body sensor networks in enabling pervasive healthcare and assistive environments. … to Assistive Environments, 2010.
[16] U Varshney. Managing Wireless Health Monitoring for Patients with Disabilities. IT Professional, 8(6):12--16, 2006.
[17] Min Chen, Sergio Gonzalez, Athanasios Vasilakos, Huasong Cao, and Victor C Leung. Body Area Networks: A Survey. Mobile Networks and Applications, 16(2), April 2011.
[18] ZigBee Alliance. ZigBee Wireless Sensor Applications for Health, Wellness and Fitness. pages 1--15, June 2010.
[19] Texas Instruments, Incorporated [CC2540/41]. BluetoothR Low Energy Software Developer's Guide. pages 1--55, May 2013.
[20] Jin-Shyan Lee, Yu-Wei Su, and Chung-Chou Shen. A Comparative Study of Wireless Protocols: Bluetooth, UWB, ZigBee, and Wi-Fi. In Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE, pages 46--51, 2007.
[21] Wikipedia. QRS complex. http://en.wikipedia.org/wiki/QRS_complex.
[22] 威今基因科技. 自律神經介紹. http://www.wegene.com.tw/health.htm.
[23] Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology. Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use. Circulation, 93(5):1043--1065, January 1996.
[24] Telesynergy. http://www.telesynergy.com.tw.
[25] Adobe. Getting started with the Facebook SDK and ActionScript 3. http://www.adobe.com/cn/devnet/facebook/articles/facebook_architecture_overview.html.
[26] Intel. Identity Services REST Developer's Guide. http://software.intel.com/cloudservicesplatform/documentation/intelcloud-services-platform-beta-identity-services-restdevelopers-guide.
[27] Microsoft. Processing Speech Recognition. http://technet.microsoft.com/en-us/library/bb684754.aspx.
[28] Microsoft. MVVM QuickStar. http://msdn.microsoft.com/en-us/library/gg430869.
[29] R S H Istepanian, Ala Sungoor, Ali Faisal, and Nada Philip. Internet of m-health Things "m-IoT". Assisted Living 2011, IET Seminar on, pages 1--3, 2011.
[30] U K Che, Chi Kin Lao, Sio Hang Pun, Peng Un Mak, Feng Wan, and Mang I Vai. Portable heart rate detector based on photoplethysmography with android programmable devices. In Telecommunications and Signal Processing (TSP), 2012 35th International Conference on, pages 605--609, 2012.
[31] Miguel A Laguna, Javier Finat, and Jose A Gonzalez. Mobile health monitoring and smart sensors: a product line approach. In EATIS '09: Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship. ACM Request Permissions, June 2009.
[32] N A Khan, N Javaid, Z A Khan, M Jaffar, U Rafiq, and A Bibi. Ubiquitous Health-Care in Wireless Body Area Networks. arXiv.org, July 2012.
[33] H J Wang, A Morlang, and R H Katz. A personal communication service creation model for Internet-based unified communication systems. In Communications, 2001. ICC 2001. IEEE International Conference on, pages 1325--1329, 2001.
[34] Dagny Evans. An introduction to unified communications: challenges and opportunities. Aslib Proceedings, 56(5):308--314, 2004.
[35] Christopher Andrews. Unified communication systems. Crossroads, 8(1), September 2001.
[36] Amily Fikry and Zaidi Abdul Ghani Mukhtar. Unified communication: it's all between you and me. Business Strategy Series, 13(4):168--172, 2012.
[37] Jakub Dolezal and Lukas Kencl. A unifying architecture for easy development, deployment and management of voice-driven mobile applications. In CNSM '11: Proceedings of the 7th International Conference on Network and Services Management. International Federation for Information Processing, October 2011.
[38] Min-Jen Tsai. VoiceXML dialog system of the multimodal IP-Telephony---The application for voice ordering service. Expert Systems with Applications, 31(4):684--696, November 2006.
[39] Hong Cai, W Lu, Bo Yang, and Lihua Tang. Session initiation protocol and Web services for next generation multimedia applications. In Multimedia Software Engineering, 2002. Proceedings. Fourth International Symposium on, pages 70--80, 2002.
[40] M H Bokaei, H Sameti, H Eghbal-zadeh, B Babaali, Kh Hosseinzadeh, M Bahrani, H Veisi, and A Sanian. Niusha, the first Persian speech-enabled IVR platform. Telecommunications (IST), 2010 5th International Symposium on, pages 591--595, 2010.
[41] Keyur Parikh and Junius Kim. TDM Services over IP Networks. In Military Communications Conference, 2007. MILCOM 2007. IEEE, pages 1--10, 2007.
[42] Robert Sparks. SIP: Basics and Beyond. Queue, 5(2), March 2007.
[43] Dongxin Lu and Tao Liu. The application of IOT in medical system. IT in Medicine and Education (ITME), 2011 International Symposium on, 1:272--275, 2011.
[44] Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, and Marimuthu Palaniswami. Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. arXiv.org, July 2012.
[45] Xueqin Jia, Jing Wang, and Qing He. IoT business models and extended technical requirements. In Communication Technology and Application (ICCTA 2011), IET International Conference on, pages 622--625, 2011.
[46] Zhao Ju and Yanjing Li. Analysis on Internet of Things (IOT) Based on the "Subway Supermarket" E-commerce Mode of TESCO. In ICIII '11: Proceedings of the 2011 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE Computer Society, November 2011.
[47] Zhihong Yang, Yufeng Peng, Yingzhao Yue, Xiaobo Wang, Yu Yang, and Wenji Liu. Study and application on the architecture and key technologies for IOT. Audio, Transactions of the IRE Professional Group on, pages 747--751, June 2011.
[48] 劉欣儀. 『物聯網全球布局與未來發展挑戰』. 臺灣經濟研究月刊, 2010.
[49] Liao Haiyang, Yu Haiqian, and Wang Han. Human's Health Monitoring SYSTEM Based on Wireless Network. Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on, page 2, 2007.
[50] Robert Bogue. Wireless sensors: a review of technologies, products and applications. Sensor Review, 30(4):285--289, 2010.
[51] James P Smith. Medical and biological sensors: a technical and commercial review. Sensor Review, 25(4):241--245, 2005.
[52] Ajay Bharadwaj. STREAMLINING PORTABLE MEDICAL ELECTRONICS DESIGN. EE Times Design, pages 1--9, April 2011.
[53] N Watthanawisuth, T Lomas, A Wisitsoraat, and A Tuantranont. Wireless wearable pulse oximeter for health monitoring using ZigBee wireless sensor network. Audio, Transactions of the IRE Professional Group on, pages 575--579, May 2010.
[54] Jerald Yoo and Hoi-Jun Yoo. Emerging low energy Wearable Body Sensor Networks using patch sensors for continuous healthcare applications. International Conference of the IEEE Engineering in Medicine and Biology Society. Proceedings, 2010:6381--6384, 2010.
[55] Yu-Hsien Chu, Yen-Chou Hsieh, Chia-Hui Wang, Yu-Chun Pan, and Ray-I Chang. UPHSM: Ubiquitous personal health surveillance and management system via WSN agent on open source smartphone. Audio, Transactions of the IRE Professional Group on, pages 60--63, May 2011.
[56] Genghuang Yang, Xiong Su, Li Zhao, Shigang Cui, Qingguo Meng, Weihua Pei, and Hongda Chen. Research of portable community-oriented health monitoring terminal. Intelligent Control and Automation (WCICA), 2010 8th World Congress on, pages 1--6, March 2010.
[57] Wang Weiya Wang Weiya and Li Chao Li Chao. Integrated Application of WBAN and WSN. Audio, Transactions of the IRE Professional Group on, pages 1884--1888, August 2009.
[58] D M Barakah and M Ammad-uddin. A Survey of Challenges and Applications of Wireless Body Area Network (WBAN) and Role of a Virtual Doctor Server in Existing Architecture. In Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on, pages 214--219, 2012.
[59] PremChand Jain. Wireless Body Area Network for Medical Healthcare. IETE Technical Review, 28(4):362, 2011.
[60] Yuanlong Liu and R Sahandi. Zigbee network for remote patient monitoring on general hospital wards. Information, Communication and Automation Technologies, 2009. ICAT 2009. XXII International Symposium on, pages 1--7, 2009.
[61] S Stoa, I Balasingham, and T A Ramstad. Data Throughput Optimization in the IEEE 802.15.4 Medical Sensor Networks. Audio, Transactions of the IRE Professional Group on, pages 1361--1364, May 2007.
[62] Bin Yu, Lisheng Xu, and Yongxu Li. Bluetooth Low Energy (BLE) based mobile electrocardiogram monitoring system. In Information and Automation (ICIA), 2012 International Conference on, pages 763--767, 2012.
[63] E Mackensen, M Lai, and T M Wendt. Bluetooth Low Energy (BLE) based wireless sensors. Sensors, 2012 IEEE, pages 1--4, 2012.
[64] 何宗穎. 『可攜式即時心電圖監控系統』. 慈濟大學醫學資訊研究所碩士論文, pages 1--59, July 2007.
[65] Brian Olshansky, Mina K Chung, Steven M Pogwizd, and Nora Goldschlager. Arrhythmia Essentials. Jones & Bartlett Learning, May 2011.
[66] E Nemati, M J Deen, and T Communications Magazine IEEE Mondal. A wireless wearable ECG sensor for long-term applications. Communications Magazine, IEEE, 50(1), 2012.
[67] Dae-Seok Lee, S Bhardwaj, E Alasaarela, and 2007 IEEE Wan-Young Chung Sensors. An ECG Analysis on Sensor Node for Reducing Traffic Overload in u-Healthcare with Wireless Sensor Network. Sensors, 2007 IEEE, 2007.
[68] 黃進忠. 『即時HRV 分析系統發展及其應用於生物回饋系統』. 國立交通大學電機與控制工程學系碩士論文, pages 1--76, June 2006.
[69] L L Politano, A A Palladino, G G Nigro, M M Scutifero, and V V Cozza. Usefulness of heart rate variability as a predictor of sudden cardiac death in muscular dystrophies. Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology / edited by the Gaetano Conte Academy for the study of striated muscle diseases, 27:114--122, November 2008.
[70] P Palatini and S Julius. The role of cardiac autonomic function in hypertension and cardiovascular disease. Current hypertension reports, 2009.
[71] M M Kawase, T T Komatsu, K K Nishiwaki, T T Kimura, Y Y Fujiwara, T T Takahashi, and Y Y Shimada. Heart rate variability during massive hemorrhage and progressive hemorrhagic shock in dogs. Canadian Journal of Anesthesia, 47(8):807--814, July 2000.
[72] Wei-Lung Chen and Cheng-Deng Kuo. Characteristics of heart rate variability can predict impending septic shock in emergency department patients with sepsis. Academic Emergency Medicine, 14(5):392--397, April 2007.
[73] M Abousharkh and H Mouftah. XMPP-enabled SOA-driven middleware for remote patient monitoring system. In Information Technology and e-Services (ICITeS), 2012 International Conference on, pages 1--5, 2012.
[74] I Kirbaş and Cuneyt Bayilmis. HealthFace: a web-based remote monitoring interface for medical healthcare systems based on wireless body area sensor network. Turkish J Electr Eng Comput Sci, 10, 2012.
[75] Octavian Postolache, Pedro S Girao, Mario Ribeiro, Marco Guerra, Joao Pincho, Fernando Santiago, and Antonio Pena. Enabling telecare assessment with pervasive sensing and Android OS smartphone. Audio, Transactions of the IRE Professional Group on, pages 288--293, April 2011.
[76] Marcin Bajorek and Jedrzej Nowak. The role of a mobile device in a home monitoring healthcare system. Audio, Transactions of the IRE Professional Group on, pages 371--374, August 2011.
[77] M Ade, N Doulamis, S S Wagle, and M G Ullah. TeleHealth: Healthcare technologies and TeleHealth Emergency (THE) system. Audio, Transactions of the IRE Professional Group on, pages 1--4, January 2011.
[78] M A Rahman, M F Alhamid, A El Saddik, and W Gueaieb. A Framework to bridge social network and body sensor network: An e-Health perspective. IEEE International Conference on Multimedia. Proceedings, pages 1724--1727, December 2008.
[79] Z Li and G Zhang. A Physical Activities Healthcare System Based onWireless Sensing Technology. IEEE International Conference on Embedded and Real-Time Computing Systems and Applications. Proceedings, pages 369--376, August 2007.
[80] A Hornsby and R Walsh. From instant messaging to cloud computing, an XMPP review. Consumer Electronics (ISCE), 2010 IEEE 14th International Symposium on, pages 1--6, 2010.
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