Design of the Remote Monitoring System of Vital Sign Based on Smartphone and Mobile Internet_Journal of Biomedical Engineering

Authors：

 WENChuanxue , ZHOUHongjian , ZHANGJunfei

Department of Information Technology, Guangzhou Medical University, Guangzhou 510182, China;

Corresponding author：

WENChuanxue, Email: wenchuanxue@gzhmu.edu.cn

Keywords：

smartphone; remote monitor; physiological parameter; Android

DOI：

10.7507/1001-5515.20150016

Video：

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The present paper presents the design of a remote monitoring system based on smartphone and mobile internet. The system can realize functions such as multi-physiological parameter collection, micromation of collecting equipment, real-time monitoring, remote data transmission, automatic alarm, physiological parameter analyze and Global Position System (GPS) location of patient's position. Besides acting as a receiver and transmission platform, smartphone can also process and analyze the physiological parameters, such as detection of the apnea from electrocardiogram (ECG). The system contains technologies of MCU, Bluetooth transmission, Android and Wed development, wavelet transform, mobile communication as a whole. It propels further developments of the remote mobile medical based on smartphone.

Citation： WENChuanxue, ZHOUHongjian, ZHANGJunfei. Design of the Remote Monitoring System of Vital Sign Based on Smartphone and Mobile Internet. Journal of Biomedical Engineering, 2015, 32(1): 86-92. doi: 10.7507/1001-5515.20150016 Copy

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9.	PARÉ G, JAANA M, SICOTTE C. Systematic review of home telemonitoring for chronic diseases: the evidence base[J]. J Am Med Inform Assoc, 2007, 14(3): 269-277.
10.	ZHENG H R, NUGENT C, MCCULLAGH P, et al. Smart self management: assistive technology to support people with chronic disease[J]. J Telemed Telecare, 2010, 16(4): 224-227.
11.	HII P C, CHUNG W Y. A comprehensive ubiquitous healthcare solution on an Android^TM mobile device[J]. Sensors (Basel), 2011, 11(7): 6799-6815.
12.	BOUROUIS A, FEHAM M, BOUCHACHIA A. A new architecture of a ubiquitous health monitoring system:a prototype of cloud Mobile health monitoring system[J]. arXiv preprint arXiv, 2012:1205.6910.
13.	SUNG W T, CHIANG Y C. Improved particle swarm optimization algorithm for Android medical care IOT using modified parameters[J]. J Med Syst, 2012, 36(6): 3755-3763.
14.	CHALLA S, GEETHAKUMARI G, PRASAD C S N. Patient data viewer: an Android application for healthcare[C]//2011 Annual IEEE India Conference (INDICON). Hyderabad: 2011: 1-4.
15.	REHUNATHAN D, BHATTI S, CHANDRAN O, et al. vNurse: using virtualisation on mobile phones for remote health monitoring[C]//2011 13th IEEE International Conference on e-Health Networking Applications and Services (Healthcom). Columbia, MO, USA:?2011: 82-85.
16.	孟濬, 朱天宇.一种基于智能手机的新移动医疗系统模式[J].计算机应用研究, 2013, 30(7): 2055-2060.
17.	郑兵, 宋福群.移动远程医疗系统的研究[J].中国现代医学杂志, 2007, 17(10): 1272-1273.
18.	陈浩, 周连双, 余结全.一种便携式心脏远程监护终端的设计开发及应用[J].生物医学工程学杂志, 2010, 27(3): 666-670.
19.	陈廷鋆.脉搏波自动检测及无线通讯技术的研究[D].北京:北京工业大学, 2009.
20.	杨云峰.基于Wi-Fi与Web的生命监护系统的设计与实现[J].计算机测量与控制, 2013, 21(4): 1027-1029, 1032.
21.	赵瑞斌, 孟燕军, 张玮, 等.腕佩式心率远程报警器研制[J].生物医学工程学杂志, 2013, 30(2): 292-295.
22.	张天翼.蓝牙技术在便携式心电监测仪中的应用研究[D].哈尔滨:哈尔滨工程大学, 2008.
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24.	高睿鹏, 杨丽琼, 吴欣宇, 等.一种高能效的OSAS手机监护系统[J].软件学报, 2012, 23(Suppl 2): 193-203.
25.	LIANG K, ZHANG X, WANG Y, et al. A system of portable ECG monitoring based on Bluetooth mobile phone[C]//2011 International Symposium on IT in Medicine and Education (ITME). Guangzhou: 2011, 2: 309-312.
26.	ALQASSIM S, GANESH M, KHOJA S, et al. Sleep apnea monitoring using mobile phones[C]//2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom). Beijing, China: 2011: 443-446.
27.	刘胜前, 陈立定.基于Android平台的车辆导航系统设计与实现[J].自动化与仪表, 2012, 27(4): 1-4.
28.	SWEENEY K T, MITCHELL E, GAUGHRAN J, et al. Identification of sleep apnea events using discrete wavelet transform of respiration, ECG and accelerometer signals[C]//2013 IEEE International Conference on Body Sensor Networks (BSN). Cambridge, MA, USA: 2013: 1-6.
29.	GUBBI J, KHANDOKER A, PALANISWAMI M. Classification of sleep apnea types using wavelet packet analysis of short-term ECG signals[J]. J Clin Monit Comput, 2012, 26(1): 1-11.
30.	MENDEZ M O, CORTHOUT J, VAN HUFFEL S, et al. Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis[J]. Physiol Meas, 2010, 31(3): 273-289.
31.	周洪建, 黄大同.利用ECG信号检测睡眠呼吸暂停的小波包分析方法[J].中国医学物理学杂志, 2003, 20(4): 260-261, 273.
32.	陈苏蓉, 王杰华, 朱晓辉, 等.远程实时健康监护系统呼叫中心关键技术研究[J].计算机工程与设计, 2012, 33(11): 4386-4391.

1. KUO Y S, VERMA S, SCHMID T, et al. Hijacking power and bandwidth from the mobile phone's audio interface[C]//Proceedings of the First ACM Symposium on Computing for Development. New York: ACM, 2010: 24.
2. GUPTA S, CHANG P, ANYIGBO N, et al. MobileSpiro: Portable open-interface spirometry for Android[C]//Proceedings of the 2nd Conference on Wireless Health. New York: ACM, 2011: 4.
3. LATHIA N. Using idle moments to record your health via mobile applications[C]//Proceedings of the 1st ACM Workshop on Mobile Systems for Computational Social Science. New York: ACM, 2012: 22-27.
4. LIN Y H, LIN Z M, HSU Y T, et al. A mobile intelligent blood pressure monitor based on the Android smartphone[M]//CHANG R S, KIM T H, PENG S L. Security-enriched urban computing and smart grid. Berlin Heidelberg: Springer Berlin Heidelberg, 2011: 178-187.
5. FAHIM M, FATIMA I, LEE S Y, et al. Daily Life activity tracking application for smart homes using Android smartphone[C]//2012 14th International Conference on Advanced Communication Technology (ICACT). PyeongChang: 2012: 241-245.
6. SILVA B M, LOPES I M, RODRIGUES J J P C, et al. SapoFitness: A mobile health application for dietary evaluation[C]//2011 13th IEEE International Conference on e-Health Networking Applications and Services (Healthcom). Columbia, MO: 2011: 375-380.
7. POSTOLACHE O, GIRAO P S, RIBEIRO M, et al. Enabling telecare assessment with pervasive sensing and Android OS smartphone[C]//2011 IEEE International Workshop on Medical Measurements and Applications Proceedings (MeMeA). Bari: 2011: 288-293.
8. 于洋, 刘静.手机无线心电监测技术系统的实现及性能测评[J].中国医疗器械杂志, 2010, 34(6): 391-395.
9. PARÉ G, JAANA M, SICOTTE C. Systematic review of home telemonitoring for chronic diseases: the evidence base[J]. J Am Med Inform Assoc, 2007, 14(3): 269-277.
10. ZHENG H R, NUGENT C, MCCULLAGH P, et al. Smart self management: assistive technology to support people with chronic disease[J]. J Telemed Telecare, 2010, 16(4): 224-227.
11. HII P C, CHUNG W Y. A comprehensive ubiquitous healthcare solution on an Android^TM mobile device[J]. Sensors (Basel), 2011, 11(7): 6799-6815.
12. BOUROUIS A, FEHAM M, BOUCHACHIA A. A new architecture of a ubiquitous health monitoring system:a prototype of cloud Mobile health monitoring system[J]. arXiv preprint arXiv, 2012:1205.6910.
13. SUNG W T, CHIANG Y C. Improved particle swarm optimization algorithm for Android medical care IOT using modified parameters[J]. J Med Syst, 2012, 36(6): 3755-3763.
14. CHALLA S, GEETHAKUMARI G, PRASAD C S N. Patient data viewer: an Android application for healthcare[C]//2011 Annual IEEE India Conference (INDICON). Hyderabad: 2011: 1-4.
15. REHUNATHAN D, BHATTI S, CHANDRAN O, et al. vNurse: using virtualisation on mobile phones for remote health monitoring[C]//2011 13th IEEE International Conference on e-Health Networking Applications and Services (Healthcom). Columbia, MO, USA:?2011: 82-85.
16. 孟濬, 朱天宇.一种基于智能手机的新移动医疗系统模式[J].计算机应用研究, 2013, 30(7): 2055-2060.
17. 郑兵, 宋福群.移动远程医疗系统的研究[J].中国现代医学杂志, 2007, 17(10): 1272-1273.
18. 陈浩, 周连双, 余结全.一种便携式心脏远程监护终端的设计开发及应用[J].生物医学工程学杂志, 2010, 27(3): 666-670.
19. 陈廷鋆.脉搏波自动检测及无线通讯技术的研究[D].北京:北京工业大学, 2009.
20. 杨云峰.基于Wi-Fi与Web的生命监护系统的设计与实现[J].计算机测量与控制, 2013, 21(4): 1027-1029, 1032.
21. 赵瑞斌, 孟燕军, 张玮, 等.腕佩式心率远程报警器研制[J].生物医学工程学杂志, 2013, 30(2): 292-295.
22. 张天翼.蓝牙技术在便携式心电监测仪中的应用研究[D].哈尔滨:哈尔滨工程大学, 2008.
23. LIU J, SUN G M, ZHAO D Q, et al. MCU-controlling based Bluetooth data transferring system[J]. Procedia Eng, 2012, 29: 2109-2115.
24. 高睿鹏, 杨丽琼, 吴欣宇, 等.一种高能效的OSAS手机监护系统[J].软件学报, 2012, 23(Suppl 2): 193-203.
25. LIANG K, ZHANG X, WANG Y, et al. A system of portable ECG monitoring based on Bluetooth mobile phone[C]//2011 International Symposium on IT in Medicine and Education (ITME). Guangzhou: 2011, 2: 309-312.
26. ALQASSIM S, GANESH M, KHOJA S, et al. Sleep apnea monitoring using mobile phones[C]//2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom). Beijing, China: 2011: 443-446.
27. 刘胜前, 陈立定.基于Android平台的车辆导航系统设计与实现[J].自动化与仪表, 2012, 27(4): 1-4.
28. SWEENEY K T, MITCHELL E, GAUGHRAN J, et al. Identification of sleep apnea events using discrete wavelet transform of respiration, ECG and accelerometer signals[C]//2013 IEEE International Conference on Body Sensor Networks (BSN). Cambridge, MA, USA: 2013: 1-6.
29. GUBBI J, KHANDOKER A, PALANISWAMI M. Classification of sleep apnea types using wavelet packet analysis of short-term ECG signals[J]. J Clin Monit Comput, 2012, 26(1): 1-11.
30. MENDEZ M O, CORTHOUT J, VAN HUFFEL S, et al. Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis[J]. Physiol Meas, 2010, 31(3): 273-289.
31. 周洪建, 黄大同.利用ECG信号检测睡眠呼吸暂停的小波包分析方法[J].中国医学物理学杂志, 2003, 20(4): 260-261, 273.
32. 陈苏蓉, 王杰华, 朱晓辉, 等.远程实时健康监护系统呼叫中心关键技术研究[J].计算机工程与设计, 2012, 33(11): 4386-4391.

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