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：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

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

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, 劉靜.手機無線心電監測技術系統的實現及性能測評[J].中國醫療器械雜志, 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.一種基于智能手機的新移動醫療系統模式[J].計算機應用研究, 2013, 30(7): 2055-2060.
17.	鄭兵, 宋福群.移動遠程醫療系統的研究[J].中國現代醫學雜志, 2007, 17(10): 1272-1273.
18.	陳浩, 周連雙, 余結全.一種便攜式心臟遠程監護終端的設計開發及應用[J].生物醫學工程學雜志, 2010, 27(3): 666-670.
19.	陳廷鋆.脈搏波自動檢測及無線通訊技術的研究[D].北京:北京工業大學, 2009.
20.	楊云峰.基于Wi-Fi與Web的生命監護系統的設計與實現[J].計算機測量與控制, 2013, 21(4): 1027-1029, 1032.
21.	趙瑞斌, 孟燕軍, 張瑋, 等.腕佩式心率遠程報警器研制[J].生物醫學工程學雜志, 2013, 30(2): 292-295.
22.	張天翼.藍牙技術在便攜式心電監測儀中的應用研究[D].哈爾濱:哈爾濱工程大學, 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.	高睿鵬, 楊麗瓊, 吳欣宇, 等.一種高能效的OSAS手機監護系統[J].軟件學報, 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.	劉勝前, 陳立定.基于Android平臺的車輛導航系統設計與實現[J].自動化與儀表, 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, 黃大同.利用ECG信號檢測睡眠呼吸暫停的小波包分析方法[J].中國醫學物理學雜志, 2003, 20(4): 260-261, 273.
32.	陳蘇蓉, 王杰華, 朱曉輝, 等.遠程實時健康監護系統呼叫中心關鍵技術研究[J].計算機工程與設計, 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, 劉靜.手機無線心電監測技術系統的實現及性能測評[J].中國醫療器械雜志, 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.一種基于智能手機的新移動醫療系統模式[J].計算機應用研究, 2013, 30(7): 2055-2060.
17. 鄭兵, 宋福群.移動遠程醫療系統的研究[J].中國現代醫學雜志, 2007, 17(10): 1272-1273.
18. 陳浩, 周連雙, 余結全.一種便攜式心臟遠程監護終端的設計開發及應用[J].生物醫學工程學雜志, 2010, 27(3): 666-670.
19. 陳廷鋆.脈搏波自動檢測及無線通訊技術的研究[D].北京:北京工業大學, 2009.
20. 楊云峰.基于Wi-Fi與Web的生命監護系統的設計與實現[J].計算機測量與控制, 2013, 21(4): 1027-1029, 1032.
21. 趙瑞斌, 孟燕軍, 張瑋, 等.腕佩式心率遠程報警器研制[J].生物醫學工程學雜志, 2013, 30(2): 292-295.
22. 張天翼.藍牙技術在便攜式心電監測儀中的應用研究[D].哈爾濱:哈爾濱工程大學, 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. 高睿鵬, 楊麗瓊, 吳欣宇, 等.一種高能效的OSAS手機監護系統[J].軟件學報, 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. 劉勝前, 陳立定.基于Android平臺的車輛導航系統設計與實現[J].自動化與儀表, 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, 黃大同.利用ECG信號檢測睡眠呼吸暫停的小波包分析方法[J].中國醫學物理學雜志, 2003, 20(4): 260-261, 273.
32. 陳蘇蓉, 王杰華, 朱曉輝, 等.遠程實時健康監護系統呼叫中心關鍵技術研究[J].計算機工程與設計, 2012, 33(11): 4386-4391.

Previous Article
Method of Detection of Negative Terminology in Chinese Electronic Medical Record
Next Article
Cluster Ensemble Algorithm Based on Dual Neural Gas Applied to Cancer Gene Expression Profiles

Journal of Biomedical Engineering

Design of the Remote Monitoring System of Vital Sign Based on Smartphone and Mobile Internet

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content