Abstract

Now-a-days, if we compare the population and number of diseases, we find that, the count of diseases is more than today's population, so death-rate is rising. So as to avoid this, Timely treatment is necessary. This paper explores machine, which gives special care for ambulatory patient, providing immediate message in case of emergency. To indicate emergency treatment, ULN device is used. It reduces human efforts. This system focuses on physiological vital parameter such as temperature and heart rate. Sensors which are used for the patient sends data to android mobile via Bluetooth and also updates database on computer.

References

• Wagner, M. ; Kuch, B. ; Cabrera, C. ; Enoksson, P. ; Sieber, A. , "Android based Body Area Network for the evaluation of medical parameters,"IEEE, Intelligent Solutions in Embedded Systems (WISES), 2012 Proceedings of the Tenth Workshop on , vol. , no. , pp. 33,38, 5-6 July 2012.
• Lei Clifton. ; "Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors", IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 18, NO. 3, MAY 2014.
• Ran Wei. ; "Design and Implementation of Doctor-Patient Interaction System Based on Android", INTERNATIONAL SYMPOSIUM ON INFORMATION TECHNOLOGY IN MEDICINE AND EDUCATIO0N 2012
• G. Clifford andD. Clifton, "Annual review: Wireless technology in diseasestate management and medicine," Annu. Rev. Med. , vol. 63, pp. 479–492, 2012.
• Challa, S. ; Geethakumari, G. ; Prasad, C. S. N. , "Patient Data Viewer: An Android application for healthcare", India Conference (INDICON), 2011 Annual IEEE, vol. , no. , pp. 1,4, 16-18 Dec. 2011,doi: 10. 1109/INDCON. 2011. 613964
• G. Clifford andD. Clifton, "Annual review:Wireless technology in disease state management and medicine", Annu. Rev. Med. , vol. 63, pp. 479–492, 2012.
• Jinfeng Zhang; Canfeng Chen; Jian Ma; Nengqiang He; Yong RenuSink: "Smartphone-based mobile sink for wireless sensor networks",Consumer Communications and Networking Conference (CCNC), 2011IEEE, pp. 90-95, 9-12 Jan. 2011
• CHENG Chun-Iei, PAN Ze-qiang, "Research of chinese traditional medicine embeded information system based on android platform", Manufacturing Automation. pp 136-138. January 2011.
• L. Tarassenko, D. Clifton, M. Pinsky, M. Hravnak, J. Woods, and P. Watkinson, "Centile-based early warning scores derived from statistical distributions of vital signs", Resuscitation, vol. 82, no. 8, pp. 1013–1018, 2011.
• A. Pantelopoulos and N. Bourbakis, "A survey on wearable sensor-based systems for health monitoring and prognosis", IEEE Trans. Syst. , Man, Cybern. C, Appl. Rev. , vol. 40, no. 1, pp. 1–12, Jan. 2010.
• V. Nangalia, D. Prytherch, and G. Smith, "Health technology assessment review: Remote monitoring of vital signs—current status and future challenges",Crit. Care, vol. 14, no. 5, pp. 1–8, 2010.
• Frank Sposaro and Gary Tyson, "iFall: An android application for fall monitoring and response", 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1:6119–22, 2009.