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Modern Electronics Wearable Gadgets for Health Monitoring

Anuj Kumar Goel



IOT is being used to interconnect the accessible medical assets and achieved smart, consistent, and useful healthcare service to the citizens. In this paper, IoT architecture adapted for healthcare applications which collects the data and relays it to the cloud where it is processed and analyzed. User will get the feedback that produced by data analysis. Applications are proved by prototype of the proposed architecture. Patients are monitored by the designed technology and make possible care of patient’s health. Using particular sensors, the record is saved and compared with a configurable threshold via microcontroller which is defined by a medical expert who follows the patient; the health of the patient can be monitor anywhere from the world using IoT. Sensors are attached to the body of the patient where it measures the temperature, pulse rate and measured data is given to the controller. The controller compares the measured data with the predefined data in case of emergency if the measured data exceeds the predefined data SMS will be send to the doctor and relatives of the patient.

Keywords: Wearable gadgets, IoT, Thinkspeak

Cite this Article

Anuj Kumar Goel. Modern Electronics Wearable Gadgets for Health Monitoring. Recent Trends in Sensor Research & Technology. 2019; 6(2): 11–16p.


wearable gadgets, IoT, Thinkspeak.

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E. Palantei. A 2.5 GHz wireless ECG system for remotely monitoring heart pulses. Antennas and Propagation, Society International Symposium (APSURSI), IEEE. 2012.

Anuj Kumar Goel. Analytical Modeling and Simulation of Microcantilever based MEMS Devices, Wulfenia Journal, 24(1), 2017.

B. Liu, Gang Shi, and Wei Zhao. The design of portable ECG health monitoring system. IEEE Control and Decision Conference (CCDC), 2017.

R. Chetney. Home healthcare now 21.10 (2003).

. Anuj Kumar Goel, Kuldip Kumar, Dushyant Gupta. Design and Simulation of Microcantilevers for Sensing Applications, IJCA, 11(1),2016.

. Anuj Kumar Goel, Kuldip Pahwa, Dushyant Gupta. Design and Comparative analysis of Different MEMS Microcantlevers, RTSRT, 3(1), 2016.

D. Her Shih, et al. An embedded mobile ECG reasoning system for elderly patients. IEEE Trans. Information Technology in Biomedicine 14.3, 2010.

A. H. M Saod, et al. Android-based elderly support system. Computer Applications and Industrial Electronics (ISCAIE), IEEE Symposium, 2017.

E. Valchinov, A. Antoniou, K. Rotas and N. Pallikarakis. Wear able ECG system for health and sports monitoring. Wireless Mobile Communication and Healthcare (Mobihealth), IEEE International Conference, 2014.

S. Salomi Thomas, A. Saraswat, A. Shashwat, and V. Bharti. Sensing heart beat and body temperature digitally using Arduino. Signal Processing, Communication, Power and Embedded System(SCOPES), IEEE International Conference on, 2016.

Alamsyah, E. Setijadi, I. K. E. Purnama, and M. H. Purnomo. Performance of the routing protocols AODV, DSDV and OLSR in health monitoring using NS3, IEEE International Seminar on Intelligent Technology and Its Application (ISITIA), 2016.

E Upton and G. Halfacree. Raspberry Pi user guide. John Wiley & Sons, 2014.

M. S. B. Bahrudin, R. Abu Kassim, and N. Buniyamin.Development of fire alarm system using raspberry pi and arduinouno. Electrical, electronics and system engineering (iceese), international conference on.IEEE, 2013.

Clinicalgate, The physical examination and its basis in physiology, https://clinicalgate:com/thephysicalexamination-and-its-basis-in-physiology, accessed on 2 July 2018. E3S Web of Conferences 73, (2018) https://doi.o rg/10.1051/e3sconf/201873 ICENIS 2018 12003.



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