HEALTH MONITORING SYSTEM BASED ON WIRELESS BODY AREA NETWORKS

Jin-Xin Hu, Chin-Ling Chen, Chun-Long Fan and Kun-hao Wang, “An Intelligent and Secure Health Monitoring Scheme Using IoT Sensor Based on Cloud Computing,” Journal of Sensors, 2017, Article ID 3734764.
Damian Dziak, Bartosz Jachimczyk and Wlodek J. Kulesza,”IoT-Based Information System for Healthcare Application: Design Methodology Approach,” Appl. Sci. 2017, Basel, Switzerland
C.-L. Chen, T.-T. Yang, and T.-F. Shih, “A secure medical data exchange protocol based on cloud environment,” Journal of Medical Systems, vol. 38, no. 9, article 112, 2014.
P. Tudor, W. Martin, B. Natalia, P. Zeeshan, and B. Leon, “Ambient Health Monitoring: the smartphone as a body sensor network component,” Innovation in Medicine and Healthcare Inmed, vol. 6, no. 1, pp. 62–65, 2013.
Z.-Y. Wu, Y.-C. Lee, F. Lai, H.-C. Lee, and Y. Chung, “A secure authentication scheme for telecare medicine information systems,” Journal of Medical Systems, vol. 36, no. 3, pp. 1529–1535, 2012.
Arunkumar, R. and Balakrishnan, N., 2018. Medical image classification for disease diagnosis by DBN methods. Pakistan Journal of Biotechnology, 15(1), pp.107-110.
Nagaraj, B. and Vijayakumar, P., 2012. Controller tuning for industrial process-a soft computing approach. Int J Adv Soft Comput Appl, 4(2), pp.42-52.
S. Sahaa and S. Kumar Tomar, “Issues in transmitting physical health information in m-healthcare,” International Journal of Current Engineering and Technology, vol. 3, no. 2, pp. 411–413, 2013.
Q. Pu, J. Wang, and R.-Y. Zhao, “Strong authentication scheme for telecare medicine information systems,” Journal of Medical Systems, vol. 36, no. 4, pp. 2609–2619, 2012.
Emil Jovanov, DejanRaskovic, John Price, John Chapman, Anthony Moore, AbhbehekKrbehnamurthy, “Patient Monitoring Using Personal Area Networks of Wireless Intelligent Sensors”.
International Cardiovascular DbeeaseStatbetics, Statbetical Fact Sheet-2007 Update’, American Heart Association, Dallas, Texas, 2007
Sethuramalingam, T.K. and Nagaraj, B., 2015. A soft computing approach on ship trajectory control for marine applications. ARPN J Eng Appl Sci, 10(9), pp.4281-4286.
Nagaraj, B. and Vijayakumar, P., 2012. Bio inspired algorithm for PID controller tuning and application to the pulp and paper industry. Sensors & Transducers, 145(10), p.149.
Nagaraj, B. and Vijayakumar, P., 2012. Evolutionary computation based controller tuning—a comparative approach. Int J Indian Pulp Paper Tech Assoc, 24(2), pp.85-90..
Lai Khin Wee, Yeo KeeJiar, EkoSupriyanto “Electrocardiogram Data Capturing System and Computerized Digitization using Image Processing Techniques” International Journal of Biology and Biomedical Engineering Besue 3, Volume 3, 2009
Khoór S, Nieberl J, Fügedi K, Kail E ‘Internet based, GPRS, longterm ECG monitoring and nonlinear heart-rate analysbe for cardiovascular telemedicine management’ Computers in Cardiology 2003;28:209-212.
LjupˇcoHadˇzievski, BoˇskoBojovic´, VladanVukˇcevic´, PetarBeliˇcev, SiniˇsaPavlovic´, ZoranaVasiljevic´-Pokrajˇcic´, and MiodragOstojic´’A Novel Mobile Transtelephonic System With Synthesized 12-Lead ECG’ IEEE Transaction on Information Technology in Biomedicine, Volume 8, 2004.
Dr.R.Sukanesh, S.Palanivelrajan, S.Vijayprasath, S.Janardhanaprabhu and P.Subathra ‘gsm based ecgtele-alert system’, Department of Electronics and Communication Engineering, Dept. of Electron. & Commun. Eng., Thiagarajar Coll. of Eng., Madurai, India Innovative Computing Technologies (ICICT), International Conference 2010
Nagaraj, B. and Vijayakumar, P., 2012. Soft computing based PID controller design for consistency control in paper making. Int J Indian Pulp Paper Tech Assoc, 24(2), pp.85-90.
Balakrishnan, N., Rajendran, A. and Palanivel, K., 2019. Meticulous fuzzy convolution C means for optimized big data analytics: adaptation towards deep learning. International Journal of Machine Learning and Cybernetics, 10(12), pp.3575-3586.
AD8232 ECG Module Pinout, Features and Datasheet, https://components101.com/modules/ad8232-ecg-module.