Smart Cardiac Monitoring and Assisting System
R. Kavitha Sudha1, S. Siddharth2, K. Hari Keerthana3, Radhika Baskar4, Sivani. P.5
1R. Kavitha Sudha, Assistant Professor, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2S. Siddharth, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3K. Hari Keerthana, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Radhika Baskar, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai (Tamil Nadu), India.
5P. Sivani, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 08 September 2019 | Revised Manuscript received on 17 September 2019 | Manuscript Published on 11 October 2019 | PP: 20-24 | Volume-8 Issue-11S September 2019 | Retrieval Number: K100409811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1004.09811S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The ever-increasing population trend of today’s world expects rapid technological developments to cater to the needs and challenges faced by humanity. The integration of medicine and engineering has made detection and prevention of cardiac health conditions and complications simpler. Worldwide, a majority of people are dying as a result of deteriorating cardiac health and the reason is due to improper monitoring and inadequate care during this period. The existing system can only be used for monitoring the current condition of the patient in the care units such as ICUs of hospitals, and the system is static and cannot be moved. In the proposed system, a MATLAB based patient health analysis system is implemented to help analyze and predict the future health of the patient based on collected cardiac data. The data is retrieved from the IoT server and alerts the patient at frequent intervals of time.
Keywords: Smart Monitoring System Health Analysis Integration.
Scope of the Article: Smart Spaces