Hrudyalysis: A Novel Cloud-Based ECG Analytics Method
Radha B. K1, Bharati Harsoor2, Rupam Das3

1Mrs. Radha B. Kalaskar, Assistant Professor in Department of Computer Science and Engineering at PDA College of Engineering, Gulbarga, Karnataka ,India.
2Dr. Bharati Harsoor, Professor and Head, Department of Information Science, PDA College of Engineering, Gulbarga, Karnataka, India.
3Mr. Rupam Das, B.E from SIT Tumukur, Karnataka and M.Tech degree from VTU University, Belguam.

Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 1443-1448 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4711098319/2019©BEIESP | DOI: 10.35940/ijrte.C4711.098319
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Abstract: Nowadays, people live in a world that is quite fast paced and competitive. All are running behind the money and success under the stress and fear of falling behind the race ignoring our health. Lack of physical activity due to shortage of time and acquiring the habit of intoxication for the purpose of releasing this stress make the matter worse for our heart. These are the two primary reasons for heart diseases in case of urban people. On the other hand, as the percentage of people staying in rural areas is more than urban areas, the people of rural India also suffer from heart diseases. Acquisition of urban lifestyle by rural people and inaccessibility to costly healthcare services are the two most important reasons for increasing rate of heart diseases in rural India. Even young adults are falling prey to heart diseases in an alarming rate. In short, the problem of heart-related diseases is being evolved as a matter of great concern in context to the Indian Territory. According to the WHO, coronary artery disease will take the form of epidemic in India by the year 2022. So, we need fast, efficient and low-cost devices for beforehand identification of symptoms related to the heart diseases. The most common device to identify and diagnose heart related diseases is the conventional 12-lead ECG device. But, there are various factors that pose complexities in diagnosing cardiovascular diseases by the 12-lead ECG devices. It is a costly device and it needs a trained person for handling complex and burdensome diagnosis method. In the context of unavailability of enough trained medical people this can be a great hindrance in preventing the epidemic of coronary artery diseases. So, in this research work, a single lead ECG device has been proposed which is of low-cost and diagnosis of cardiovascular diseases is carried out with the aid of a cloud computing environment.
Keywords: Electrocardiogram (ECG), Cardio Health Disease (CHD), Application Programming Interface(API) Pulse Arrival Time (PAT), Pulse Wave Velocity (PWV).

Scope of the Article:
Logic, Functional programming and Microcontrollers for IoT