Abstract: Heart attack is a global leading cause of death for both gender and the occurrence is not always known to us. Usually Heart Rate Calculation has traditionally been conducted using specialized hardware or device. It used most commonly in the form of pulse dosimeters or Electrocardiogram devices. Though these devices have higher method and they are reliable to normal user. However, these devices require users to perform their process. In this paper, we propose a system capable of estimating the heart beat rate using just a camera from a commercially available smart phone and also using a mobile stethoscope to record heart sound for detecting the occurrence of heart attack and also some other heart related disease. Fuzzy Logic is used here, which is a part of Data Mining, the expert problem solution for human illness. In general, case people could not understand whenever they face this problem and this is the main cause of death. Our research is about to determine this problem earlier to reduce the death rate of heart attack. The advantage of this method is that the user does not need specialized hardware and he/she can take a measurement in virtually any place under almost any circumstances. In addition, the measurement can be used as a tool for health coaching applications or effective tableware services aimed in enhancing the user’s well being.
Keywords: Data mining; fuzzy logic; smart phone; pulse detection; heart sound detection
Title: SMART PHONES DETECTS HEART ATTACK
Author: R.NITHYA
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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