A proposed system for the prediction of coronary heart disease using raspberry pi 3

Abstract

Technology is being used everywhere in our daily life to fulfill our requirements and aid our lives in every sphere including communication, traveling, entertainment, etc. But it has not been used up to its full potential in the field of health care. Real-time monitoring of patients and doctors is the primary concern of any healthcare facility and the conventional methods used in the hospitals are not being able to address these concerns efficiently. Our proposed system aims to provide a better service to the patients as compared to the conventional methods. It comprises of sensors for measuring temperature and pulse rate. A processor working in synchronization monitors the vitals of the patient and sends the captured data to the personal digital assistant (PDA) of head nurse and the doctors. In the PDA, an intelligent application gives statistical data of the vitals of patient in real-time manner. This data is used to analyze the health condition of patient over a period of time as well as monitor the patient in a real-time environment, remotely. We are also incorporating a coronary heart disease (CHD) predicting mechanism to determine whether a patient is susceptible to CHD. This mechanism is based on the concept of Traditional Chinese Medicine (TCM), which states that a large number of diseases (immaterial of the amount of severity they pose) can be diagnosed by sensing the pulse variations. This methodology is the foundation on which support vector machine (SVM) is predicting CHD in patients.