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_e _e _aFlorendo, Elyssa Joy N.; Francisco, Marion Angelo V.; Fulgencio, Meydard Xylon R. and Sinfuego, Ian C. _d _b4 _u _c0 _q16 |
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_a _aOut-patient heart monitoring system using the concept of the internet of thing (iHeart) / _d _b _n _cFlorendo, Elyssa Joy N.; Francisco, Marion Angelo V.; Fulgencio, Meydard Xylon R. and Sinfuego, Ian C. _h6 _p |
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_3 _3 _a _d _b _cMarch 2017.46 |
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_e _e _c28 cm. _a151 pp. _b |
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_a _aThesis: (Bachelor of Science in Computer Engineering) - Pamantasan ng Lungsod ng Maynila, 2017. _d _b _c56 |
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_b _b _c _aABSTRACT: In the Philippines, 87,881 people die of heart attack. It is 16.86% of the Philippines population. Electrocardiogram (ECG) tracing plays a vital role in diagnosis whether a patient is prone to heart disease. Some cardiac failures are not detected by simply taking an ECG test for it only shows a portion of the patient's electrical heart activity. Therefore, constant monitoring of the heart's electrical activity is essential especially for patients with cardiovascular disease. However, existing devices only allows the patient to be monitored within the bounds of the hospital and are very expensive . This study presents iHeart; a low-cost heart monitoring system which uses the concept of Internet of Things for patients who wish to be monitored at home. In this system, an Atmega328 was used to process the signal being taken by the ECG sensor. This signal is sent via Bluetooth to a developed mobile application installed in a smartphone. Then, the data is sent real-time to a cloud database using Internet. A web application is developed that can display the ECG tracing of the patient. This allows the physician to monitor his patients heart activity and send diagnosis through the web. Also, the mobile and web application can send alerts via Short Message Service (SMS) to registered numbers using an Application Program Interface (API). This system is designed to make it usable purpose. The ECG tracing from the web application was shown and verified to alicensed cardiologist. The tracing obtained from iHeart versus the existing ECG machine showed 10 out of 12 comparable results. _u |
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