Parçacık foton ve blynk ıot kullanarak şeylerin internetine göre hayati belirtilerin ve etkilenen çevresel faktörlerin izlenmesi
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Abstract (EN)
Vital signs are indicator for recognizing a person's health. The increasing in body temperature, Saturation of Peripheral Oxygen (Spo2) or heart rate denote the presence of a pathological condition. The Internet of Things (IoT) role in the healthcare field has become an important role. This thesis aims to produce a healthcare system based on IoT using special sensors and Particle Photon, to monitoring the patient. In comparison with traditional measurement devices, the total average accuracy rates of body temperature, Spo2 and the heart rate sensors used were approximately 99.99%, 99.99% and 99.99% respectively for 25 cases. Then the same 25 cases with increasing in the temperature and humidity values of environment, the total average accuracy rates of body temperature, Spo2 and the heart rate sensors used were approximately 99.99%, 100% and 99.99%. In addition, two set of readings recorded from 7 cases, the first set recorded under the normal air quality while the second set recorded inside a room that polluted with cigarette smoke, the percentage of pollution in the air increases
Author
Anas Mohammed Younus Alfarha
Institution

Altınbaş University
Elektrik ve Bilgisayar Mühendisliği Bilim Dalı
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Anas Mohammed Younus Alfarha (Master Thesis). Parçacık foton ve blynk ıot kullanarak şeylerin internetine göre hayati belirtilerin ve etkilenen çevresel faktörlerin izlenmesi, 2023, Altınbaş University.
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