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Dr. Esraa Mosleh Ibraheem Soliman Eid :: Publications:

Title:
Smart Healthcare System Based IoT with Frequency Analysis of Heart Rate Data across FFT Algorithm to be used During Covid-19 Pandemic
Authors: aEnas M. AbdAllah, Doaa E. Elmatary, Esraa M. Eid, Adly S.Tag El-Dien
Year: 2022
Keywords: Healthcare, Heart Rate, COVID-19, Fast Fourier Transform “FFT”
Journal: ENGINEERING RESEARCH JOURNAL (ERJ)
Volume: 1
Issue: 51
Pages: pp.88-94
Publisher: Faculty of Engineering at Shoubra
Local/International: Local
Paper Link:
Full paper Esraa Mosleh Ibraheem Soliman Eid_Eng. Enas (1_Smart Healthcare System Based IoT with Frequency Analysis of Heart Rate Data across FFT Algorithmto be used During Covid-19 Pandemic ).pdf
Supplementary materials Not Available
Abstract:

Io T in healthcare system became the major player in providing better medical facilities to patients and doctors. The end purpose of this research is to build a healthcare system dedicated to provide better and faster medical aid to the patients. The suggested system is designed to initially record the patient’s temperature, heart rate pulses and oxygen percent through appropriate medical sensors and circuits. Moreover, it will also provide immediate analysis of the data of the heartbeat rate using FFT algorithm and then compare the results with standard stored data. The outcome of this medical information will be fed to a raspberry-pi controller and then relayed to the appropriate health center destination through the mobile or web-based application, via existing networks, or the internet. The transmitted data is then recorded and monitored and with the help of a doctor’s advice, the patient can then receive fast medical help. The collected data can also be used to help predict chronic disorders or diseases and accordingly preventive measures can be recommended. In the event of sudden heart attacks the situation can immediately be addressed in its preliminary stage based on the actual data and the stored data as past history.

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