New methodology to detect the effects of emotions on different biometrics in real time Article Swipe

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Yahia Zakria Abd Elgawad , Mohamed Youssef , Tarek Mahmoud Nasser ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.11591/ijece.v13i2.pp1358-1366

Recently, some problems have appeared among medical workers during the diagnosis of some diseases due to human errors or the lack of sufficient information for the diagnosis. In medical diagnosis, doctors always resort to separating human emotions and their impact on vital parameters. In this paper, a methodology is presented to measure vital parameters more accurately while studying the effect of different human emotions on vital signs. Two designs were implemented based on the microcontroller and National Instruments (NI) myRIO. Measurements of four different vital parameters are measured and recorded in real time. At the same time, the effects of different emotions on those vital parameters are recorded and stored for use in analysis and early diagnosis. The results proved that the proposed methodology can contribute to the prediction and diagnosis of the initial symptoms of some diseases such as the seventh nerve and Parkinson’s disease. The two proposed designs are compared with the reference device (beurer) results. The design using NI myRIO achieved more accurate results and a response time of 1.4 seconds for real-time measurements compared to its counterpart based on microcontrollers, which qualifies it to work in intensive care units.

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Artificial Intelligence

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Microcontroller Computer science Vital signs Biometrics Measure (data warehouse) Artificial intelligence Simulation Real-time computing Medicine Data mining Embedded system Surgery

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Type: article
Language: en
Landing Page: https://doi.org/10.11591/ijece.v13i2.pp1358-1366
PDF: https://ijece.iaescore.com/index.php/IJECE/article/download/27731/16335
OA Status: diamond
Cited By: 2
References: 29
Related Works: 10
OpenAlex ID: https://openalex.org/W4311537411

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DOI: https://doi.org/10.11591/ijece.v13i2.pp1358-1366

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Title: New methodology to detect the effects of emotions on different biometrics in real time

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-12-11

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Authors: Yahia Zakria Abd Elgawad, Mohamed Youssef, Tarek Mahmoud Nasser

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Landing page: https://doi.org/10.11591/ijece.v13i2.pp1358-1366

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PDF URL: https://ijece.iaescore.com/index.php/IJECE/article/download/27731/16335

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Concepts: Microcontroller, Computer science, Vital signs, Biometrics, Measure (data warehouse), Artificial intelligence, Simulation, Real-time computing, Medicine, Data mining, Embedded system, Surgery

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Cited by: 2

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