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All Journal International Journal of Artificial Intelligence International Journal of Recent Technology and Applied Science (IJORTAS)
Abdulbaqi, Azmi Shawkat
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Journal : International Journal of Artificial Intelligence

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Tele Alert System Based on ECG Signal Using Virtual Instruments Environment Saif Al-din, Saif, M. N.; Mahmood, Sawsan. D; Abdulbaqi, Azmi Shawkat; Panessai, Ismail Yusuf; Yani, Achmad; Manaf, Abdi; Iksan, Nur
International Journal of Artificial Intelligence Vol 9 No 2: December 2022
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0902.464

Abstract

This manuscript addresses the design and implementation of a portable PC-based ECG device. Three electrodes are often employed for ECG recording, with two of them being connected to the patient's chest via the ECG amplifiers' differential inputs. Therefore, every stage of the design takes into account factors like low cost, low power consumption, portability, and simplicity of usage. In this system, the ATMEL Company's ATMEGA 328 low-power microcontroller is investigated for signal processing and delivering digital format to a PC through a serial connection, where it is then displayed utilizing LabVIEWTM SP1 software ( The released version in Feb. 2022). A portable tool that can capture, amplify, filter, and analyze biological signals is this one ECG. The intended device's target beneficiary was the intensive care unit.
Expert System for Diagnosis Coronavirus Disease Elmie Dansy, Sholestica; Yani, Achmad; Manaf, Abdi; Abdulbaqi, Azmi Shawkat; Iksan, Nur
International Journal of Artificial Intelligence Vol 10 No 1: June 2023
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01001.537

Abstract

The latest issue of the disease called COVID-19 has become famous all over the world. Hence, through this problem, it found that this disease have the same symptom with other diseases such as Influenza and also normal flu. Detecting diseases at early stage can enable to overcome and treat them appropriately. This is because many of peoples does not know and does not aware of the symptom of this various diseases. In an effort to address those problems, an Expert System for Corona Earlier Detection has been proposed to help the doctors to detect those various diseases in human body. Through this research, the researcher will held an interview with the doctors to collect data and information about those diseases’ symptoms and also search for the related articles to make sure this research going successfully. The method that will be used in this research is Certainty Factor. To conclude, this system will be useful to the healthcare department as it will give earlier detection when the patient are positively exposed to the disease that is known by Corona.
Co-Authors Elmie Dansy, Sholestica Mahmood, Sawsan. D Manaf, Abdi Murugan, Stephanie Lawrencen Nur Iksan Panessai, Ismail Yusuf Saif Al-din, Saif, M. N. Siva Kumar, Leela Thevi Yani, Achmad