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All Journal International Journal of Advanced Health Science and Technology Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Wakidi, Levana Forra
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Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Health Professions Materials Science & Nanotechnology Nursing Public Health Other

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Design and Development of Flow Analyzer for Peak Inspiratory Flow (PIF) and Peak Expiratory Flow (PEF) Parameters Pambudi, Andri Lazuardi Wahyu; Yulianto, Endro; Wakidi, Levana Forra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i3.176

Abstract

This research study focused on the development and testing of a flow analyzer for monitoring the PIF (Peak Inspiratory Flow) and PEF (Peak Expiratory Flow) parameters in patients undergoing mechanical ventilation. These parameters are crucial for managing respiratory diseases like asthma and COPD. The study aims to ensure the accuracy of ventilator information provided to users by periodically testing and calibrating the ventilator using the flow analyzer. The primary contribution of this research is the utilization of the AFM3000 flow sensor to measure PIF and PEF parameters. By using this sensor, the researchers intend to enhance the accuracy of ventilator readings. The study was conducted in Volume Control (VC) mode with various VT (Tidal Volume) settings, ranging from 200 to 600 mL. Two different methods of data collection were employed to gather two sets of data. From the first data collection, the largest discrepancies in reading PIF and PEF values were found to be 3.49% and 2.99%, respectively. In the second data collection, the sensor exhibited a consistent reading for a constant flow of ±0.1 LPM (Liters Per Minute), indicating stability. The research findings suggest that the AFM3000 flow sensor demonstrates good accuracy and stability in measuring PIF and PEF parameters. Furthermore, the sensor is sensitive and has a minimal delay, making it suitable for real-time graph display in the module. Overall, this study contributes to the field of medical technology by developing and validating a flow analyzer for monitoring PIF and PEF parameters in mechanical ventilation. The research showcases the potential of the AFM3000 flow sensor to improve the accuracy and reliability of ventilator information, ultimately benefiting patients with respiratory disorders.
Co-Authors Aamir, Hafsa Adam, Madeha Ishag Amrinsani, Farid Anita Miftahul Maghfiroh Assalim Tetra Putra, Moch. Prastawa Bambang Guruh Irianto Dewiningrum, Riqqah Endarta, Ade Ryan Endro Yulianto Farid Amrinsani KHOLIQ, ABD. Maghfiroh, Anita Mifthahul Maulani, Salsabilla Kusuma Misra, Shubhrojit Nyatte, Steyve P, Chandrasekaran Pambudi, Andri Lazuardi Wahyu Prasetyo, Eko Dedi Sadiq, Muhammad Tariq Setiawan, Singgih Yudha Suryanta, Made Dwi Pandya Syaifudin Syaifudin, Syaifudin Wafa, Muhammad Ali Wahyu Caesarendra Wulandari, Dessy Tri Yudha Setiawan, Singgih Zeha, Alfi Nur