Measuring on Physiological Parameters and Its Applications: A Review

Authors

  • Hazzie Zati Bayani Universitas Indonesia
  • Basari Basari Universitas Indonesia

DOI:

https://doi.org/10.26555/jiteki.v10i2.28767

Keywords:

Data Acquisition, Deep Learning, Machine Learning, Physiological Parameter, Portable Device, Wearable Device

Abstract

In providing patient care, it is essential to know the patient’s status to avoid incorrect treatment. Patient status includes various physiological parameters such as heart rate, blood oxygen saturation, blood pressure, body temperature, and respiratory rate. Measuring each physiological parameter requires data collection and analysis. Data acquisition in measuring physiological parameters can be categorized into contact methods, non-contact methods, invasive methods, and non-invasive methods. After data collection, it is crucial to analyze the collected data to ensure accurate and reliable measurements. This analysis can utilize RF signals, PPG signals, machine learning, and deep learning, depending on the specific needs and objectives of the study. This paper aims to identify studies based on types of data acquisition and analysis methods developed. These studies will be reviewed to understand the limitations of the data acquisition methods and analysis methods used. Additionally, this paper will discuss and classify the types of applications developed in these studies over the last five years, focusing on functionality, device design, and body-to-device connectivity. This review will identify whether the studies developed wearable or portable, wired or wireless devices, and their purpose whether for diagnosis, monitoring, or both. This review will also highlight the limitations and provide a brief perspective on future developments.

Author Biographies

Hazzie Zati Bayani, Universitas Indonesia

Hazzie Zati Bayani received the Applied Bachelor’s degree in Electromedical Engineering at Politeknik Health of Jakarta II in 2022. She is currently pursuing a Master’s degree in Biomedical Engineering at Universitas Indonesia focusing on sensors and medical instrumentation development.

Basari Basari, Universitas Indonesia

Basari (IEEE Member 2005-2024) was born in Tegal City, Central Java, Indonesia, in November 1979. He received the B.E. degree in Electrical Engineering from Universitas Indonesia, Jakarta, Indonesia, in 2002 and the M.E. and D.E. degrees in Electrical Engineering from Chiba University, Japan, in 2008 and 2011, respectively. He worked at Radio Network Planning of PT Indonesian Satellite Corporation Tbk (Indosat Co.Ltd) and Radio Network Operation of PT Telkomsel, Indonesia, from 2003 to 2004. He joined the Faculty of Engineering, Universitas Indonesia, in Sep. 2011 and became a Permanent Faculty Member in 2012. His main interests currently are in the areas of biomedical engineering (informatics, diagnosis, and therapy), microwave medical imaging, MRI system, microstrip antennas, planar arrays, microwave medical devices, radar applications, metamaterials, MIMO antennas, reconfigurable antennas, RFIDs, UWB antennas, nano-satellite, microwave circuits, reflectarray, mobile satellite antennas. Dr. Basari was secretary of the IEEE MTT/AP Indonesia Chapter from 2012 to 2015. In 2016 and 2017, he was vice-chair of IEEE MTT/AP-S Joint Chapter Indonesia Section. Starting from 2018 to 2019, he serves as Chair of IEEE MTT/AP-Society Joint Chapter Indonesia Section. He has been General Chair of the International Symposium on Biomedical Engineering (ISBE) 2016. He was the principal editor for the IEEE publication of Quality in Research (QiR) 2017. He is also involved in some technical conferences and a national journal in the area of Engineering and Technology. He was Managing Editor of Makara Journal of Technology from 2016 to 2018. Now, he has been Editor in Chief in the same Journal (Makara Journal of Technology, Universitas Indonesia) since 2018. From 2018 to 2021 and 2022-present, he also serves as a Head of Biomedical Engineering Programs in the Department of Electrical Engineering, UI. He was a recipient of IEEE AP-Society Japan Chapter Young Engineer Award, Who’s Who in the World, Dean Award of Chiba University, APRASC-URSI Young Scientist Award, the 2015 QiR Best Paper Award, FTUI Dean for Covid-19 Product Innovation, Product license, royalty, and UI Rector Award for commercial product’s royalty, in 2010, 2011, 2011, 2013, 2015, 2020, 2021, 2022, and 2023 respectively.

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Published

2024-07-10

How to Cite

[1]
H. Z. Bayani and B. Basari, “Measuring on Physiological Parameters and Its Applications: A Review”, J. Ilm. Tek. Elektro Komput. Dan Inform, vol. 10, no. 2, pp. 385–405, Jul. 2024.

Issue

Vol. 10 No. 2 (2024): June

Section

Articles

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