This book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI 2023, October 45, Surabaya, Indonesia). The contents are broadly divided into three main topics (a) Electronics, (b) Biomedical Engineering, and (c) Health Informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the field of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development.
Multi Socket Transmission System Application with Advanced Encryption
Standard Algorithm to Support Confidential Medical Data Security.- The
Application of Virtual Reality Using Kinect Sensor in Biomedical and
Healthcare Environment: A Review.- Automated Taekwondo Kick Classification
using SVM and IMU Sensor on Arduino Nano 33 BLE.- Classification EEG Signal
using Texture Analysis and Artificial Neural Network for Alcoholic
Detection.- CC1101 Network for Healthcare Cyber Physical System on Air
Quality Data Acquisition.- Modelling of Solar Irradiance for Optimal
Solar-Powered Car Performance at EPIC Solar Farm Pathway.- Revolutionizing
Transportation: Analyzing Solar Car Efficiency at EPIC Solar Farm.-
Mathematical Modelling of Electromagnetic Transduction for Optimal Power
Harvesting from Induction Motors.- Comparison of CNN and KNN Methods for
Cataract Classification and Detection Based on Fundus Images.- Design of
Photoplethysmography (PPG)-based Respiratory Rate Measuring Device Through
Peak Calculations.- Automatic Obstructive Sleep Apnea Identification using
First Order Statistics Features of Electrocardiogram and Machine Learning.-
The Power Use of Power Spectrum Density for Measures of Cognitive Performance
Based on Electroencephalography: Systematic Literature Review.- Enhancing
Rice Leaf Disease Classification: A Combined Algorithm Approach for Improved
Accuracy and Robustness.- Improving Unbalanced Security X-Ray Image
Classification using VGG16 and AlexNet with Z-Score Normalization and
Augmentation.
Dr. Triwiyanto received his Doctoral Degree in Electrical Engineering from Gadjah Mada University, Yogyakarta, Indonesia, in 2018. Since 2005, he has been Assistant Professor at the Electromedical Engineering Department, Health Polytechnic Ministry of Health Surabaya, Indonesia. Since 2015, he is IEEE Member and active to join in several international conferences and journals editor. His current research interests include biomedical signal processing, rehabilitation engineering, and surface electromyography (sEMG)-based physical human-robot interactions. Dr. Triwiyanto is previously Chairman and LNEE Book Chapter Editor for International Conference on Electronics, Biomedical Engineering, and Health Informatics 2020 (ICEBEHI 2020); ICEBEHI 2021, and ICEBEHI 2022. Currently, he has published more than 50 documents. Dr. Achmad Rizal received Bachelor of Engineering in telecommunication engineering from STT Telkom (now, Telkom University), Bandung, Indonesia,in 2000. He received masters degree in biomedical engineering from Institut Teknologi Bandung, Bandung, Indonesia, in October 2006. He received Ph.D. degree from Universitas Gadjah Mada, Yogyakarta, Indonesia. His research interests include biomedical signal processing, biomedical image processing, biomedical instrumentation, and telemedicine. Now, he is Associate Professor at the School of Electrical Engineering, Telkom University. Dr. Wahyu Caesarendra is Assistant Professor at the Faculty of Integrated Technologies, Universiti Brunei Darussalam, since October 2018. He received Doctor of Philosophy degree from the University of Wollongong in 2015. He worked as Postdoctoral Research Fellow in Rolls-Royce@NTU Corp Lab, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, from February 2017 to September 2018. In 2011, Wahyu Caesarendra was awarded University Postgraduate Award and International Postgraduate Tuition Awardfrom the University of Wollongong. He worked in an automotive and electrical company prior to joining Diponegoro University as Lecturer in 2007. He was Visiting Assistant Professor at the National Taiwan University of Science and Technology from August 5 to 11, 2019. He has authored more than 130 research articles in journals and conference proceedings. He is also Academic and Guest Editor in peer-reviewed journals. His research interest includes vibration condition monitoring, fault diagnosis and prognosis, mechatronics and robotics, machine learning and deep learning, mechanical design and 3D printing, smart manufacturing, and IoT.
