This Conference proceeding presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2020 held at Surabaya, Indonesia. The contents are broadly divided into three parts: (i) Electronics, (ii) Biomedical Engineering, and (iii) 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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Illustrationen
118
303 farbige Abbildungen, 118 s/w Abbildungen
XVII, 734 p. 421 illus., 303 illus. in color.
Dateigröße
ISBN-13
978-981-336-926-9 (9789813369269)
DOI
10.1007/978-981-33-6926-9
Schweitzer Klassifikation
Porat Rank to Improve Performance Recommendation System.- Design and Implementation of a Registration System with Mobile Application at Public Health Center Based on IoT using a RESTful API.-Fuel Truck Tracking for Real-Time Monitoring System Using GPS and Raspberry-pi.- Room Searching Robot Based on Door Detection and Room Number Recognition for Automatic Target Shooter Robot Application.- A Comparative Evaluation of Acceleration and Jerk in Human Activity Recognition Using Machine Learning Techniques. Rapid Thermal Modelling of Power MOSFET using Bump Test Method to Evaluate Performance of Low Cost Heatsink.- Facial Skin Type Classification Based on Microscopic Images using Convolutional Neural Network (CNN).- Electrodermal Activity-Based Stress Measurement Using Continuous Deconvolution Analysis Method.- Monitoring Stress Level Through Electrodermal Activity by Using Convex Optimization.
