This book constitutes the refereed proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021, held virtually due to the COVID-19 crisis, in February 2021. The conference was held virtually due to the COVID-19 crisis.
The 13 full papers included in this book were carefully reviewed and selected from 265 submissions. The papers selected to be included in this book contribute to the understanding of relevant trends of current research on Biomedical Engineering Systems and Technologies, including: Pattern Recognition and Machine Learning, Application of Health Informatics in Clinical Cases, Evaluation and Use of Healthcare IT, Medical Signal Acquisition, Analysis and Processing, Data Mining and Data Analysis, Decision Support Systems, e-Health, e-Health Applications, Mobile Technologies for Healthcare Applications and Medical Devices design.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
84
39 s/w Abbildungen, 84 farbige Abbildungen
XVIII, 259 p. 123 illus., 84 illus. in color.
ISBN-13
978-3-031-20664-1 (9783031206641)
DOI
10.1007/978-3-031-20664-1
Schweitzer Klassifikation
Systematic Design Procedure of CMOS Microelectrode-Arrays based on Analog Signal Processing Noise Figure.- LigityScore: A CNN-based Method for Binding Affinity Predictions.- Chaotic Changes in Fingertip Pulse Waves and Psychological Effects of Reminiscence Therapy Intervention.- Determination of Charge Transfer Resistance from Randles Circuit Spectra using Elliptical Fitting.- Towards Segmentation and Labelling of Motion Data in Manufacturing Scenarios.- Evaluating the Performance of Diadochokinetic Tests in CharacterizingParkinson's Disease Hypokinetic Dysarthria.- Technology-based Education and Training System for Nursing Professionals.- Evaluation of Algorithms to Measure a Psychophysical Threshold using Digital Applications.- Improving Teledermatology Referral with Edge-AI: Mobile App to Foster Skin Lesion Imaging Standardization.- Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attentionde deficit/Hyperactivity Disorder.- Requirements for Implementing Digital Health Terminology Standards in Uganda's Electronic Medical Records-based Health Information Systems.- Multi-class Detection of Arrhythmia Conditions through the Combination of Compressed Sensing and Machine Learning.- DL-assisted ROP Screening Technique.
