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This book presents cutting-edge research and developments in the field of medical and biological engineering, which a special emphasis on activities carried out in the Asian-Pacific region. Gathering the proceedings of the 12th Asian-Pacific Conference on Medical and Biological Engineering (APCMBE 2023), held on May 18-21, 2023, in Suzhou, China, this first volume of a two-volume set focuses on biomedical imaging and signal processing, biomedical sensing and wearables, and rehabilitation and neural engineering. All in all, this book offers extensive information on the state-of-the-art solutions and challenges in biomedical and clinical engineering, addressing a broad audience of medical scientists, engineers, physicists and other researchers and professionals.
Series
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Product notice
Illustrations
XVIII, 486 p. 234 illus., 208 illus. in color.
File size
ISBN-13
978-3-031-51455-5 (9783031514555)
DOI
10.1007/978-3-031-51455-5
Schweitzer Classification
A Risk Probability Prediction Model for Sudden Cardiac Death Based on Heart Rate Variability Metrics.- A Faster Single-channel SSVEP-based Speller Using Peak Filter Extended Canonical Correlation Analysis.- Respiratory Function Monitor Based on Surface Diaphragm Electromyography.- Aortic Pressure Waveform Estimation Based on Variational Mode Decomposition and Gated Recurrent Unit.- Research on Intelligent Calibration Test Fault Diagnosis Model of Automatic Chemiluminescence Immunoassay Analyzer.- Evaluation of Cerebral Autoregulation Function Based on TCD Signal.- Effect of Promoter G-quadruplex on Gene Expression and Its Interaction with Transcription Factor.- Dielectric Properties for Identification of Gliomas and Normal Brain Tissues with Open-ended Coaxial Probe.- Research on GMI Probe Performance in Biomagnetic Field Range in Unshielded Environments.- A Single-channel EEG Automatic Artifact Rejection Framework Based on Hybrid Approach.- AGCN: Adaptive Graph Convolution Network with Hemibrain Differences of Resting-state EEG for Identifying Autism in Children.- Recognition of VR Motion Sickness Level Based on EEG and Functional Brain Network.- SRSA-Net: Separable ResUnit and Self-attention Optimized Network for Simultaneous Nuclei Segmentation and Classification in Histology Images.- Developmental Pattern of Individual Morphometric Similarity Network in the Human Fetal Brain.- Automatic Segmentation of Liver Tumor from Multi-phase Contrast-enhanced CT Images Using Cross-phase Fusion Transformer.
