12th Asian-Pacific Conference on Medical and Biological Engineering

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 1821, 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.

Covers engineering applications in medical imaging Reports on advances in wearable sensors and rehabilitation First volume of a 2-volume set

Contenu
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.