12th Asian-Pacific Conference on Medical and Biological Engineering: Proceedings of APCMBE 2023, May 18–21, 2023, Suzhou, China―Volume 2: ... Biology (IFMBE Proceedings, 104)

APCMBE2023 Committees Preface Contents Computer-Aided Surgery Inside-Out Accurate Head Tracking with Head-Mounted Augmented Reality Device 1 Introduction 2 Methods 2.1 Retro-reflective Tool Definition and Detection 2.2 Camera Depth Undistortion 2.3 Preoperative Registration 2.4 Dynamic Head Tracking 3 Experiments and Results 3.1 Preoperative Registration 3.2 Tracking Stability 3.3 System Performance 4 Discussions 5 Conclusions References A Model-Guided Method for Ultrasound Probe Calibration 1 Introduction 2 Methods 2.1 Calibration Model Design and General Ideas 2.2 3D Reconstruction Based on an Uncalibrated Probe 2.3 Image Registration 2.4 Probe Calibration 3 Experiments and Results 4 Discussions and Conclusions References Real-Time Medical Tool Runout Monitor Based on Dual Laser Displacement Sensors 1 Introduction 2 Methods 2.1 Error Model 2.2 Dual Laser Displacement Sensors Tracking Structure and Calibration Method 2.3 Cutting Tool Tip Position Measurement Method 3 Experiments and Results 3.1 Experimental Setup 3.2 Stability and Precision 3.3 Use Case: Drilling 3.4 System Performance 4 Discussions and Conclusions References Correction of Premature Closure of Sagittal Suture with Small-Incision Traction Bow 1 Introduction 2 Materials and Methods 2.1 Patients 2.2 Surgical Method 2.3 Results 3 Discussion 4 Conclusions References A Home-Style Intelligent Monitoring Sanitize Robot 1 Introduction 2 Home Monitoring Sanitize Overall Design of Robots 3 Home Monitoring Sanitize Control of Various Functions of Robots 3.1 Sanitize Mode Control 3.2 Intelligent Temperature Monitoring Mode Control 4 Monitoring Sanitize Robot Control Testing 4.1 Robot Temperature Detection Error Analysis 4.2 Robot Driving Stability Simulation 5 Conclusions References YOLOv7-Based Multiple Surgical Tool Localization and Detection in Laparoscopic Videos 1 Introduction 2 Methodology and Experiment 2.1 YOLOv7 Algorithm 2.2 Data Pre-Processing 2.3 Training Process 2.4 Evaluation Metrics 2.5 Experiment Implement 3 Results 4 Discussion 5 Conclusion References A Frequency-Based Analysis Method to Improve Adversarial Robustness of Neural Networks for EEG-Based Brain-Computer Interfaces 1 Introduction 2 Proposed Approach 2.1 Framework 2.2 EEG Adversarial Example Distribution and Influence 2.3 Frequency Analysis of EEG Adversarial Example 2.4 Variation Coefficient-Based EEG Adversarial Example Detection 3 Experiments and Results 3.1 Experimental Setup 3.2 Evaluating the Variation Coefficient 3.3 Detection Results of EEG Adversarial Examples 4 Conclusions References Robot-Assisted Optical Coherence Tomography for Automatic Wide-Field Scanning 1 Introduction 2 Methods 3 Experiments and Results 4 Discussion and Conclusion References Adversarial Detection and Defense for Medical Ultrasound Images: From a Frequency Perspective 1 Introduction 2 Ultrasound Adversarial Images Detection Method: From a Frequency Perspective 2.1 Overview 2.2 Feature Distribution of Adversarial Examples 2.3 Difference of Frequency Domain 2.4 Coefficient of Variation 3 Experiments and Results 3.1 Datasets and Implementation Details 3.2 Adversarial Examples Detection on Ultrasound Images 4 Conclusion References A Novel Model-Independent Approach for Autonomous Retraction of Soft Tissue 1 Introduction 2 Methods 2.1 State Representation Learning (SRL) Setup 2.2 Deep Reinforcement Learning (DRL) Setup 3 Results 3.1 Sample Efficiency 3.2 Accomplishment Degree of the Task 3.3 Safety Level Indicator of the Task 4 Discussion and Conclusion References A Soft Robot Based on Magnetic-Pneumatic Hybrid Actuation for Complex Environments 1 Introduction 2 Design Concept and Fabrication 3 Motion Gait and Analysis 4 Experiment 5 Conclusion 6 Discussion References A VR Environment for Cervical Tumor Segmentation Through Three-Dimensional Spatial Interaction 1 Introduction 2 Methods 2.1 Overview of Our Environment 2.2 Visualization Platform of Cervical Imaging 2.3 3D Spatial Interaction and 3D Tumor Segmentation 3 Results and Discussion 3.1 System Architecture and Technical Details 3.2 User Study 3.3 Discussion 4 Conclusion References An Image Fusion Method Combining the Advantages of Dual-Mode Optical Imaging in Endoscopy 1 Introduction 2 Methods 3 Experiments and Results 4 Discussion 5 Conclusions References An End-to-End Spatial-Temporal Transformer Model for Surgical Action Triplet Recognition 1 Introduction 2 Methods 2.1 End-to-End Spatial-Temporal Transformer 2.2 Multi-task Auxiliary Supervisions 3 Experiments 3.1 Dataset Description 3.2 Evaluation Metrics 3.3 Implementation Details 4 Results 4.1 Ablation Studies 4.2 Comparisons with State-of-the-Arts 5 Conclusions References 2D/3D Reconstruction of Patient-Specific Surface Models and Uncertainty Estimation via Posterior Shape Models 1 Introduction 2 Method 2.1 Overview of the Present Method 2.2 Construction of the Posterior Shape Model 2.3 Surface Model Reconstruction and Uncertainty Estimation via the Posterior Shape Model 3 Experiments and Results 3.1 Experimental Setup 3.2 Metrics 3.3 Evaluation on the Synthetic Cases 3.4 Evaluation on the Cadaveric Cases 4 Conclusion References Semantics-Preserved Domain Adaptation with Target Diverse Perturbation and Test Ensembling for Image Segmentation 1 Introduction 2 Methods 2.1 Preliminary 2.2 Image Translation 2.3 Semantics Preservation Regularization (SPR) 2.4 Target Diverse Perturbation (TDP) 2.5 Test-Time Ensembling (TTE) for CDIS 3 Experiments 3.1 Dataset and Preprocessing 3.2 Comparison and Ablation 3.3 Evaluation and Implementation 4 Results 4.1 Comparison Performance 4.2 Ablation Studies 5 Conclusion References Biomechanics A New Mathematical Model for Assessment of Bleeding and Thrombotic Risk in Three Different Types of Clinical Ventricular Assist Devices 1 Introduction 2 Materials and Methods 2.1 Studied Models 2.2 Hydraulic Performance Prediction 2.3 Shear Stress and Residence Time Predication 2.4 Bleeding and Thrombosis Prediction Model Building 2.5 Mesh Details and Sensitivity Analysis 2.6 CFD Methods 3 Results 3.1 Hydraulic Performances and Flow Field 3.2 Shear Stress and Residence Time 3.3 Bleeding Probability 3.4 Thrombotic Potential 4 Disscusion 5 Conclusions References Analysis of YAP1 Gene as a Potential Immune-Related Biomarker and Its Relationship with the TAZ Expression 1 Introduction 2 Materials and Methods 2.1 UCSC Xena Dataset Analysis 2.2 GEO Dataset Acquirement and Analysis 2.3 cBioPortal Dataset Analysis 2.4 UALCAN Dataset Analysis 2.5 Kaplan–Meier Plotter Analysis 2.6 TISIDB Immune Analysis 2.7 CIBERSORT Immune Analysis 2.8 GSEA Analysis 2.9 TIMER Database Analysis 2.10 STRING Protein Network Analysis 2.11 CYTOSCAPE Network Analysis 2.12 GENPIA Dataset Analysis 2.13 Statistical Analysis 3 Results 3.1 Pan-Cancer Analysis of YAP1 Expression, Stage, Molecular Subtypes, and Methylated Level in Human Cancers 3.2 Genetic Alterations in YAP1 in Human Cancers 3.3 Prognostic Value of YAP1 Expression in Cancers 3.4 Correlation Between YAP1 Expression and Immune Cells Infiltration and Immune Subtypes in Human Cancers 3.5 Significant Pathways Influenced by YAP1 in Different Cancers 3.6 The Correlation Between YAP1 Expression and TAZ Expression and Regulate Downstream Genes 4 Discussion 5 Conclusions References Morphological Feature Recognition of Induced ADSCs Based on Deep Learning 1 Introduction 2 Materials and Methods 3 Results 4 Discussion 5 Conclusions References Micromechanical Properties Investigation of Rabbit Carotid Aneurysms by Atomic Force Microscopy 1 Introduction 2 Materials and Methods 2.1 Carotid Aneurysm Creation 2.2 Histological Examination 2.3 AFM Experiment 2.4 Finite-element Method Simulation 3 Results 3.1 Histology 3.2 Comparison Between Aneurysm Arteries and Healthy Arteries 3.3 Comparison of Indentation at Different Depths by FEM 4 Discussion 5 Conclusions References The Development of the “Lab-In-Shoe” System Based on an Instrumented Footwear for High-Throughput Analysis of Gait Parameters 1 Introduction 2 Materials and Methods 2.1 “Lab-in-shoe” Design 2.2 Implementation of the Algorithm 2.3 Experimental Validations 3 Results 3.1 Validity of the System 3.2 Measurement Reliability Analysis 4 Discussion 5 Conclusions References 3D-Printed Insole Designs for Enhanced Pressure-Relief in Diabetic Foot Based on Functionally-Graded Stiffness Properties 1 Introduction 2 Materials and Methods 2.1 3D Geometry of the Diabetic Foot Insoles 2.2 Functionally-Graded Stiffness Design 2.3 Patient-Specific Plantar Pressure Analysis 3 Results 4 Discussions 5 Conclusions References A Novel Force Platform for Assessing Multidimensional Plantar Stresses in the Diabetic Foot—A Deep Learning-Based Decoupling Approach 1 Introduction 2 Proposed Method 2.1 Physical Principle of the Method 2.2 Optical Flow Calculation 2.3 Neural Network-Based Calibration of the Force Platform 3 Results 4 Discussions 5 Conclusions References MicroNano Bioengineering A Nanoparticle Tracking Analysis Algorithm for Particle Size Estimation 1 Introduction 2 Materials and Methods 2.1 Principle of Nanoparticle Tracking Analysis 2.2 Algorithm of Nanoparticle Tracking Analysis 2.3 Experimental Setup 3 Results 4 Discussion 5 Conclusions References Biomaterials Self-adaptive Dual-Inducible Nanofibers Scaffolds for Tendon-To-Bone Interface Synchronous Regeneration 1 Introduction 2 Materials and Method 2.1 Reagents and Materials 2.2 Preparation of Sr-MBG 2.3 Fabrication of Nanofibers Scaffolds 2.4 Characterizations of Sr-MBG and Nanofibers Scaffolds 2.5 Release of Ions by Nanofibers Scaffolds 2.6 Cytocompatibility of Nanofiber Scaffolds 2.7 In Vitro Cell Induction 2.8 In Vivo Experiments 2.9 Statistical Analysis 3 Result 3.1 Characterization of Sr-MBG 3.2 Characterization of Nanofibers Scaffolds 3.3 Biocompatibility of Nanofibers Scaffolds 3.4 Self-adaptive Dual-Inducible Effect of SDNS in Vitro 3.5 Effect of SDNS on Tendon-to-Bone Interface Synchronous Regeneration in Vivo 4 Discussion 5 Conclusion References Medical Informatics A Multifunctional Image Processing Tool for CT Data Standardization 1 Introduction 2 Methods 2.1 IO Module 2.2 Denoising Module 2.3 Resampling Module 2.4 Registration Module 2.5 Logging Module 2.6 Tag Modifying Module 3 Results 4 Discussion 5 Conclusions References Effect of Schroth Exercise on Pulmonary Function and Exercise Capacity in Patients with Severe Adolescent Idiopathic Scoliosis 1 Introduction 2 Materials and Methods 2.1 Subjects 2.2 Interventions 2.3 Data Collection 2.4 Statistical Analysis 3 Results 3.1 Subjects 3.2 Pulmonary Function 3.3 Exercise Capacity 4 Discussion 5 Conclusions References An Imputation Approach to Electronic Medical Records Based on Time Series and Feature Association 1 Introduction 2 Related Work 2.1 Statistical Prediction Imputation Methods 2.2 Data Mining Prediction Imputation Methods 2.3 Deep Learning Prediction Imputation Methods 3 Missing Value Imputation of Electronic Medical Records 3.1 Description of the Problem 3.2 Our Approach—GRU-RMF 4 Experimental Method 4.1 Experimental Setup 4.2 Evaluation Criteria 5 Results 6 Discussions 6.1 Usefulness of the Model 6.2 Impact of Data Dimension on the Model 7 Conclusion References A Software Tool for Anomaly Detection and Labeling of Ventilator Waveforms 1 Introduction 2 Materials and Methods 2.1 Data Collection 2.2 Design of Software Functions 2.3 Automatic Extraction of Breathing Cycles 2.4 Anomaly Detection of Mechanical Ventilation Waveforms 3 Results 4 Discussion 5 Conclusion References A Machine Learning Approach for Predicting the Time Point of Achieving a Negative Fluid Balance in Patients with Acute Respiratory Distress Syndrome 1 Introduction 2 Materials and Methods 2.1 Source of Data 2.2 Participants 2.3 Definition of Time Window and Label 2.4 Predictors 2.5 Training and Testing Model 3 Results 4 Discussion 5 Conclusions References 3D Simulation Model for Urine Detection in Human Bladder by UWB Technology 1 Introduction 2 Methods 2.1 Antenna Model 2.2 The 3D Bladder Model 2.3 Imaging Configuration 2.4 Imaging Algorithm 3 Results 4 Discussion 5 Conclusions References AI in Medicine A Nearest Neighbor Propagation-Based Partial Label Learning Method for Identifying Biotypes of Psychiatric Disorders 1 Introduction 2 Material and Method 2.1 Materials 2.2 Method 2.3 Evaluation of Biotypes 3 Results 4 Conclusions References Predicting Timing of Starting Continuous Renal Replacement Therapy for Critically Ill Patients with Acute Kidney Injury Using LSTM Network Model 1 Introduction 2 Materials And Methods 2.1 Source of Data 2.2 Research Population 2.3 Data Extraction and Feature Screening 2.4 Time Series Forecasting Events Via Sliding Window 2.5 Model Training and Prediction 3 Results 4 Discussion 5 Conclusions References An End-To-End Seizure Prediction Method Using Convolutional Neural Network and Transformer 1 Introduction 2 Materials and Methods 2.1 Data Description 2.2 Preprocessing 2.3 Convolutional Neural Networks 2.4 Transformer Block 3 Results 4 Discussion 5 Conclusion References Ensemble Feature Selection Method Using Similarity Measurement for EEG-Based Automatic Sleep Staging 1 Introduction 2 Methods 2.1 Generation of Original Feature Set 2.2 Generation of Feature Subsets with Desired Similarity 2.3 Similarity Measurement Base on Base Feature Selectors 3 Two-Stage Majority Voting Method 4 Experiments and Results 4.1 Dataset Description and Preprocessing 4.2 Results and Analysis 5 Conclusions References Biomedical Photonics Rapid Virus Detection Using Recombinase Polymerase Amplification Assisted by Computational Amplicon-Complex Spectrum 1 Introduction 2 Method 3 Results 3.1 Absorption Spectra Calculation of 1× GelRed Solution 3.2 Determination of Reasonable GelRed Concentration 3.3 Detection of Influenza a Virus 4 Discussion 5 Conclusions References Neuromodulation with Submillimeter Spatial Precision by Optoacoustic Fiber Emitter 1 Introduction 2 Methods 2.1 CPOF Fabrication 2.2 Optoacoustic Signal Measurement 2.3 Cortical Neuron Culture 2.4 Calcium Imaging and Neural Stimulation 3 Results 4 Discussion 5 Conclusions References Medical Laboratory Engineering A Novel Poly(3-hexylthiophene) Microelectrode for Ascorbic Acid Monitoring During Brain Cytotoxic Edema 1 Introduction 2 Materials and Methods 2.1 Carbon Fiber Microelectrodes (CFMEs) Preparation 2.2 Fabrication of CFME/P3HT-N-MWCNTs Sensor 2.3 Brain Slices Experiments 2.4 HT22 Cells’ Experiments 3 Results 3.1 Preparation Process and Electrochemical Performance of CFME/P3HT-N-MWCNTs 3.2 Monitoring of HT22 Cells During Cytotoxic Edema 3.3 Monitoring of Brain Slices During Cytotoxic Edema 4 Discussion 5 Conclusions References Health Engineering Radar Translator: Contactless Eyeblink Detection Assisting Basic Daily Intension Voice for the Paralyzed Aphasia Patient Using Bio-Radar 1 Introduction 2 Principle Introduction and Operating Scenario 2.1 Principle of Radar-Based Eyelid Blink Detection 2.2 Operating Scenario 3 Signal Processing and System Control 4 Experiments and Validation 4.1 Effectiveness Verification of Blink Detection 4.2 Quantitative System Performance Investigation 4.3 Practical Usability Testing of the Radar-Based Translator 5 Conclusions References Image Reconstruction Algorithm in Electrical Impedance Tomography Based on Improved CNN-RBF Model 1 Introduction 2 Method 2.1 Electrical Impedance Tomography (EIT) 2.2 Preparing Data 2.3 Network Architecture for EIT Reconstruction 3 Result 3.1 Evaluation Metrics 3.2 Correlation Analysis of Boundary Voltages 3.3 Training and Evaluating the Model 4 Discussion 5 Conclusions References An Explainable Assessment for Depression Detection Using Frontal EEG 1 Introduction 2 Methods 2.1 Data and Processing 2.2 Feature Extraction 2.3 Statistics and Classification 2.4 Feature Validity Assessment 3 Result 4 Discussion 5 Conclusion References Heart Murmur Detection in Phonocardiogram Signals Using Support Vector Machines 1 Introduction 2 Methods 2.1 Data 2.2 Pre-processing 2.3 Segmentation 2.4 Feature Extraction 2.5 Classification Algorithm 3 Results 4 Discussion 5 Conclusions References Computational Systems, Modeling and Simulation in Medicine, Multiscale Modeling and Synthetic Biology SCpipeline: The Tool and Web Service for Identifying Potential Drug Targets Based on Single-Cell RNA Sequencing Data 1 Introduction 2 Materials and Methods 3 Results 4 Discussion References Study on the Detection of Vertigo Induced by GVS Based on EEG Signal Feature Binary Classification 1 Introduction 2 Methods 2.1 Subjects 2.2 Experimental Method 2.3 Signal Feature Extraction Method 2.4 Classification Algorithm 3 Results 3.1 DHI Scale Analysis 3.2 Binary Classification Results Based on Different Feature Data Sets 3.3 Verification Results 4 Disscussion 5 Conclusions References Therapeutic and Diagnostic Systems and Technologies CT Images-Based Automatic Path Planning for Pedicle Screw Placement Incorporating Anatomical and Biomechanical Considerations 1 Introduction 2 Methods 2.1 Dataset Production and Pre-processing 2.2 Training of Mechanical Distributions Generating Subnetwork 2.3 Path Points Location Subnetwork 2.4 Evaluation 3 Results and Discussion 3.1 Results 3.2 Discussion 4 Conclusions References Reciprocal Unlocking Between Autoinhibitory CaMKII and Tiam1: A Simulation Study 1 Introduction 2 Methods 2.1 Docking 2.2 Visualization 2.3 PDB Entries 3 Results 4 Conclusions 5 Discussion References Author Index