دانلود کتاب Innovative Technologies and Signal Processing in Perinatal Medicine: Volume 2

فهرست مطالب :

Foreword
Preface
Contents
Fetal Growth Monitoring and Issues: The Intrauterine Monitoring of Middle Cerebral Artery and Its Role in Neuronal Development of the Newborn
1 Fetal Growth Restriction
2 FGR and Neurodevelopment
3 Functional Magnetic Resonance Imaging
References
2020 Guidelines on Neonatal Resuscitation: What Can Be of Interest to an Engineer?
1 Introduction
2 Guidelines 2020: Key Points and Knowledge Gaps
3 Conclusions
References
A Conundrum Waiting for Clinical, Technical, and Medico-Legal Solutions: Looking for the “Perfect Biomarker” of Perinatal Asphyxia
1 Introduction
2 The Genetics/Genomics Perspective
3 Proteomics
4 Transcriptomic
5 Metabolomics
References
Medical Liability Issues (and Beyond) Resulting from the Use of New Technologies
1 Toward the Evolution of Medical Liability Legal Framework
1.1 Criminal Liability in the Medical Field
2 Telemedicine
3 Medical Devices
4 The Advent of Robotics and Artificial Intelligence in Medicine
5 Liability Profiles of Artificial Agents
6 Deontological Issues
7 Protection of Personal Health Data
8 Ethical Evaluations
9 Concluding Remarks
Noninvasive Techniques to Assess the Development of the Fetal Brain and Nervous System
1 Introduction
2 Currently Available Noninvasive Techniques for Fetal Brain and Neurological Assessment
2.1 Fetal Magnetocardiography (FMCG)
2.2 Functional Magnetic Resonance Imaging (fMRI)
2.3 Magnetoencephalography (MEG)
2.4 Noninvasive Fetal Electrocardiography (NI-FECG)
2.5 4D Ultrasound
2.6 Cardiotocography (CTG)
3 Summary
4 Conclusion
Bibliography
Antepartum Noninvasive Evaluation of Fetal Myocardial Performance from Continuous Doppler Signals and Its Research Potential
1 Introduction
2 Estimating Beat-to-Beat Fetal Heart Rate from Continuous DUS (RQ 1)
3 Estimation of Fetal Cardiac Events from fECG and DUS (RQ2)
4 Clinical Perspective of Fetal Myocardial Performance Indices Calculated from DUS-Based Systolic and Diastolic Intervals (RQ 3)
4.1 Evaluation of the Myocardial Performance Indices of Normal Fetuses
4.2 CHD: Structural Defects
4.3 CHD Defects: Conduction Pathways
4.3.1 Fetal Tachycardia
4.3.2 Atrioventricular (AV) Block and Sick Sinus Syndrome (SSS)
4.3.3 Intrauterine Growth Restriction (IUGR)
4.3.4 Hydrops Fetalis
4.3.5 Placental Abruption
5 Conclusion
References
Principles of Fetal Electrocardiography
1 Brief History of Fetal Electrocardiography and Its Relevance
2 Relevant Electrophysiology
2.1 Physiology of the Heart
2.1.1 The Adult Heart
2.1.2 The Fetal Heart: Differences with Respect to the Adult Heart
2.2 Origin of the ECG
2.2.1 Cardiac Activity at Cellular Level
2.2.2 Cardiac Activity at Organ Level
2.2.3 Cardiac Activity at Cutaneous Level
2.3 Characteristics of the ECG
2.3.1 One-Dimensional ECG
2.3.2 Three-Dimensional Vectorcardiogram
2.3.3 Differences Between Fetal and Adult ECG
3 Non-invasive Fetal ECG Recordings for Cardiotocography
3.1 Cardiotocography
3.2 Motivation for Pursuing Non-invasive Fetal ECG Recordings
3.3 Signals Recorded from the Maternal Abdomen
3.3.1 Physiological Signals
3.3.2 Non-Physiological Signals
3.4 Complications in Fetal ECG Analysis Due to Changes in the Volume Conductor
3.5 Signal Processing for Fetal Heart Rate Detection
3.5.1 Preprocessing of Electrophysiological Recordings
3.5.2 Maternal ECG Suppression
3.5.3 Fetal R-Peak Detection
3.5.4 Postprocessing of Detected Fetal Heart Rate
4 Complimentary Information: Value of Fetal Electrocardiography Beyond the Cardiotocogram
4.1 Why Is Complimentary Information Needed?
4.2 Signal Processing for Fetal ECG Quality Enhancement
4.3 Possible Clinical Use of the Fetal ECG
References
Modern Signal Processing Tools for Fetal Electrocardiogram Extraction from Single-Channel Transabdominal Maternal Electrocardiogram
1 Introduction
2 Proposed Algorithm
2.1 Input Data
2.2 Step 0: Preprocessing and Linear Combination
2.3 Step 1: Estimate the Maternal Instantaneous Heart Rate by De-shape STFT
2.3.1 Step 2: Obtain the Maternal R Peaks by the Beat Tracking Algorithm
2.4 Step 3: Estimate Maternal Cardiac Cycles by Optimal Shrinkage
2.5 Step 4: Maternal ECG Recovery
2.6 Step 5: Obtain the fECG
2.7 Step 6: Enhance the mECG and rfECG by Iteration
2.8 (Optional) Step 7: Enhance the fECG Signal by the Nonlocal Median
3 Extensions and Other Considerations
3.1 Signal Quality
3.2 Manifold Model
3.3 Multiple Channels
References
Information Theory and Fetal Heart Rate Variability Analysis
1 Introduction
2 Entropy and Entropy Rate
2.1 Approximate Entropy and Sample Entropy
2.2 Bubble Entropy
3 Phase-Rectified Signal Averaging
3.1 Understanding the PRSA Series
References
Fetal Heart Rate Analysis with Gaussian Processes
1 Introduction to Gaussian Processes
1.1 A Brief Review of GP Regression
1.2 The Covariance Function
2 Introduction to Deep Gaussian Processes
3 Open Access Intrapartum CTG Database
4 Application I: Estimation of Missing Samples in Fetal Heart Rate Recordings
4.1 GP-Based Recovery of Missing FHR Samples
4.2 Experiments and Results
5 Application II: Classification of Fetal Heart Rate Recordings
5.1 CTG Features
5.2 Labeling of CTG Recordings
5.3 DGP Structure Description
5.4 Experiments and Results
6 Application III: Clustering of Fetal Heart Rate Recordings
6.1 Labeling
6.2 Implementation Details
6.3 Experiments and Results
References
Intrapartum Cardiotocography Feature Detection and Fetal State Estimation Using Signal Processing and Machine Learning
1 Introduction
2 Clinical Cardiotocography
3 Automated CTG Decision-Making
4 Fetal State Classification via System Identification (SI)
4.1 Models
4.2 System Identification: Predicting FHR from UP
4.3 UP–FHR Dynamics
4.4 Estimating the IRF
4.5 State-Space IRF Estimate
4.6 Model Significance Through Surrogate Data
4.7 Baseline and HRV Estimates
4.8 Resulting Models
4.8.1 Models
4.8.2 Classification
5 Conclusions
References
Open Data: Valuable Resources and Opportunities for the Researchers in Fetal Cardiac Monitoring
1 Introduction
2 Open Data for Researchers: PhysioNet as a Research Resource for Complex Physiological Signals
3 Generation of Synthetic Data by Open-Source Tools: The Open-Source Electrophysiological Toolbox (OSET) and the FECGSYN Toolbox
4 Freely Available Datasets for Noninvasive fECG Research
5 Open Data for Fetal Cardiac Monitoring by CTG and fPCG
6 Conclusions
References
Index