Chapter
3.2 Principles of Radiofrequency Ablation
3.3 Materials and Methods
3.4 Results and Discussion
4 Comparative Functional Magnetic Resonance Imaging With Functional Brain Imaging Modalities
4.2 Comparison of the Functional Brain Imaging Modalities
4.3 Metabolism and Blood Flow in the Brain
4.4 Blood Oxygen Level Dependent Contrast in MR Images
5 Design of Neural Network Classifier for Separation of Images With Chromosomes
5.5 Neural Network Classifier
6 De-Noising of Body Surface Potential Signals
6.2 Fast Fourier Transform (FFT)
6.5 Using Wavelet for De-noising of Simulated ECG
6.6 Using FFT and Wavelets for De-noising of BSP Signals
6.7 Body Surface Potential Mapping (BSPM)
6.8 Summary of Chapter (Conclusions)
7 Single Channel Wireless EEG: Proposed Application in Train Drivers
7.2 Hardware Development of Wireless EEG
7.3 Experiments and Results
7.4 Discussion and Future Work
8 Algorithm of Remote Monitoring ECG Using Mobile Phone: Conception and Implementation
8.4 Implementation of Proposed Model
9 Statistical Validation of Physiological Indicators for Non-invasive and Hybrid Driver Drowsiness Detection System
10 Security and Privacy of Wireless Sensor Networks for Biomedical Applications
10.1 Wireless Sensor Networks
10.2 Biomedical Applications of Wireless Sensor Networks
10.3 Privacy and Security Issues
11 Key Establishment Schemes for Clustered Distributed Sensor Networks
11.2 Distributed Sensor Network Security
11.3 Key pre-distribution schemes for sensor networks
11.4 Non-threshold Deterministic Parwise Key Establishment Scheme for Clustered Distributed Sensor Networks
12 Planning and Addressing of Wireless Sensor Networks
12.3 Address Allocation Schemes and Planning of Sensor Networks
12.4 Addressing Schemes in Zigbee Networks
12.5 Skip Distance Addressing
12.6 Static Addressing Algorithm
12.7 Address Allocation Based On Last Address Assigned
12.8 A New Zigbee Network Addressing Scheme
12.9 Iterative Address Allocation
12.10 Planning of Zigbee Personal Area Networks
13 Sensor Scheduling and Redeployment Mechanisms in Wireless Sensor Networks
13.2 Sensor Scheduling Mechanisms
13.3 Sensor Redeployment Mechanisms
14 On the Combination of Logistic Regression and Local Probability Estimates
14.2 Two-Class Classification Problem
14.3 Classifier Evaluation
14.4 Ensemble Classification
14.5 Classifier Characteristics
14.6 Classifier Combination
14.8 Results and Discussion
15 Stochastic Deterioration Processes in Bridge Lifetime Assessment
15.1 Bridge Maintenance Optimization
15.2 The Markov Chain Model
15.3 The RTA Level-2 Inspection Data
15.4 Estimating the Deterioration Rate
15.6 Lognormal Diffusion Process