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Contents
Theme: Medical Devices and Clinical Healthcare
Parameter Identification and Identifiability Analysis for Patient-Induced Effort in Respiratory Mechanics Models
1 Introduction
2 Methodology

2.1 The Sine-Wave Model
2.2 Forward Simulation and Parameter Identification
2.3 Stability and Performance of Sine-Wave Model
2.4 Identifiability Analysis of the Sine-Wave Model
3 Results
4 Discussion
4.1 Comparison with the Polynomial Model
4.2 Successful Parameter Identification Cases
4.3 Unsuccessful Parameter Identification Cases
5 Conclusions
References
Mask R-CNN for Segmentation of Left Ventricle
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset and Annotation
3.2 Neural Network
4 Results
5 Conclusion
References

Generative Adversarial Network in Reconstructing Asynchronous Breathing Cycle
1 Introduction
2 Methodology
2.1 Simulated Data for GAN Development
2.2 Conventional Generative Adversarial Network
2.3 Overview of the Model
2.4 Computational Setup and Training Process
2.5 GAN Models' Performance and Evaluation
3 Results
4 Discussion
5 Conclusion
References
Modelling Patient's Spontaneous Effort During Controlled Mechanical Ventilation Using Basis Functions
1 Introduction
2 Method
2.1 Gaussian Model
2.2 Simulation
2.3 Model Fitting

2.4 Stability of Gaussian Effort Model
2.5 Model Performance Evaluation
2.6 Patient Data
3 Result
4 Discussion
5 Conclusion
References
Anisotropic Diffusion for Reduction of Speckle Noise in Knee Articular Cartilage Ultrasound Images
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Acquisition
3.2 Proposed Method
3.3 Evaluation Metrics
4 Results
5 Conclusion
References
The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score
1 Introduction
2 Methods
2.1 ICING Insulin Sensitivity Estimation

2.2 Respiratory P/F Score
2.3 Patients Data and Correlation Study
3 Results
4 Discussion
5 Conclusion
References
Tracking of Near-Field Wireless Transceiver for Implantable Devices
1 Introduction
1.1 Overview
2 Research Methodology
2.1 Process Flow
2.2 Main Transmitter Coil and Receiver Coil
2.3 Data Acquisition
2.4 Localization Algorithm
3 Result and Discussion
4 Conclusion and Future Work
References
Modelling of Transcranial Magnetic Stimulation (TMS) Induced Fields in Different Age Groups
1 Introduction
2 Methodology