Linked e-resources
Details
Table of Contents
Intro
Foreword
Preface
Contents
Contributors
1 Biomedical Engineering: History and Areas of Expertise
1.1 Introduction
1.2 A Little Bit of History
1.3 Biomechanics, Rehabilitation, and Assistive Technology
1.4 Computational Systems Applied to Health
1.5 Medical Devices
1.6 Conclusion
References
Part I Biomechanics, Rehabilitation and Assistive Technology
2 Postural Control in Humans: Theories, Modeling, and Quantification
2.1 Introduction
2.2 Theories
2.2.1 The Need of an Active Control of the Upright Posture
2.2.2 The Minimization of the Deviation from Vertical
2.2.3 The Sway Around a Moving Reference
2.2.4 The Exploratory Behavior
2.2.5 The Maximization of Virtual Time to Contact
2.3 Modeling
2.3.1 The Inverted Pendulum Model
2.3.2 A Model for Control of the Inverted Pendulum
2.3.3 On the Open-Closed Loop Control
2.3.4 On the COP and COGv Relation
2.3.5 On the COP, COGv, and Muscle Activity Relationship
2.4 Quantification
2.4.1 COP and COGv Quantification
2.4.2 Measurements for the Quantification of Body Sway
2.4.3 Open Datasets
2.5 Concluding Remarks
4.6 Orthoses for the Treatment of Wrist Injuries and Fractures
4.7 Concluding Remarks
References
Part II Computational Systems Applied to Health
5 Mobile Health Solution Through Machine Learning and Sensors in the Detection of Falls Associated with Aging
5.1 Introduction
5.2 Methods
5.3 Results and Discussion
References
6 Managing the Future of Healthcare: The Importance of Health Information Management
6.1 Introduction
6.2 Data and Information in the Health Area
6.2.1 Database Modeling and Software Engineering
6.2.2 Data Provenance
6.3 The Importance of Computerizing Health Data
6.4 Machine Learning and the Application in Healthcare
6.5 Conclusion
References
7 Hemodynamic Modeling of Supraventricular Arrhythmias Using an Integrated Numerical Approach
7.1 Introduction
7.2 Supraventricular Arrhythmias
7.3 Applied Example: Integrated Hemodynamic Modeling for Atrial Fibrillation
7.4 Electrophysiological Activity
7.5 Hemodynamic Modeling by Computational Fluid Dynamics (CFD)
7.6 Governing Equations of Blood Flow
7.7 Integration of Electromechanical Effects into Hemodynamics
Foreword
Preface
Contents
Contributors
1 Biomedical Engineering: History and Areas of Expertise
1.1 Introduction
1.2 A Little Bit of History
1.3 Biomechanics, Rehabilitation, and Assistive Technology
1.4 Computational Systems Applied to Health
1.5 Medical Devices
1.6 Conclusion
References
Part I Biomechanics, Rehabilitation and Assistive Technology
2 Postural Control in Humans: Theories, Modeling, and Quantification
2.1 Introduction
2.2 Theories
2.2.1 The Need of an Active Control of the Upright Posture
2.2.2 The Minimization of the Deviation from Vertical
2.2.3 The Sway Around a Moving Reference
2.2.4 The Exploratory Behavior
2.2.5 The Maximization of Virtual Time to Contact
2.3 Modeling
2.3.1 The Inverted Pendulum Model
2.3.2 A Model for Control of the Inverted Pendulum
2.3.3 On the Open-Closed Loop Control
2.3.4 On the COP and COGv Relation
2.3.5 On the COP, COGv, and Muscle Activity Relationship
2.4 Quantification
2.4.1 COP and COGv Quantification
2.4.2 Measurements for the Quantification of Body Sway
2.4.3 Open Datasets
2.5 Concluding Remarks
4.6 Orthoses for the Treatment of Wrist Injuries and Fractures
4.7 Concluding Remarks
References
Part II Computational Systems Applied to Health
5 Mobile Health Solution Through Machine Learning and Sensors in the Detection of Falls Associated with Aging
5.1 Introduction
5.2 Methods
5.3 Results and Discussion
References
6 Managing the Future of Healthcare: The Importance of Health Information Management
6.1 Introduction
6.2 Data and Information in the Health Area
6.2.1 Database Modeling and Software Engineering
6.2.2 Data Provenance
6.3 The Importance of Computerizing Health Data
6.4 Machine Learning and the Application in Healthcare
6.5 Conclusion
References
7 Hemodynamic Modeling of Supraventricular Arrhythmias Using an Integrated Numerical Approach
7.1 Introduction
7.2 Supraventricular Arrhythmias
7.3 Applied Example: Integrated Hemodynamic Modeling for Atrial Fibrillation
7.4 Electrophysiological Activity
7.5 Hemodynamic Modeling by Computational Fluid Dynamics (CFD)
7.6 Governing Equations of Blood Flow
7.7 Integration of Electromechanical Effects into Hemodynamics