Neural Networks in Healthcare: Potential and Challenges, 1st Edition

  • Published By:
  • ISBN-10: 1591408504
  • ISBN-13: 9781591408505
  • DDC: 610.285
  • Grade Level Range: College Freshman - College Senior
  • 332 Pages | eBook
  • Original Copyright 2006 | Published/Released November 2006
  • This publication's content originally published in print form: 2006

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About

Overview

Healthcare costs around the globe are on the rise, creating a strong need for new ways of assisting the requirements of the healthcare system. Besides applications in other areas, neural networks have naturally found many promising applications in the health and medicine areas. Neural Networks in Healthcare: Potential and Challenges presents interesting and innovative developments from leading experts and scientists working in health, biomedicine, biomedical engineering, and computing areas. This book covers many important and state-of-the-art applications in the areas of medicine and healthcare, including: cardiology, electromyography, electroencephalography, gait and human movement, therapeutic drug monitoring for patient care, sleep apnea, and computational fluid dynamics areas. Neural Networks in Healthcare is a useful source of information for researchers, professionals, lecturers, and students from a wide range of disciplines. Readers of this book will be able to use the ideas for further research efforts in this very important and highly multidisciplinary area.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Neural Networks in Healthcare: Potential and Challenges: Table of Contents.
Preface.
Acknowledgments.
1: Introduction and Applications in Healthcare.
2: Overview of Artificial Neural Networks and Their Applications in Healthcare.
3: A Survey on Various Applications of Artificial Neural Networks in Selected Fields of Healthcare.
4: Electrocardiography.
5: The Role of Neural Networks in Computerized Classification of the Electrocardiogram.
6: Neural Networks in ECG Classification: What Is Next for Adaptive Systems?.
7: A Concept Learning-Based Patient-Adaptable Abnormal ECG Beat Detector for Long-Term Monitoring of Heart Patients.
8: Electromyography.
9: A Recurrent Probabilistic Neural Network for EMG Pattern Recognition.
10: Myoelectric Teleoperation of a Dual-Arm Manipulator Using Neural Networks.
11: Electroencephalography and Evoked Potentials.
12: Artificial Neural Networks in EEG Analysis.
13: The Use of Artificial Neural Networks for Objective Determination of Hearing Threshold Using the Auditory Brainstem Response.
14: Applications in Selected Areas.
15: Movement Pattern Recognition Using Neural Networks.
16: Neural and Kernel Methods for Therapeutic Drug Monitoring.
17: Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices.
18: Analysis of Temporal Patterns of Physiological Parameters.
About the Authors.
Index.