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Neural Networks in Healthcare: Potential and Challenges [Kõva köide]

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  • Formaat: Hardback, kaal: 868 g, illustrations
  • Ilmumisaeg: 06-May-2013
  • Kirjastus: IGI Publishing
  • ISBN-10: 1591408482
  • ISBN-13: 9781591408482
  • Formaat: Hardback, kaal: 868 g, illustrations
  • Ilmumisaeg: 06-May-2013
  • Kirjastus: IGI Publishing
  • ISBN-10: 1591408482
  • ISBN-13: 9781591408482
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: Potential and Challenges"" 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.
Preface vi
Section I: Introduction and Applications in Healthcare
Overview of Artificial Neural Networks and their Applications in Healthcare
1(19)
Joarder Kamruzzaman
Rezaul Begg
Ruhul Sarker
A Survey on Various Applications of Artificial Neural Networks in Selected Fields of Healthcare
20(40)
Wolfgang I. Schollhorn
Jorg M. Jager
Section II: Electrocardiography
The Role of Neural Networks in Computerized Classification of the Electrocardiogram
60(21)
Chris D. Nugent
Dewar D. Finlay
Mark P. Donnelly
Norman D. Black
Neural Networks in ECG Classification: What is Next for Adaptive Systems?
81(24)
G. Camps-Valls
J. F. Guerrero-Martinez
A Concept Learning-Based Patient-Adaptable Abnormal ECG Beat Detector for Long-Term Monitoring of Heart Patients
105(25)
Peng Li
Kap Luk Chan
Sheng Fu
Shankar M. Krishnan
Section III: Electromyography
A Recurrent Probabilistic Neural Network for EMG Pattern Recognition
130(24)
Toshio Tsuji
Nan Bu
Osamu Fukuda
Myoelectric Teleoperation of a Dual-Arm Manipulator Using Neural Networks
154(23)
Toshio Tsuji
Kouji Tsujimura
Yoshiyuki Tunaka
Section IV: Electroencephalography and Evoked Potentials
Artificial Neural Networks in EEG Analysis
177(18)
Markad V. Kamath
Adrian R. Upton
Jie Wu
Harjeet S. Bajaj
Skip Poehlman
Robert Spaziani
The Use of Artificial Neural Networks for Objective Determination of Hearing Threshold Using the Auditory Brainstem Response
195(22)
Robert T. Davey
Paul J. McCullagh
H. Gerry McAllister
H. Glen Houston
Section V: Applications in Selected Areas
Movement Pattern Recognition Using Neural Networks
217(21)
Rezaul Begg
Joarder Kamruzzaman
Ruhul Sarker
Neural and Kernel Methods for Therapeutic Drug Monitoring
238(24)
G. Camps-Valls
J. D. Martin-Guerrero
Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices
262(22)
Yos S. Morsi
Subrat Das
Analysis of Temporal Patterns of Physiological Parameters
284(33)
Balazs Benyo
About the Authors 317(10)
Index 327