Advanced methods and tools for ECG data analysis /

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Here's a cutting-edge, practical book that offers you a thorough understanding of state-of-the-art techniques for electrocardiogram (ECG) data analysis. Placing emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial int...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Clifford, Gari D., Azuaje, Francisco, McSharry, Patrick
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Artech House, ©2006.
Colección:Artech House engineering in medicine & biology series.
Temas:
Electrocardiography > Data processing.
Electronic data processing.
Computer science.
Electrocardiography > methods
Electronic Data Processing
Signal Processing, Computer-Assisted
Électrocardiographie > Informatique.
Informatique.
data processing.
computer science.
HEALTH & FITNESS > Diseases > Heart.
MEDICAL > Cardiology.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • The Physiological Basis of the Electrocardiogram / Andrew T. Reisner, Gari D. Clifford, and Roger G. Mark
  • ECG Acquisition, Storage, Transmission, and Representation / Gari D. Clifford and Matt B. Oefinger
  • ECG Statistics, Noise, Artifacts, and Missing Data / Gari D. Clifford
  • Models for ECG and RR Interval Processes / Patrick E. McSharry and Gari D. Clifford
  • Linear Filtering Methods / Gari D. Clifford
  • Nonlinear Filtering Techniques / Patrick E. McSharry and Gari D. Clifford
  • The Pathophysiology Guided Assessment of T-Wave Alternans / Sanjiv M. Narayan
  • ECG-Derived Respiratory Frequency Estimation / Raquel Bailon, Leif Sornmo, and Pablo Laguna
  • Introduction to Feature Extraction / Franc Jager
  • ST Analysis / Franc Jager
  • Probabilistic Approaches to ECG Segmentation and Feature Extraction / Nicholas P. Hughes
  • Supervised Learning Methods for ECG Classification/Neural Networks and SVM Approaches / Stanislaw Osowski, Linh Tran Hoai, and Tomasz Markiewicz
  • An Introduction to Unsupervised Learning for ECG Classification / Haiying Wang and Francisco Azuaje.

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