rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: EEG brain signal classification for epileptic seizure disorder detection
  name:
    name part: Satapathy, Sandeep Kumar
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Dehuri, Satchidananda
    role:
      role term: author.
  name:
    name part: Jagadev, Alok Kumar
    role:
      role term: author.
  name:
    name part: Mishra, Shruti
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  table of contents: 1.5. Swarm Intelligence1.6. Tools for Feature Extraction; 1.7. Contributions; 1.8. Summary and Structure of Book; Chapter 2: Literature Survey; 2.1. EEG Signal Analysis Methods; 2.2. Preprocessing of EEG Signal; 2.3. Tasks of EEG Signal; 2.4. Classical vs Machine Learning Methods for EEG Classification; 2.5. Machine Learning Methods for Epilepsy Classification; 2.6. Summary; Chapter 3: Empirical Study on the Performance of the Classifiers in EEG Classification; 3.1. Multilayer Perceptron Neural Network; 3.1.1. MLPNN With Back-Propagation; 3.1.2. MLPNN With Resilient Propagation
  table of contents: 3.1.3. MLPNN With Manhattan Update Rule3.2. Radial Basis Function Neural Network; 3.3. Probabilistic Neural Network; 3.4. Recurrent Neural Network; 3.5. Support Vector Machines; 3.6. Experimental Study; 3.6.1. Datasets and Environment; 3.6.2. Parameters; 3.6.3. Results and Analysis; 3.7. Summary; Chapter 4: EEG Signal Classification Using RBF Neural Network Trained With Improved PSO Algorithm for Epilepsy Identification; 4.1. Related Work; 4.2. Radial Basis Function Neural Network; 4.2.1. RBFNN Architecture; 4.2.2. RBFNN Training Algorithm; 4.3. Particle Swarm Optimization
  table of contents: 4.3.1. Architecture4.3.2. Algorithm; 4.4. RBFNN With Improved PSO Algorithm; 4.4.1. Architecture of Proposed Model; 4.4.2. Algorithm for Proposed Model; 4.5. Experimental Study; 4.5.1. Dataset Preparation and Environment; 4.5.2. Parameters; 4.5.3. Results and Analysis; 4.6. Summary; Chapter 5: ABC Optimized RBFNN for Classification of EEG Signal for Epileptic Seizure Identification; 5.1. Related Work; 5.2. Artificial Bee Colony Algorithm; 5.2.1. Architecture; 5.2.2. Algorithm; 5.3. RBFNN With Improved ABC Algorithm; 5.3.1. Architecture of the Proposed Model
  table of contents: 5.3.2. Algorithm for the Proposed Model5.4. Experimental Study; 5.4.1. Dataset Preparation and Environment; 5.4.2. Parameters; 5.4.3. Result and Analysis; 5.4.4. Performance Comparison Between Modified PSO and Modified ABC Algorithm; 5.5. Summary; Chapter 6: Conclusion and Future Research; 6.1. Findings and Constraints; 6.2. Future Research Work; References; Index; Back Cover
  note: Sandeep Kumar Satapathy, Satchidananda Dehuri, Alok Kumar Jagadev, Shruti Mishra.
  note: Includes bibliographical references and index.
  subject:
    topic: Epilepsy
    topic: Diagnosis
  subject:
    topic: Electroencephalography
  subject:
    topic: Electrophysiological aspects of epilepsy
  subject:
    topic: Patient monitoring
  subject:
    topic: Epilepsy
    topic: diagnosis
  subject:
    topic: Seizures
    topic: diagnosis
  subject:
    topic: Electroencephalography
  subject:
    topic: Signal Processing, Computer-Assisted
  subject:
    topic: Monitoring, Physiologic
  subject:
    topic: Électroencéphalographie
  subject:
    topic: Monitorage (Soins hospitaliers)
  subject:
    topic: HEALTH & FITNESS
    topic: Diseases
    topic: General
  subject:
    topic: MEDICAL
    topic: Clinical Medicine
  subject:
    topic: MEDICAL
    topic: Diseases
  subject:
    topic: MEDICAL
    topic: Evidence-Based Medicine
  subject:
    topic: MEDICAL
    topic: Internal Medicine
  subject:
    topic: Patient monitoring
  subject:
    topic: Electroencephalography
  subject:
    topic: Electrophysiological aspects of epilepsy
  subject:
    topic: Epilepsy
    topic: Diagnosis
  classification: RC373
  classification: 616.85/307547
  classification: 2019 D-095
  classification: WL 385
  related item:
    title info:
      title: EEG Brain Signal Classification for Epileptic Seizure Disorder Detection
    name:
      name part: Satapathy, Sandeep Kumar.
    origin info:
      publisher: San Diego : Elsevier Science & Technology, ©2019
  identifier: 0128174277
  identifier: 9780128174272
  identifier: 0128174269
  identifier: 9780128174265
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 190221
    record change date: 20260327154436.2
    record identifier: in00005764485
    language of cataloging:
      language term: eng