Biomedical signals based computer-aided diagnosis for neurological disorders/ (Record no. 824)

MARC details
000 -LEADER
fixed length control field 03018nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250224105855.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230220b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030978440
040 ## - CATALOGING SOURCE
Transcribing agency KCST
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 616.80475
Item number Bi
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Murugappan, M.
9 (RLIN) 5723
245 ## - TITLE STATEMENT
Title Biomedical signals based computer-aided diagnosis for neurological disorders/
Statement of responsibility, etc. M. Murugappan, Rajamanickam Yuvraj (Editors)
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham, Switzerland,
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 289 p.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Abnormal EEG detection using time-frequency images and convolutional neural network<br/>2. Physical action categorization pertaining to certain neurological disorders using machine learning based signal analysis<br/>3. A comparative study on EEG features for neonatal seizure detection<br/>4. Hilbert huang transform (HHT) analysis of heart rate variability (HRV) in recognition of emotion in children with autism spectrum disorder (ASD)<br/>5. Detection of tonic-clonic seizures using scalp EEG of spectral moments<br/>6. Investigation of the brain activation pattern of stroke patients and healthy individuals during happiness and sadness<br/>7. A novel parametric non-stationary signal model for EEG signals and its application in epileptic seizure detection<br/>8. Biomedical signal analysis using entropy measures: A case study of motor imaginary BCI in end-users with disability<br/>9. Automatic detection of epilepsy using CNN-GRU hybrid model<br/>10. Catalogic systematic literature review of hardware-accelerated neurodiagnostic<br/>11. Wearable Real-time Epileptic Seizure Detection and Warning System<br/>12. Analysis of Intramuscular Coherence of Lower Limb Muscles Activities using Magnitude Squared Coherence
520 ## - SUMMARY, ETC.
Summary, etc. Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders. Presents the concepts of CAD for various neurological disorders; Covers biomedical signal processing and machine learning/deep learning techniques; Includes case studies, real-time examples, and research directions
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electronic books
9 (RLIN) 5719
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medical informatics
9 (RLIN) 5720
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Nervous system Diseases Diagnosis
9 (RLIN) 5721
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Yuvaraj, Rajamanickam
9 (RLIN) 5722
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Reference Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     KCST Library KCST Library 20/02/2023 Donated by Dr. M. Murugappan ECE Dept. 0.00   616.80475 Bi 1000001108 20/02/2023 20/02/2023 Reference Books
© 2025 KCST. All rights reserved