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E-raamat: Biomedical Signal Processing for Healthcare Applications [Taylor & Francis e-raamat]

Edited by (IIITDM Jabalpur, India), Edited by (BITS, India), Edited by (IIITB, India)
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"This book examines biomedical signal processing in which biomedical signals such as EEG, EMG, ECG are used to analyze and diagnosis various medical conditions. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals will subsequently benefit the healthcare sector"--

This book examines the use of biomedical signal processing in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, analysis of biomedical signals improves patient outcomes through early, reliable detection.



This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases.

The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications.

FEATURES

  • Examines modeling and acquisition of biomedical signals of different disorders
  • Discusses CAD-based analysis of diagnosis useful for healthcare
  • Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG
  • Includes case studies and research directions, including novel approaches used in advanced healthcare systems

This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.

Preface vii
Acknowledgements xi
Editors xiii
Contributors xvii
Chapter 1 Automatic Sleep EEG Classification with Ensemble Learning Using Graph Modularity
1(24)
Kamakhya Narain Singh
Sudhansu Shekhar Patra
Swati Samantaray
Sudarson Jena
Jibendu Kumar Mantri
Chinmaya Misra
Chapter 2 Recognition of Distress Phase Situation in Human Emotion EEG Physiological Signals
25(30)
Abdultaofeek Abayomi
Oludayo O. Olugbara
Delene Heukelman
Chapter 3 Analysis and Classification of Heart Abnormalities
55(18)
Ayesha Heena
Chapter 4 Diagnosis of Parkinson's Disease Using Deep Learning Approaches: A Review
73(20)
Priyanka Khanna
Mridu Sahu
Bikesh Kumar Singh
Chapter 5 Classifying Phonological Categories and Imagined Words from EEG Signal
93(30)
Ashwin Kamble
Pradnya H. Ghare
Vinay Kumar
Chapter 6 Blood Pressure Monitoring Using Photoplethysmogram and Electrocardiogram Signals
123(20)
Jamal Esmaelpoor
Zahra Momayez Sanat
Mohammad Hassan Moradi
Chapter 7 Investigation of the Efficacy of Acupuncture Using Electromyographic Signals
143(30)
Kim Ho Yeap
Wey Long Ng
Humaira Nisar
Veerendra Dakulagi
Chapter 8 Appliance Control System for Physically Challenged and Elderly Persons through Hand Gesture-Based Sign Language
173(22)
G. Boopathi Raja
Chapter 9 Computer-Aided Drug Designing - Modality of Diagnostic System
195(24)
Shalini Ramesh
Sugumari Vallinayagam
Karthikeyan Rajendran
Sasireka Rajendran
Vinoth Rathinam
Sneka Ramesh
Chapter 10 Diagnosing Chest-Related Abnormalities Using Medical Image Processing through Convolutional Neural Network
219(26)
Vignessh B.
Reena Raj
Balakrishna Kumar
Chapter 11 Recent Trends in Healthcare System for Diagnosis of Three Diseases Using Health Informatics
245(22)
Shawni Dutta
Samir Kumar Bandyopadhyay
Chapter 12 Nursing Care System Based on Internet of Medical Things IoMT through Integrating Non-Invasive Blood Sugar (BS) and Blood Pressure (BP) Combined Monitoring
267(22)
Patrali Pradhan
Subham Ghosh
Biswarup Neogi
Chapter 13 Eye Disease Detection from Retinal Fundus Image Using CNN
289(18)
Padma Selvaraj
Pugazendi Rajagopal
Index 307
Dr. Varun Bajaj has been working as a faculty in the discipline of Electronics and Communication Engineering, at Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since 2014.

G R Sinha is Adjunct Professor at International Institute of Information Technology Bangalore (IIITB) and currently deputed as Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar.

Dr. Chinmay Chakraborty is working as an Assistant Professor (Sr.) in the Dept. of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India.