Biomedical signal processing for healthcare applications / 
edited by Varun Bajaj, G.R. Sinha and Chinmay Chakraborty. 
 - First edition. 
 - 1 online resource. 
 - Emerging trends in biomedical technologies and health informatics .
<br/><br/><P>1. Automatic Sleep EEG Classification with Ensemble Learning Using Graph Modularity</P><I><P>Kamakhya Narain Singh, Sudhansu Shekhar Patra, Swati Samantaray, Sudarson Jena, Jibendu Kumar Mantri, and Chinmaya Misra</P></I><P>2. Recognition of Distress Phase Situation in Human Emotion EEG Physiological Signals</P><I><P>Abdultaofeek Abayomi, Oludayo O. Olugbara, and Delene Heukelman</P></I><P>3. Analysis and Classification of Heart Abnormalities</P><I><P>Ayesha Heena</P></I><P>4. Diagnosis of Parkinson's Disease Using Deep Learning Approaches: A Review</P><I><P>Priyanka Khanna, Mridu Sahu, and Bikesh Kumar Singh</P></I><P>5. Classifying Phonological Categories and Imagined Words from EEG Signal</P><I><P>Ashwin Kamble, Pradnya H Ghare, and Vinay Kumar</P></I><P>6. Blood Pressure Monitoring Using Photoplethysmogram and Electrocardiogram Signals</P><I><P>Jamal Esmaelpoor and Zahra Momayez Sanat</P></I><P>7. Investigation of the Efficacy of Acupuncture Using Electromyographic Signals</P><I><P>Kim Ho Yeap, Wey Long Ng, Humaira Nisar, and Veerendra Dakulagi</P></I><P>8. Appliance Control System for Physically Challenged and Elderly Persons through Hand Gesture-Based Sign Language</P><I><P>G. Boopathi Raja</P></I><P>9. Computer-Aided Drug Designing -- Modality of Diagnostic System</P><I><P>Shalini Ramesh, Sugumari Vallinayagam, Karthikeyan Rajendran, Sasireka Rajendran, Vinoth Rathinam, and Sneka Ramesh</P></I><P>10. Diagnosing Chest-Related Abnormalities Using Medical Image Processing through Convolutional Neural Network</P><I><P>Vignessh B., Reena Raj, and Balakrishnakumar</P></I><P>11. Recent Trends in Healthcare System for Diagnosis of Three Diseases Using Health Informatics</P><I><P>Shawni Dutta and Samir Kumar Bandyopadhyay</P></I><P>12. Nursing Care System Based on Internet of Medical Things (IoMT) through Integrating Non-Invasive Blood Sugar (BS) and Blood Pressure (BP) Combined Monitoring</P><I><P>Patrali Pradhan, Subham Ghosh, and Biswarup Neogi</P></I><P>13. Eye Disease Detection from Retinal Fundus Image Using CNN</P><I><P>Padma Selvaraj and Pugazendi Rajagopal</P></I> 
<br/><br/> "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"-- 
<br/><br/><label>ISBN: </label>9781003147817 100314781X 9781000413304 1000413306 9781000413359 1000413357 
<br/><br/><label>Standard No.: </label>10.1201/9781003147817  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Biomedical engineering.<br/>Signal processing.<br/>MEDICAL / Biotechnology<br/>TECHNOLOGY / Electricity
<br/><br/><label>LC Class. No.: </label>R856 
<br/><br/><label>Dewey Class. No.: </label>610.28