1. Automatic Sleep EEG Classification with Ensemble Learning Using Graph Modularity
Kamakhya Narain Singh, Sudhansu Shekhar Patra, Swati Samantaray, Sudarson Jena, Jibendu Kumar Mantri, and Chinmaya Misra
2. Recognition of Distress Phase Situation in Human Emotion EEG Physiological Signals
Abdultaofeek Abayomi, Oludayo O. Olugbara, and Delene Heukelman
3. Analysis and Classification of Heart Abnormalities
Ayesha Heena
4. Diagnosis of Parkinson's Disease Using Deep Learning Approaches: A Review
Priyanka Khanna, Mridu Sahu, and Bikesh Kumar Singh
5. Classifying Phonological Categories and Imagined Words from EEG Signal
Ashwin Kamble, Pradnya H Ghare, and Vinay Kumar
6. Blood Pressure Monitoring Using Photoplethysmogram and Electrocardiogram Signals
Jamal Esmaelpoor and Zahra Momayez Sanat
7. Investigation of the Efficacy of Acupuncture Using Electromyographic Signals
Kim Ho Yeap, Wey Long Ng, Humaira Nisar, and Veerendra Dakulagi
8. Appliance Control System for Physically Challenged and Elderly Persons through Hand Gesture-Based Sign Language
G. Boopathi Raja
9. Computer-Aided Drug Designing -- Modality of Diagnostic System
Shalini Ramesh, Sugumari Vallinayagam, Karthikeyan Rajendran, Sasireka Rajendran, Vinoth Rathinam, and Sneka Ramesh
10. Diagnosing Chest-Related Abnormalities Using Medical Image Processing through Convolutional Neural Network
Vignessh B., Reena Raj, and Balakrishnakumar
11. Recent Trends in Healthcare System for Diagnosis of Three Diseases Using Health Informatics
Shawni Dutta and Samir Kumar Bandyopadhyay
12. Nursing Care System Based on Internet of Medical Things (IoMT) through Integrating Non-Invasive Blood Sugar (BS) and Blood Pressure (BP) Combined Monitoring
Patrali Pradhan, Subham Ghosh, and Biswarup Neogi
13. Eye Disease Detection from Retinal Fundus Image Using CNN
Padma Selvaraj and Pugazendi Rajagopal
"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"--
9781003147817 100314781X 9781000413304 1000413306 9781000413359 1000413357
10.1201/9781003147817 doi
Biomedical engineering.
Signal processing.
MEDICAL / Biotechnology
TECHNOLOGY / Electricity
R856
610.28