Biomedical Signal Processing for Healthcare Applications (Hardcover, 1)

1. Automatic Sleep EEG Classification with Ensemble Learning using Graph Modularity. Sudarson Jena, Jibendu Kumar Mantri, Chinmaya Misra2. Recognition of distress phase situation in human emotion EEG physiological signals. Abdultaofeek Abayomi, Oludayo Olufolorunso Olugbara, Delene Heukelman3. Analysis and Classification of Heart Abnormailities. Ayesha Heena4. Diagnosis of Parkinson’s diseases using deep learning approaches: a review. Priyanka Khanna, Mridu Sahu, Bikesh Kumar Singh5. Classifying phonological categories and imagined words from EEG signals (Design, Method, Simulation, idea, writing). Ashwin Kamble, Pradnya Ghare, Vinay Kumar6. Blood pressure monitoring using photoplethysmogram and electrocardiogram signals. Jamal Esmaelpoor, Zahra Momayez Sanat, Mohammad Hassan Moradi7. Investigation of the Efficacy of Acupuncture Using Electromyographic Signals. Kim Ho Yeap, Wey Long Ng, Humaira Nisar, Veerendra Dakulagi8. Appliance Control System for Physically Challenged and Elderly Persons through Hand Gesture based Sign Language. Boopathi Raja G9. Computer aided Drug Designing- modality of diagnostic system. Shalini Ramesh, Sugumari Vallinayagam, Karthikeyan Rajendran, Sasireka Rajendran, Vinoth Rathinam, Sneka Ramesh10. Diagnosing Chest related Abnormalities using Medical Image Processing through Convolutional Neural Network. Sneka Ramesh, Vignessh B, Reena Raj, Balakrishnakumar V11. Recent Trends in Healthcare System for Diagnosis of Three Diseases Using Health Informatics. Shawni Dutta, Samir Kumar Bandyopadhyay12. Nursing Care System Based on Internet of Medical Things (IOMT) Through Integrate Non-Invasive Blood Sugar (BS) And Blood Pressure (BP) Combined Monitoring. Patrali Pradhan, Subham Ghosh, Biswarup Neogi13.Eye Disease Detection from Retinal Fundus Image using CNN.Padma Selvaraj, Pugazendi Rajagopal