Is Biological rhythm associated with the mortality of COVID-19? -- Deep Learning in Biomedical devices: Perspectives, Applications and Challenges -- Effect of 3D-Multiple object Tracking training on manual dexterity in elderly adults with dementia and mild cognitive impairment -- Rhythmic Pattern of EEG for Identifying Schizophrenia -- Prior Prediction and Management of Autism in Child through Behavioral Analysis using Machine Learning Approach -- DNN and LiDAR Sensor Based Crowd Avoidance Method for Nurse-Following Robot in Healthcare.

This book provides an insightful review and methodological contribution about future healthcare system. It also provides a space for creating and designing techniques for effective sensing, processing, and analysis of patient health situations based on bio-signal processing. Additionally, it discusses novel methods and algorithms which are needed to overcome limitations in current rhythmic bio-signals models. It also discusses solutions and systems needed to efficiently evaluate and process real-time data. The book is useful for wide range of users, including students, research scientists, teachers, and practitioners working in the field of heath informatics, neuroscience, biomedical engineering, and medical image processing and diagnosis.