Cardio-Respiratory Signal Processing and Classification: Trends, Applications, and Future Directions

Non-invasive measurements of cardio-respiratory signals has improved diagnosis and prognosis in human health. This edited book invites original theoretical, practical, and review chapters aimed at proposing advancements in cardio-respiratory signal processing methods for healthcare applications. Exemplary themes of interest covered in this title include cardio-respiratory signal processing challenges using complex physiological data, novel HRV analysis, and data extracted from modern wearables and biosensors. Features: Provides a detailed explanation and signal processing analysis of cardio-respiratory signals. Reports novel signal processing and time-frequency methods for cardio-respiratory signals. Presents the theoretical basis of cardio-respiratory analysis and state-of-the-art applications. Explains new and improved techniques and theories related to cardio-respiratory signal analysis. Combines the primary knowledge of cardio-respiratory signal analysis and processing, from theory and applications. This book is aimed at researchers and graduate students in biomedical signal processing, signal processing, and electrical engineering.