This book presents the theoretical basis and applications of biomedical signal analysis and processing. This covers the nature of the most common biomedical signals followed by theoretical basis of linear signal processing and machine learning concepts, and pertinent applications.

1. Signal Processing for Understanding Physiological Mechanisms for Information Decoding 2. Automated Recognition of Alzheimer's Dementia: A Review of Recent Developments in the Context of Interspeech ADReSS Challenges 3. Electrogastrogram Signal Processing: Techniques and Challenges with Application for Simulator Sickness Assessment 4. Impact of Cognitive Demand on the Voice Responses of Parkinson's Disease and Healthy Cohorts 5. Electroencephalography and Epileptic Discharge Identification 6. A Novel End-to-End Secure System for Automatic Classification of Cardiac Arrhythmia 7. Machine Learning for Detection and Classification of Motor Imagery in Electroencephalographic Signals 8. Emotion Recognition from Electroencephalographic and Peripheral Physiological Signals Using Artificial Intelligence with Explicit Features 9. Identification of Emotion Parameters in Music to Modulate Human Affective States: Towards Emotional Biofeedback as a Therapy Support 10. Updated ICA Weight Matrix for Lower Limb Myoelectric Classification 11. Cortical Correlates of Unilateral Transfemoral Amputees during a Balance Control Task with Vibrotactile Feedback 12. Assessing the Impact of Body Mass Index on Gait Symmetry of Able-Bodied Adults Using Pressure-Sensitive Insole 13. Analysis of Lower Limb Muscle Activities during Walking and Jogging at Different Speeds 14. Biosensors in Optical Devices for Sensing and Signal Processing Applications