About this Research Topic
Signal acquisition and processing of biological signals (e.g., electroencephalogram, electrocardiogram, electrooculogram, electromyogram, pulse oximetry, etc.) have gained much importance in the field of Medicine. This area of research is an interdisciplinary field comprising clinicians, biologists, physicists, engineers, mathematicians, among others. Various processing algorithms are applied to the biological signals to extract information that can help in predicting the diseased condition at an early stage or to divulge information on the existing diseased conditions. Further, the processing algorithms can be used to develop rehabilitation devices.
This Research Topic will include research and review articles on the fundamental and applied research aspects of biosignal acquisition and signal processing techniques, with an emphasis on the applications in disease, health, and rehabilitation. Potential topics include, but are not limited to, the recent advances in the acquisition of:
• Biosignals (e.g., ECG, EOG, EMG, EEG, pulse oximetry, etc.)
• Data mining
• Feature extraction
• Feature engineering
• Machine learning
• Disease classification
• Rehabilitation engineering employing biosignal acquisition and processing
Keywords: Data mining, Classification, Disease, Rehabilitation, Health or disease prediction
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.