ECG Signal Processing and Analysis, Computational Technology and Applications

Dear Colleagues,

In recent decades, there have been vast improvements in the biomedical signal processing field thanks to the great advances in many technological fields such as electronics, communications, engineering, computational modeling, and machine learning. In particular, the techniques for the analysis of electrocardiographic signals (ECG) have notably improved and several of them have already been incorporated into ECG recording devices, facilitating their use by clinicians. This, together with the computationally highly demanding cardiac activity simulations, has entailed significant advances in the personalization and adaption of therapies and treatments applied to a wide variety of patients.

The main topics for reviews and original research papers involved in this Special Issue focus on sensors and their application, including new methodologies, techniques, solutions and potential applications in the field of cardiac signal processing and simulation:

• ECG recordings with wearables: offline and real-time embedded signal processing techniques;
• In silico ECG simulations: from the ionic level up to the 3D thoracic volume;
• ECG ambulatory monitoring in diseased patients;
• ECG processing in extreme conditions such as hyperbaric environments or abnormal temperature and humidity contexts;
• ECG classification and risk stratification (classical + modern classifiers, machine learning…);
• Influence of the autonomic nervous system on cardiac activity in monitoring and pathophysiological conditions.

Dr. Carlos Sánchez
Prof. Dr. Jan Cornelis
Guest Editors

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