Signals in Health Care and Monitoring

Dear Colleagues,

Disease diagnostics and risk evaluation are often based on signal analysis. Biomedical signal processing has a privileged importance in our daily lives as a powerful tool in the diagnostic and treatment process of innumerous health conditions. In most cases, the acquisition tools are non-invasive and simple to use in hospitals and healthcare centres. The acquired signals are typically submitted to an array of processing algorithms either online or offline, which then undergo a thorough validation process, before being merged in commercial systems for healthcare. ECG, EEG, EMG, TAC and NMR are examples of signals that are studied, modelled and used to make predictions and recommend medical procedures.

With these ideas in mind, we welcome novel research works on signals in all biomedical signal processing fields, including the following:

• Electrocardiography;
• Electroencephalography;
• Evoked potentials;
• Sleep spindles;
• Epilepsy;
• Diabetes;
• COVID-19;
• Signals in Inflammation
• Biomedical image processing;
• Computer vision
• Brain–computer interface;
• Electromyography;
• Neuroprosthetics;
• Sleep classification;
• Electrogastrography;
• Electroenterography;
• Electrocystography;
• Electrohysterography;
• Anal sphincter electromyography;

Prof. Dr. Manuel Ortigueira
Prof. Dr. Carla M.A. Pinto
Prof. Dr. Arnaldo Guimarães Batista
Prof. Dr. Álvaro Astasio Picado
Dr. Jia Chen
Guest Editors

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