Signals in Health Care

Dear Colleagues,

Biomedical signals enjoy a privileged importance in our daily life. Disease risk evaluation and diagnostics is often based on the analysis of biomedical signals. Frequently, these diagnostic tools are non-invasive and simple to perform in hospitals and health centres. The acquired signals are then submitted to an array of processing algorithms either online or offline. These algorithms, which are the main core of these systems, undergo a validation process before being merged in commercial systems for health care. Electrocardiography, electroencephalography, electromyography and computerized axial tomography are just examples of signals that are studied, modelled and used to make predictions and suggest treatments.

Therefore, contributions regarding these signals are welcome:

• Electrocardiography
• Electroencephalography
• Evoqued Potentials
• Sleep Spindles
• Epilepsy
• Biomedical Image Processing
• Brain-Computer Interface
• Electromyography
• Neuroprosthetics
• Sleep Classification
• Electrogastrography
• Electroenterography
• Electrocystography
• Electrohysterography
• Anal Sphincter Electromyography
• Electrocorticography

Prof. Dr. Manuel D. Ortigueira
Prof. Dr. Carla Pinto
Prof. Dr. Arnaldo Guimarães Batista
Guest Editors

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