Advances of Biomedical Signal Processing for Disease Diagnosis, Prognosis or Severity Determination

Dear Colleagues,

Despite the overwhelming advance of technology during the last two decades in all fields, and more concretely in medicine, clinicians still frequently diagnose and prognose by observation, either directly on the patient or indirectly through images or analytical parameters, with a significant subjectivity bias. A huge number of accessible sensors are available nowadays that provide fine-grained dynamical information on inner body and organ processes, different from the regular information used in clinical practice. The analysis of this information can provide objective, more robust, and accurate diagnostic and prognostic criteria, as well as better characterize the disease stage. However, most biomedical signals contain noise of different types, due to the low amplitude, as well as aggregated information from different concurrent sources. In this sense, advanced methods and techniques are needed to extract clinically meaningful information from the signals in order to fully exploit their diagnostic and prognostic potential.

Besides, clinicians have traditionally worked inside the boundaries of their own field. However, given that technology is becoming more and more present in clinical practice, the collaboration between clinicians, physicists and engineers seems mandatory. Moreover, this interdisciplinary collaboration might lead to more accurate and efficient medicine.

The aim of this Special Issue is to evidence the benefit of the interdisciplinary joint effort of Physics, Engineering and Medicine by bringing together works on advanced biomedical signal processing techniques that provide added value to the diagnosis, prognosis or stage determination of any disease or condition, either structural or functional.

Dr. José Ignacio Serrano
Dr. María Dolores del Castillo
Guest Editors

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