Signal Processing in Biomedical Sensor Systems

Dear Colleagues,

The recent advances in modern signal processing techniques in medicine have improved the accuracy and reliability of medical diagnoses. Today, biomedical signal analysis is becoming one of the most important methods of visualization and interpretation in biology and medicine.

Biomedical signal processing involves the analysis of physiological measurements to provide useful information upon which clinicians can make decisions. Biomedical signal analysis is of importance not only to the physiologists conducting research and the clinicians treating patients but also to the biomedical engineers who are required to process and interpret the physiological signals by designing systems and algorithms for their manipulations. Working with traditional bio-measurement tools, the signals can be computed by software to provide physicians with real-time data and greater insights to aid in clinical assessments. These challenges motivate further effort on the study of biomedical signal analysis, and this Special Issue intends to report the new results of these efforts.

The goal of this Special Issue is to present a complete range of proven and new methods which play a leading role in the improvement of biomedical signal analysis and interpretation. This Special Issue is intended for biomedical, computer science and electronics engineering researchers and graduate students who wish to explore novel research ideas and receive some training in novel biomedical research areas, especially in terms of ECG, EEG and EMG signal applications.

Dr. Ganesh Naik
Dr. Gaetano D. Gargiulo
Dr. Bastien Lechat
Guest Editors

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