Community Research and Development Information Service - CORDIS


Digital signal processing and image analysis are fundamental technologies for analysing and interpreting physiological and other medical data and presenting information to professionals.

Digital signal processing is used at many stages in handling information: to enhance signals, categorise them, analyse and recognize primitives, distinguish physical properties and segment data to interpret images. Combining signal processing with knowledge based techniques has opened new avenues for applications. Major areas in medicine in need of these techniques include physiological and neurophysiological function studies, laboratory activities and critical care environments. The application needs would range from providing signals with verified adequate quality, to intelligent alarming, to multi-signal fusion for analysis and interpretation, and to the creation of adaptive signal processing architectures. A realted problem areas concerns the validity of signals, i.e. what are the normal values and morphologies of signals. In some areas progress has recently been made in generating reference libraries of normal and abnormal signals and their reference values, for example in diagnostic ECGs, EEGs and EMGs.
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