In biomedical signal processing, the aim is to extract clinically, biochemically or pharmaceutically relevant information (e.g metabolite concentrations in the brain) in terms of parameters out of low-quality measurements in order to enable an improved medical diagnosis. Five case studies in different biomedical areas are introduced. For each topic, the applied computational techniques - making use of advanced linear algebra, optimisation, signal processing, and system identification - are described. (6 pages)
Inspec keywords: optimisation; brain; linear algebra; biochemistry; kidney; identification; NMR spectroscopy; medical signal processing; electrocardiography; infrared spectroscopy
Subjects: Linear algebra (numerical analysis); Biology and medical computing; Biomedical measurement and imaging; Patient diagnostic methods and instrumentation; Digital signal processing; Algebra, set theory, and graph theory; Signal processing and detection; Linear algebra (numerical analysis); Optimisation techniques; Optimisation techniques; General, theoretical, and mathematical biophysics
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content/conferences/10.1049/ic_20020291
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