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# Biosignal Analysis and Processing

 Code 14785 Year 2 Semester S2 ECTS Credits 6 Workload PL(30H)/T(30H) Scientific area Electrotechnics and Electronics Entry requirements N.A. Learning outcomes Introduce students to the study of processing and analysis of biomedical signalsStudy the main mathematical tools for analysis and signal processingApply signal processing to the study of biological signalsDevelop in the student the skills that he/she needs to formulate the analysis of systems Use appropriate software for signal processing Syllabus I The nature of biomedical signals - The reasons for studying biomedical signal processingII Memory and correlation: Properties of operators and transformations; Concepts of memory, energy, power and autocorrelation.III Impulse response: Example “glucose control“; Convolution form of an LTI system; Convolution for continuous-time systems; Relation of impulse response to differential equation.IV Frequency Response: Example “Transducers for measuring knee angle“; Sinusoidal inputs to continuos-time and discrete-time LTI systems; Frequency response of nonlinear systems.V Modeling continuous-time signals as sums of sine waves: Introductory example – Example “Analysis of circadian rhythm"; Sinusoidal basis functions; The Fourier series; Parseval's relation for periodic signals; The Fourier Transform and their properties;VI Responses of linear continuous-time filters to arbitrary inputs: Introductory example; Direct and inverse Laplace Transform; Properties of Laplace Transforms. Main Bibliography Biomedical Signal Processing and Signal Modeling, Eugene N. Bruce, Wiley, December 2000 (ISBN: 978-0-471-34540-4).Biomedical Signal Analysis: A Case-Study Approach by Rangaraj M. Rangayyan, Wiley-IEEE Press, January 2002 (ISBN: 978-0-471-20811-2).Biomedical Signal Processing Principles and Techniques, D. C. Reddy, McGraw-Hill, May 2005 (ISBN: 0071247742). Language Portuguese. Tutorial support is available in English.

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Mathematics and Applications
Last updated on: 2021-03-25

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