Aquisição e Processamento de Biossinais

During contact hours, (theoretical and laboratory classes), expository and demonstrative teaching methodologies respectively are privileged. The laboratory classes will take place in a laboratory that has computers, signal acquisition boards, power supplies, signal generators, oscilloscopes, and other electronic components in order to allow lab assignments to be carried out after theoretical contents exposition.
The non-contact hours are dedicated to the autonomous work, by the student, including the preparation of the work to be carried out, the analysis of the laboratory results obtained and the reports writing.
The UC assessment comprises two components of equal weight: a final written exam and laboratory work.

The main objective of this course is to provide students with specific knowledge in the areas of bio signals acquisition and processing.
It is intended that students acquire knowledge related to the acquisition and conditioning of signals through ADC and additional hardware, adapted to the characteristics of the signals to be analyzed.
Students should also acquire knowledge about digital signal processing in order to analyze and extract the most relevant characteristics of the acquired signals.
At the end of the course, students should be able to design and implement a technological solution, with hardware and software components, that responds to a specific problem of acquisition and processing of the mentioned bio-signals.

1. Biomedical signals
1.1. Sources and properties of biomedical signals
1.2. Noise and noise sources
2. Analog signals sampling
2.1. Analog and digital signals
2.2. Sampling, quantization
2.3. Time and frequency domains, aliasing
3. Biomedical signals acquisition
3.1. Analog-to-Digital Converters (ADCs)
3.2. Digital-to-Analog Converters (DACs)
3.3. Quantization noise
3.4. ADC performance parameters
4. Signal conditioning
4.1. Signals interference and coupling
4.2. Basic circuits with OPAMPS
4.3. Isolation amplifier and instrumentation amplifier
5. Analog and digital signals filtering
5.1. Analog passive and active filters
5.2. Digital FIR and IIR filters
6. Filters design and implementation FIR e IIR
6.1. Z transform
6.2. FIR filters design – window method
6.3. IIR filters design – bilinear transformation method
7. Biomedical signal processing
7.1. Processing and analysis of biosignal in practical applications

NAO

 Semmlow, J. L. (2018). Circuits, signals and systems for bioengineers: a MATLAB-based introduction (3rd ed). London: Academic Press
 Webster, J. G., & Clark, J. W. (2010). Medical instrumentation: Application and design (4th ed.).
 Hoboken (N.J.): Wiley.
 Bronzino, J. D. (2006). The biomedical engineering handbook; Vol. 2: Medical devices and systems
 Reddy, D. C. (2006). Biomedical signal processing: Principles and techniques. McGraw Hill.
 Northrop, R. B. (2012). Analysis and application of analog electronic circuits to biomedical instrumentation. Boca Raton, Fla: CRC Press.