Base Knowledge
Signals and Systems
Electronics
Teaching Methodologies
Teaching methods: Presential
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.
Learning Results
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.
Program
1. Biosignals
1.1 – Origin and properties of biosignals
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. 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 – Basic circuits with OPAMPS
4.2 – Isolation amplifier and instrumentation amplifier
4.3 – Signals interference and coupling
4.4 – Analysis and design of passive and active analog filters
5. Digital Signal Processing
5.1 – Discrete-time signal characteristics
5.2 – Discrete-Time Fourier Transform (DTFT)
5.3 – Z Transform and Digital transfer functions
5.4 – Finite Impulse Response (FIR) filters
5.5 – Infinite Impulse Response (IIR) filters
5.6 – Moving average filters
5.7 – FIR and IIR filters design and implementation
6. Biosignals processing
6.1 – Processing and analysis of biosignal in practical applications
Curricular Unit Teachers
Victor Daniel Neto dos SantosInternship(s)
NAO
Bibliography
- 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. CRC/Taylor & Francis (3th ed.);
- Liang, H., Bronzino, J. D., & Peterson, D. R. (2013). Biosignal processing: Principles and practices. CRC Press/Taylor & Francis.
- Reddy, D. C. (2005). Biomedical Signal Processing: Principles and techniques. McGraw Hill.
- Semmlow, J. L. (2018). Circuits, signals and systems for bioengineers: a MATLAB-based introduction (3rd ed). London: Academic Press
- Northrop, R. B. (2012). Analysis and application of analog electronic circuits to biomedical instrumentation. Boca Raton, Fla: CRC Press