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Biosignal Acquisition and Processing A Project-Based Learning Approach

Biosignal Acquisition and Processing [electronic resource] : A Project-Based Learning Approach / by Hugo Humberto Plácido da Silva, Hugo Filipe Silveira Gamboa, Rui Pedro Sousa Varandas, Guilherme Alexandre dos Santos Espadanal Ramos.
1st ed. 2024.
Cham : Springer International Publishing : Imprint: Springer, 2024.
Physical Description
1 online resource (VIII, 352 p.) 261 illus., 251 illus. in color.
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This textbook provides an introduction to common concepts in biosignal acquisition and processing, rooted in a Project-Based Learning (PBL). A series of exercises and corresponding solutions is described, with a focus on common problems that new entrants encounter in the undergraduate and graduate curriculums in biomedical engineering, psychophysiology, human-computer interaction, physiotherapy, and others developing work in the boundary between biosignal acquisition and other disciplines. Solutions include both hardware and software components, encompassing sensor design, biosignals acquisition using the Arduino and BITalino platforms, Python for signal processing, analysis, and knowledge extraction, including also HTML/CSS/JavaScript for user interface design. All the content is supported with rich graphics, source code, and other useful resources made available to the interested reader. This is an ideal book for undergraduate students and practitioners (across disciplines) who are studying or working in the field of biomedical signal acquisition, processing, and analysis.
Variant and related titles
Springer ENIN.
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Books / Online
Added to Catalog
June 10, 2024
Learning Materials in Biosciences,
Learning Materials in Biosciences,
Chapter 1. Meet your Biosignals
Chapter 2. Biosignals Sensor Creation
Chapter 3. Arduino Essentials
Chapter 4. Analog Signals
Chapter 5. Data Transmission
Chapter 6. Sampling
Chapter 7. Live Streaming.-Chapter 8. Basic Primer on APIs
Chapter 9. Real-time Analytics
Chapter 10. Essentials of Data Processing
Chapter 11. Working with Features
Chapter 12. Frequency Domain
Chapter 13. Signal Modulation
Chapter 14. Machine Learning
Chapter 15. Machine Learning Strikes Back
Chapter 16. File Exploration
Chapter 17. From Python to the World
Chapter 18. Interchanging Data
Chapter 19. Into the World Wild Web
Chapter 20. Jazzing Up Your UIs.-Chapter 21. Tame Your Pages.

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