04253nam a22005655i 4500 978-3-031-35187-7 DE-He213 20251030112332.0 cr nn 008mamaa 240530s2024 sz | s |||| 0|eng d 9783031351877 978-3-031-35187-7 10.1007/978-3-031-35187-7 doi TP248.13-248.65 TCB bicssc SCI010000 bisacsh TCB thema da Silva, Hugo Humberto Plácido. author. aut http://id.loc.gov/vocabulary/relators/aut 79337 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. VIII, 352 p. 261 illus., 251 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Learning Materials in Biosciences, 2509-6133 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. 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. Biotechnology. 65162 Signal processing. Biomedical engineering. Biotechnology. 65162 Digital and Analog Signal Processing. Biomedical Engineering and Bioengineering. Silveira Gamboa, Hugo Filipe. author. aut http://id.loc.gov/vocabulary/relators/aut 79338 Sousa Varandas, Rui Pedro. author. aut http://id.loc.gov/vocabulary/relators/aut 79339 dos Santos Espadanal Ramos, Guilherme Alexandre. author. aut http://id.loc.gov/vocabulary/relators/aut 79340 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031351860 Printed edition: 9783031351884 Learning Materials in Biosciences, 2509-6133 73634 https://doi.org/10.1007/978-3-031-35187-7 ZDB-2-SBL ZDB-2-SXB 61027 61027