03887nam a22004815i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050002000153072001600173072002300189072001500212100009600227245024400323250001800567264007500585300006800660336002600728337002600754338003600780347002400816490005000840505072400890520109601614650001902710650002302729650002802752650001902780650004202799650004702841700009102888700008802979700011003067710003403177773002603211776003603237776003603273830005003309856004603359978-3-031-35187-7DE-He21320251030112332.0cr nn 008mamaa240530s2024    sz |    s    |||| 0|eng d  a97830313518777 a10.1007/978-3-031-35187-72doi 4aTP248.13-248.65 7aTCB2bicssc 7aSCI0100002bisacsh 7aTCB2thema1 ada Silva, Hugo Humberto Plácido.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aBiosignal Acquisition and Processingh[electronic resource] :bA Project-Based Learning Approach /cby Hugo Humberto Plácido da Silva, Hugo Filipe Silveira Gamboa, Rui Pedro Sousa Varandas, Guilherme Alexandre dos Santos Espadanal Ramos.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aVIII, 352 p. 261 illus., 251 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLearning Materials in Biosciences,x2509-61330 aChapter 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.  aThis 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. 0aBiotechnology. 0aSignal processing. 0aBiomedical engineering.14aBiotechnology.24aDigital and Analog Signal Processing.24aBiomedical Engineering and Bioengineering.1 aSilveira Gamboa, Hugo Filipe.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut1 aSousa Varandas, Rui Pedro.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut1 ados Santos Espadanal Ramos, Guilherme Alexandre.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303135186008iPrinted edition:z9783031351884 0aLearning Materials in Biosciences,x2509-613340uhttps://doi.org/10.1007/978-3-031-35187-7