Gespeichert in:
Titel: | Biosignal Acquisition and Processing A Project-Based Learning Approach / |
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Von: |
by Hugo Humberto Plácido da Silva, Hugo Filipe Silveira Gamboa, Rui Pedro Sousa Varandas, Guilherme Alexandre dos Santos Espadanal Ramos.
|
Person: |
da Silva, Hugo Humberto Plácido.
author. aut http://id.loc.gov/vocabulary/relators/aut Silveira Gamboa, Hugo Filipe. Sousa Varandas, Rui Pedro. dos Santos Espadanal Ramos, Guilherme Alexandre. |
Hauptverfassende: | , , , |
Körperschaft: | |
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
|
Ausgabe: | 1st ed. 2024. |
Schriftenreihe: | Learning Materials in Biosciences,
|
Schlagwörter: | |
Medienzugang: | https://doi.org/10.1007/978-3-031-35187-7 |
Zusammenfassung: | 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. |
Umfang: | 1 Online-Ressource (VIII, 352 p. 261 illus., 251 illus. in color.) |
ISBN: | 9783031351877 |
ISSN: | 2509-6133 |
Internformat
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520 | |a 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. | ||
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author | da Silva, Hugo Humberto Plácido Silveira Gamboa, Hugo Filipe Sousa Varandas, Rui Pedro dos Santos Espadanal Ramos, Guilherme Alexandre |
author_corporate | SpringerLink (Online service) |
author_corporate_role | |
author_facet | da Silva, Hugo Humberto Plácido Silveira Gamboa, Hugo Filipe Sousa Varandas, Rui Pedro dos Santos Espadanal Ramos, Guilherme Alexandre SpringerLink (Online service) |
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contents | 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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discipline | Chemie / Pharmazie |
edition | 1st ed. 2024. |
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illustrated | Not Illustrated |
indexdate | 2025-06-23T13:27:57Z |
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isbn | 9783031351877 |
issn | 2509-6133 |
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physical | 1 Online-Ressource (VIII, 352 p. 261 illus., 251 illus. in color.) |
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series | Learning Materials in Biosciences, |
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spelling | da Silva, Hugo Humberto Plácido. author. aut http://id.loc.gov/vocabulary/relators/aut 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. 1 Online-Ressource (VIII, 352 p. 261 illus., 251 illus. in color.) 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. Signal processing. Biomedical engineering. Digital and Analog Signal Processing. Biomedical Engineering and Bioengineering. Silveira Gamboa, Hugo Filipe. author. aut http://id.loc.gov/vocabulary/relators/aut Sousa Varandas, Rui Pedro. author. aut http://id.loc.gov/vocabulary/relators/aut dos Santos Espadanal Ramos, Guilherme Alexandre. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031351860 Printed edition: 9783031351884 |
spellingShingle | da Silva, Hugo Humberto Plácido Silveira Gamboa, Hugo Filipe Sousa Varandas, Rui Pedro dos Santos Espadanal Ramos, Guilherme Alexandre Biosignal Acquisition and Processing A Project-Based Learning Approach / 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. Biotechnology. Signal processing. Biomedical engineering. Digital and Analog Signal Processing. Biomedical Engineering and Bioengineering. |
title | Biosignal Acquisition and Processing A Project-Based Learning Approach / |
title_auth | Biosignal Acquisition and Processing A Project-Based Learning Approach / |
title_exact_search | Biosignal Acquisition and Processing A Project-Based Learning Approach / |
title_full | 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. |
title_fullStr | 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. |
title_full_unstemmed | 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. |
title_short | Biosignal Acquisition and Processing |
title_sort | biosignal acquisition and processing a project based learning approach |
title_sub | A Project-Based Learning Approach / |
topic | Biotechnology. Signal processing. Biomedical engineering. Digital and Analog Signal Processing. Biomedical Engineering and Bioengineering. |
topic_facet | Biotechnology. Signal processing. Biomedical engineering. Digital and Analog Signal Processing. Biomedical Engineering and Bioengineering. |
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