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Biosignal acquisition and processing = a project-based learning approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biosignal acquisition and processing/ by Hugo Humberto Plácido da Silva ... [et al.].
其他題名:	a project-based learning approach /
其他作者:	Silva, Hugo Humberto Plácido da.
出版者:	Cham :Springer International Publishing : : 2024.,
面頁冊數:	viii, 352 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Biomedical engineering. -
電子資源:	https://doi.org/10.1007/978-3-031-35187-7
ISBN:	9783031351877

Biosignal acquisition and processing = a project-based learning approach /
Biosignal acquisition and processinga project-based learning approach /[electronic resource] :by Hugo Humberto Plácido da Silva ... [et al.]. - Cham :Springer International Publishing :2024. - viii, 352 p. :ill. (chiefly col.), digital ;24 cm. - Learning materials in biosciences,2509-6133. - 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.

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.

ISBN: 9783031351877

Standard No.: 10.1007/978-3-031-35187-7doiSubjects--Topical Terms:

535387
Biomedical engineering.

LC Class. No.: R856

Dewey Class. No.: 610.285

Biosignal acquisition and processing = a project-based learning approach /
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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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