My Account Log in

1 option

Open Source Biomedical Engineering : Bridging the Gap Between Sensing, Processing, and Visualization / edited by Hugo Plácido da Silva, Patrícia Justo Bota, Ana Sofia Cacais do Carmo.

Springer eBooks EBA - Engineering Collection 2026 Available online

View online
Format:
Book
Author/Creator:
Silva, Hugo Plácido da.
Contributor:
Bota, Patrícia Justo.
Cacais do Carmo, Ana Sofia.
Series:
Engineering Series
Language:
English
Subjects (All):
Biomedical engineering.
Biotechnology.
Open source software.
User interfaces (Computer systems).
Human-computer interaction.
Signal processing.
Biomedical Engineering and Bioengineering.
Open Source.
User Interfaces and Human Computer Interaction.
Digital and Analog Signal Processing.
Local Subjects:
Biomedical Engineering and Bioengineering.
Biotechnology.
Open Source.
User Interfaces and Human Computer Interaction.
Digital and Analog Signal Processing.
Physical Description:
1 online resource (316 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book provides a practical end-to-end approach to open source technology in biomedical engineering, covering topics that range from hardware and software design to data acquisition, processing tools, and cloud-based storage. Biomedical device conceptualization, design of experimental evaluation studies, and moving from early-stage prototypes to shelve-worthy products benefiting from open source technologies are also covered. The technical chapters are complemented by working examples and address problems that new entrants and professionals encounter when developing work in biomedical engineering, human-computer interaction, physiological computing, psychophysiology, physiotherapy, and related areas. The book is enriched by case studies where open source technologies have been successfully used to accelerate new developments in biomedical engineering. Contributions are rooted in the state-of-the-art and latest advances in hardware platforms, Python for the signal processing and analysis components, and web-based technologies for the user interface components. Provides hardware, software, and product design guidelines; Includes source code, case studies, and application examples; Accessible to a broad audience interested in moving quickly from a biomedical idea to a solution.
Contents:
Ch 1: Structured Methodologies for Iterative Concept Design and Biomedical Device Development
Ch 2: ScientISST CORE: A Novel Hardware Platform for Rapid Prototyping
Ch 3: Abstracting Low-level Hardware and Firmware Specificities Through Application Programming Interfaces (APIs)
Ch 4: BioSPPy: Opening Physiological Signal Processing to the World
Ch 5: Interactive Machine Learning: Strategies for Live Performance Using Electromyography
Ch 6: REPOVIZZ: An Online Platform for Open Access and Visualization of Time-Aligned Multimodal Data Streams
Ch 7: Creating a Biomedical Dataset: Conceiving a Purpose Statement, Developing an Experimental Protocol, and Addressing Data Management
Ch 8: Using open-source Hardware for Enhancing Lean Entrepreneurship
Ch 9: Technology Transfer: From Research to Industrialization
Ch 10: Case Study: Towards Firefighter Monitoring in the Real-World
Ch 11: Case Study: Sympathia Sense
Ch 12: Case Study: COPD Pulmonary Rehabilitation with Biofeedback Physiotherapy.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-03655-0
9783032036551
OCLC:
1569185174

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account