Biosignal data processing with practical examples in Python
Academic Press
Book
Paperback/Softback
270 pages
978-0-12-817198-1 (ISBN)
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 191 mm
ISBN-13
978-0-12-817198-1 (9780128171981)
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Schweitzer Classification
Persons
Nuno Garcia holds a PhD in Computer Science Engineering from the University of Beira Interior (UBI, Covilha, Portugal) (2008) and he is a 5-year BSc in Mathematics / Informatics also from UBI (1999-2004). He was founder and is coordinator of the Assisted Living Computing and Telecommunications Laboratory (ALLab), a research group within the Instituto de Telecomunicacoes at UBI. He is the main author of several international, European and Portuguese patents. He is member of the Non-Commercial Users Constituency, a group within GNSO in ICANN. He is also member of ACM SIGBio, ISOC and IEEE. His main interests include Next-Generation Networks, algorithms for bio-signal processing, distributed and cooperative protocols.
Nuno Garcia holds a PhD in Computer Science Engineering from the University of Beira Interior (UBI, Covilha, Portugal) (2008) and he is a 5-year BSc in Mathematics / Informatics also from UBI (1999-2004). He was founder and is coordinator of the Assisted Living Computing and Telecommunications Laboratory (ALLab), a research group within the Instituto de Telecomunicacoes at UBI. He is the main author of several international, European and Portuguese patents. He is member of the Non-Commercial Users Constituency, a group within GNSO in ICANN. He is also member of ACM SIGBio, ISOC and IEEE. His main interests include Next-Generation Networks, algorithms for bio-signal processing, distributed and cooperative protocols.
Nuno Garcia holds a PhD in Computer Science Engineering from the University of Beira Interior (UBI, Covilha, Portugal) (2008) and he is a 5-year BSc in Mathematics / Informatics also from UBI (1999-2004). He was founder and is coordinator of the Assisted Living Computing and Telecommunications Laboratory (ALLab), a research group within the Instituto de Telecomunicacoes at UBI. He is the main author of several international, European and Portuguese patents. He is member of the Non-Commercial Users Constituency, a group within GNSO in ICANN. He is also member of ACM SIGBio, ISOC and IEEE. His main interests include Next-Generation Networks, algorithms for bio-signal processing, distributed and cooperative protocols.
Author
Assistant Professor and Computer Science Engineering BSc Course Director, University of Beira Interior Covilha, Portugal and Invited Associate Professor, Universidade Lusofona de Humanidades e Tecnologias Lisbon, Portugal
Content
Part 1: Introduction 1.1 Human Data Interaction Principles 1.1.1 Usability 1.1.2. Security and privacy 1.2 AAL challenges and opportunities 1.3 IoT for Health and Wellbeing 1.4 FoG and Cloud Based Systems Part 2: Data Processing with Python examples 2.1 Biosignal Processing Principles 2.2 Data acquisition 2.2.1. wearables devices 2.2.2. non-wearable devices 2.2.3. protocols for data transfer 2.3 Sensor Data Fusion 2.3.1. Equal frequency data fusion 2.3.2. Variable frequency data fusion 2.4 Feature Extraction 2.4.1. Time domain features 2.4.2. Frequency domain features 2.5 Classification Techniques: application and considerations 2.5.1 Unsupervised learning 2.5.2 Supervised learning 2.5.3 Reinforcement learning 2.6 Personalized AAL Recommendation Systems Part 3: Use cases 3.1 Living Labs 3.2 AAL Project Pilots