Passive and active brain-computer interfaces for rehabilitation in health 4.0

Passive and active brain-computer interfaces for rehabilitation in health 4.0

In this manuscript, the work conducted with passive and active brain-computer interfaces (BCI) within the Health 4.0 framework is reported. Such systems are feasible for a real-time personalized rehabilitation. No-tably, passive BCIs are studied for detecting the engage-ment of patients, while activ...

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Bibliographic Details
Main Authors: Leopoldo Angrisani, Pasquale Arpaia, Antonio Esposito, Ludovica Gargiulo, Angela Natalizio, Giovanna Mastrati, Nicola Moccaldi, Marco Parvis
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Measurement: Sensors
Subjects:
Brain-computer interface
Health 4.0
Wearable
Electroencephalography
Machine learning
Low-cost
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917421002099

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http://www.sciencedirect.com/science/article/pii/S2665917421002099

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