Machine Learning-Empowered Biometric Methods for Biomedicine Applications

Machine Learning-Empowered Biometric Methods for Biomedicine Applications

Nowadays, pervasive computing technologies are paving a promising way for advanced smart health applications. However, a key impediment faced by wide deployment of these assistive smart devices, is the increasing privacy and security issue, such as how to protect access to sensitive patient data in...

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Bibliographic Details
Main Authors: Qingxue Zhang, Dian Zhou, Xuan Zeng
Format: Article
Language:English
Published: American Institute of Mathematical Sciences 2017-07-01
Series:AIMS Medical Science
Subjects:
biomedicine
smart health
biometrics
user identification
electrocardiogram
electroencephalogram
neural network
random forest
AdaBoost
Online Access:http://www.aimspress.com/medicalScience/article/1538/fulltext.html

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http://www.aimspress.com/medicalScience/article/1538/fulltext.html

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