EEG Signal Analysis and Classification Techniques and Applications
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction
- PDF / 7,946,458 Bytes
- 257 Pages / 453.543 x 683.15 pts Page_size
- 8 Downloads / 386 Views
Siuly Siuly Yan Li Yanchun Zhang
EEG Signal Analysis and Classification Techniques and Applications
Health Information Science Series editor Yanchun Zhang, Victoria University, Melbourne, Victoria, Australia Editorial Board Riccardo Bellazzi, University of Pavia, Italy Leonard Goldschmidt, Stanford University Medical School, USA Frank Hsu, Fordham University, USA Guangyan Huang, Victoria University, Australia Frank Klawonn, Helmholtz Centre for Infection Research, Germany Jiming Liu, Hong Kong Baptist University, Hong Kong Zhijun Liu, Hebei University of Engineering, China Gang Luo, University of Utah, USA Jianhua Ma, Hosei University, Japan Vincent Tseng, National Cheng Kung University, Taiwan Dana Zhang, Google, USA Fengfeng Zhou, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
With the development of database systems and networking technologies, Hospital Information Management Systems (HIMS) and web-based clinical or medical systems (such as the Medical Director, a generic GP clinical system) are widely used in health and clinical practices. Healthcare and medical service are more data-intensive and evidence-based since electronic health records are now used to track individuals’ and communities’ health information. These highlights substantially motivate and advance the emergence and the progress of health informatics research and practice. Health Informatics continues to gain interest from both academia and health industries. The significant initiatives of using information, knowledge and communication technologies in health industries ensures patient safety, improve population health and facilitate the delivery of government healthcare services. Books in the series will reflect technology’s cross-disciplinary research in IT and health/medical science to assist in disease diagnoses, treatment, prediction and monitoring through the modeling, design, development, visualization, integration and management of health related information. These technologies include information systems, web technologies, data mining, image processing, user interaction and interfaces, sensors and wireless networking, and are applicable to a wide range of health-related information such as medical data, biomedical data, bioinformatics data, and public health data.
More information about this series at http://www.springer.com/series/11944
Siuly Siuly Yan Li Yanchun Zhang •
•
EEG Signal Analysis and Classification Techniques and Applications
123
Siuly Siuly Centre for Applied Informatics, College of Engineering and Science Victoria University Melbourne, Victoria Australia
Yanchun Zhang Centre for Applied Informatics, College of Engineering and Science Victoria University Melbourne, Victoria Australia
Yan Li School of Agricultural, Computational and Environmental Sciences, Faculty of Health, Engineering and Sciences University of Southern Queensland Toowoomba, Queensland Australia
and
ISSN 2366-0988 Health Information Science ISBN 978-3-319-47652-0 DOI 10.1007/978-3-319-47653-7
School of Comp
Data Loading...
