Summary and conclusions

Zhiguo Zhang; Li Hu

doi:10.1007/978-981-13-9113-2_20

Summary and conclusions

Zhiguo Zhang^*
, Li Hu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

EEG remains useful and irreplaceable in multiple clinical applications and scientific researches, with regard to its massive advantages. As EEG continues to spread widely over time, EEG signal processing is still a highly promising and evolving field. Recent developments of EEG processing techniques, such as advanced machine learning for EEG and EEG-related multimodality brain imaging, are expected to make EEG a more powerful and versatile tool in the future.

Original language	English
Title of host publication	EEG Signal Processing and Feature Extraction
Publisher	Springer Singapore
Pages	435-434
Number of pages	2
ISBN (Electronic)	9789811391132
ISBN (Print)	9789811391125
DOIs	https://doi.org/10.1007/978-981-13-9113-2_20
State	Published - 1 Jan 2019
Externally published	Yes

Keywords

EEG signal processing
Machine learning
Multimodality imaging

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10.1007/978-981-13-9113-2_20

Cite this

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KW - Machine learning

KW - Multimodality imaging

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Summary and conclusions

Abstract

Keywords

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