Physiological interference reduction for near infrared spectroscopy brain activity measurement based on recursive least squares adaptive filtering and least squares support vector machines-Reference-Cited by-同舟云学术

Physiological interference reduction for near infrared spectroscopy brain activity measurement based on recursive least squares adaptive filtering and least squares support vector machines

Published:2019-01-28 Issue:sup1 Volume:24 Page:160-166
ISSN:2469-9322
Container-title:Computer Assisted Surgery
language:en
Short-container-title:Computer Assisted Surgery

Author:

Liu Xin¹,Zhang Yan²,Liu Dan²,Wang Qisong²,Bai Ou³,Sun Jinwei²,Rolfe Peter²

Affiliation:

1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China;

2. School of Electrical Engineering and Automaton, Harbin Institute of Technology, Harbin, China;

3. Department of Electrical and Computer Engineering, Florida International University, Miami, USA

Funder

National Natural Science Foundation of China

National Science Foundation of USA

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Family Practice,Computer Science Applications,Surgery

Link

https://tandfonline.com/doi/pdf/10.1080/24699322.2018.1557901

Reference17 articles.

1. Noninvasive, Infrared Monitoring of Cerebral and Myocardial Oxygen Sufficiency and Circulatory Parameters

2. A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application

3. Spontaneous Low Frequency Oscillations of Cerebral Hemodynamics and Metabolism in Human Adults

4. Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging

5. False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward

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