Optimised multi‐wavelet domain for decomposed electrooculogram‐based eye movement classification-Reference-Cited by-同舟云学术

Optimised multi‐wavelet domain for decomposed electrooculogram‐based eye movement classification

Published:2020-06-03 Issue:9 Volume:14 Page:1862-1869
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Mulam Harikrishna¹,Mudigonda Malini²

Affiliation:

1. Department of Electronics and Instrumentation EngineeringVNR Vignana Jyothi Institute of Engineering and TechnologyBachupallyHyderabad‐90India

2. Department of Biomedical EngineeringUniversity College of Engineering, Osmania UniversityHyderabadIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.0277

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4. Classifying depression patients and normal subjects using machine learning techniques and non‐linear features from EEG signal;Hosseinifarda B.;Comput. Methods Programs Biomed.,2013

5. Monitoring eye and eyelid movements by infrared reflectance oculography to measure drowsiness in drivers

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