DocumentCode
57388
Title
Comments on “Efficient Signal Conditioning Techniques for Brain Activity in Remote Health Monitoring Network”
Author
Faiz, Mohammed Mujahid Ulla
Author_Institution
Electr. & Electron. Eng. Technol. Unit, Hafr Al-Batin Community Coll., Hafr Al-Batin, Saudi Arabia
Volume
15
Issue
9
fYear
2015
fDate
Sept. 2015
Firstpage
5349
Lastpage
5350
Abstract
The main purpose of this paper is to remove misconceptions among biomedical signal processing researchers concerning the implementation of adaptive noise cancelers using the sign-error least mean fourth (SELMF), sign-sign least mean fourth (SSLMF), and their variant algorithms.
Keywords
electroencephalography; least mean squares methods; medical signal processing; patient monitoring; signal denoising; adaptive noise cancelers; biomedical signal processing researchers; brain activity; efficient signal conditioning techniques; remote health monitoring network; sign-error least mean fourth; sign-sign least mean fourth; variant algorithms; Adaptive algorithms; Algorithm design and analysis; Monitoring; Noise; Sensors; Signal processing algorithms; Adaptive noise cancelers; SELMF; SSLMF;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2015.2431260
Filename
7104099
Link To Document