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
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;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2015.2431260
