Over many decades, research is being attempted for the removal of noise in
the ambulatory EEG. In this respect, an enormous number of research papers is
published for identification of noise removal, It is difficult to present a
detailed review of all these literature. Therefore, in this paper, an attempt
has been made to review the detection and removal of an noise. More than 100
research papers have been discussed to discern the techniques for detecting and
removal the ambulatory EEG. Further, the literature survey shows that the
pattern recognition required to detect ambulatory method, eye open and close,
varies with different conditions of EEG datasets. This is mainly due to the
fact that EEG detected under different conditions has different
characteristics. This is, in turn, necessitates the identification of pattern
recognition technique to effectively distinguish EEG noise data from a various
condition of EEG data.

该研究综述了超过 100 篇研究论文，讨论了识别和消除步态脑电信号中的噪声的技术，发现步态脑电数据的图案识别技术受不同条件下的影响，需要通过有效的模式识别技术区分噪声和其他条件下的步态脑电数据。