# Examining the challenges of identifying high-frequency band waves: A Possible Noise Removal Problem

**URL:** <https://mne.discourse.group/t/examining-the-challenges-of-identifying-high-frequency-band-waves-a-possible-noise-removal-problem/9289>\
**Category:** Support & Discussions\
**Created:** [September 7, 2024, 8:50am UTC](https://mne.discourse.group/t/examining-the-challenges-of-identifying-high-frequency-band-waves-a-possible-noise-removal-problem/9289 "2024-09-07T08:50:02Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![hironobu0529](https://yyz2.discourse-cdn.com/free1/user_avatar/mne.discourse.group/hironobu0529/32/3847_2.png) [@hironobu0529](https://mne.discourse.group/u/hironobu0529)\
**Post date:** [September 7, 2024, 8:50am UTC](https://mne.discourse.group/t/examining-the-challenges-of-identifying-high-frequency-band-waves-a-possible-noise-removal-problem/9289/1 "2024-09-07T08:50:02Z")

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I appreciate the use of MNE and the forum.

I am analyzing task-related high-frequency band waves, but I am encountering difficulties. One possible reason is the lack of effective noise reduction.

I have visually excluded bad channels and used notch filtering, bandpass filtering, and ICA. The results of the power line noise and Morlet wavelet time-frequency analyses are attached.

The confidence intervals for the power line noise seem too wide, and I suspect the EEG data may also have a lot of noise.

Your thoughts and suggestions will be invaluable. I would greatly appreciate any insight you can provide on possible causes and solutions.

I appreciate any help you can provide.

I am working on these environments:

- MNE version: 1.2.3
- Operating System: MacOS 12

 ![Power line noise](https://global.discourse-cdn.com/free1/uploads/mne/original/2X/4/4030b96ed6bf0bc748cea527a09757dafe5a3d40.png)  
 ![Morlet wavelet TFR](https://global.discourse-cdn.com/free1/uploads/mne/original/2X/f/ff6ed8282535bfdd599a5bbac913e92d56f93077.png)
