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Topic: Downsampling Data
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Joined: Jan 11, 2023
Posts: 26

PostPosted: May 11, 2023 2:17 PM    Post subject: Downsampling Data

Hey Jarek and others,

which instrument(s) do you recommend for downsampling EEG data after Peak-To-Peak / RMS processing?

I just want to get a smoother signal amplitude.

Joined: May 16, 2023
Posts: 1

PostPosted: May 16, 2023 1:22 AM    Post subject:

Low-pass filtering: Applying low-pass filtering can help remove high-frequency noise and artifacts while retaining the lower-frequency components of the signal, which can lead to a smoother signal amplitude. You can use different filters for this, such as Butterworth filter, Kaiser filter, etc.
Smoothing: Applying smoothing techniques can help to average signal values within a certain window and reduce the influence of spikes and noise artifacts. Examples are Moving average, Exponential smoothing and other methods.
Interpolation: Using interpolation methods may help to increase the number of data points between the existing points, which may give the impression of a smoother signal. Linear interpolation, cubic interpolation, and splines are some of the interpolation methods that can be applied.
Wavelet analysis: Wavelet analysis allows a signal to be decomposed into different scales and frequencies, which can help detect and extract additional details and components of the signal. Wavelet analysis can improve the resolution and smoothness of the signal amplitude.

Joined: Oct 22, 2007
Posts: 1012

PostPosted: May 16, 2023 11:17 AM    Post subject:

You can downsample with TimeTransform. This is not necessary though if all you need is smoothing.

For that I would probably try AVERAGE option in TimeTransform, or low pass Filter would be another idea.
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