Signal-To-Noise Management, SNM

This project aims to promote usability of software for the analysis of evoked potentials by signal-to-noise management. A brief project description you can find here.

N-Interval Fourier Transform analysis (N-FTA) allows for simultaneous spectral assesment of neural evoked activity (power spectral density - PSD) and spontaneous background activity. Here, a download of a MATLAB implementation and data used for validation is provided.

N-FTA can be directly linked to Signal-to-Noise ratio (SNR). A validation of this conversion is also provided for download.

Literature:

• "Converting spectral evoked-to-background ratio into time-domain signal-to-noise ratio – validation for high frequency oscillations," Fischer G, Haueisen J, Baumgarten D, Kofler M. MethodsX15 (2025) https://doi.org/10.1016/j.mex.2025.103617

• "Spectral separation of evoked and spontaneous cortical activity, Part 2: Somatosensory high frequency oscillations," Fischer G, Haueisen J, Baumgarten D, Kofler M. Biomedical Signal Processing and Control 92 (2024) https://doi.org/10.1016/j.bspc.2024.106456

• "Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band," Fischer G, Haueisen J, Baumgarten D, Kofler M. Biomedical Signal Processing and Control 92 (2024) doi.org/10.1016/j.bspc.2024.106094

• "Implementation of N-Interval Fourier Transform Analysis - Application to Compound Action Potentials," Fischer G, Kofler M, Baumgarten D. MethodsX11 (2023) doi:10.1016/j.mex.2023.102441
• "N-Interval fourier transform analysis of cortical evoked responses – Median and tibial SEPs," Fischer G, Baumgarten D, Haueisen J, Kofler M. Clinical Neurophysiology 150 (2023) doi:10.1016/j.clinph.2023.03.076