Download the notebook : stimic_artefact_distance.py Shape evolution of the stimulation artefact along the electrode¶In this notebook, we analyse how the shape of the artefact changes when the distrance from the recording site to the stimulation site increases. In [3]: %matplotlib inline import matplotlib import numpy as np import pandas …

Download the notebook : stimic_artefact_carac.py Caracterization of the stimulation artefact¶ In [1]: %matplotlib inline import mne import pandas as pd import numpy as np import matplotlib.pyplot as plt import sys import seaborn as sns sys.path.append('../stimic_main/') import utils_stimic import utils_eeg_cleaning from stim_analysis_fun import * sns.set() sns.set_context …

Download the notebook : stimic_stim_count.py Count Stim¶This notebook show how to count the number of stimulations in function of the different stimulation paremeters from the Stimulation Event File In [1]: %matplotlib inline import matplotlib import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn …

Detection Algorithm Details 1 Hz Stimulation For 1Hz stimulation we count the number of peaks if the threshold signal in the window [-0.1s, 10.1s] around each time of threshold crossing. If the number of peaks if equal to 10 more or less, the event is considered a 1Hz …

This article describes the procedure used for listing all the stimulations events through a semi-automated pipeline. The details of the detection algorithm can be found here Artifact Detection in macro-electrodes Description Goal : Detect (semi)-automatically stimulation artifacts on the macro-signals. Detection output must give the onset time of the stim …

The StiMiC project aims at investigating the effect of electrical stimulations using depth electrode in epilectic drug refractory patients. Stimulation Event List and Epoch creation The first step fot the Stimic project is to list all the stimulations, their localization, the electrical parameters, and associate each stimulation with its potential …