4/18/2023 0 Comments Muscle artifact meaningNow my starts are stored in the list (different from that above) and my durations are all. MUSCLE ARTIFACT Types Glossokinetic (chew/swallow i Photomyogenic (photomyoclonic) Surface electromyography I scalp/facial muscle) Descriptions Movement. for artifact-robust (ocular and muscle artifacts) feature. If I’m interested in ocular artifacts, I would use mn.preprocessing.find_eog_events along with the directions at Overview of artifact detection - MNE 0.23.4 documentation. Extracted feature vectors based on root mean square, polynomial fitting and Hjorth descriptors. What do the values 144 and 164 in order represent? Is there a way to choose a reasonable threshold_muscle value using the zscore - Muscle Activity graph? For example, could I take the mean of the values on the graph plus one or two standard deviations? My starts and durations are stored in the lists Raw.plot(start=5, duration=20, order=order) This disturbing myogenic activity not only strongly affects the. I can detect muscular artifacts using the documentation described at Annotate muscle artifacts - MNE 0.23.4 documentation threshold_muscle = 5Īnnot_muscle, scores_muscle = annotate_muscle_zscore(raw, ch_type="eeg", threshold=threshold_muscle, min_length_good=0.2,filter_freq=) Electroencephalographic (EEG) recordings are often contaminated with muscle artifacts. ![]() My raw data comes from surface electrodes and I’ve performed notch filtering to remove line noise from my raw file. I’m trying to learn more about detecting various types of artifacts.
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