Computer-aided diagnosis of neural diseases from EEG signals (or other physiological signals that can be treated as time series, e.g., MEG) is an emerging field that has gained much attention in past years. Extracting features is a key component in the analysis of EEG signals. In our previous works, we have implemented many EEG feature extraction functions in the Python programming language. As Python is gaining more ground in scientific computing, an open source Python module for extracting EEG features has the potential to save much time for computational neuroscientists. In this paper, we introduce PyEEG, an open source Python module for EEG feature extraction
NeuroKit2 is an open-source, community-driven, and user-centered Python package for neurophysiologic...
This paper focuses on electroencephalograms (EEG) - the main tools in diagnosis and treatment of spe...
International audienceIn this chapter, we present the main characteristics of electroencephalography...
Electroencephalography (EEG) signals analysis is non-trivial, thus tools for helping in this task ar...
This is an EEG pipeline for resting and task EEG pre-processing and analyses used at the UniSC's Tho...
Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals g...
The Python programming language is steadily increasing in popularity as the language of choice for s...
The Python programming language is steadily increasing in popularity as the language of choice for s...
International audienceKeywords: Magnetoencephalography (MEG) Electroencephalography (EEG) Electrophy...
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and ...
Research on brain–computer interfaces (BCIs) has become more democratic in recent decades, and exper...
In neuroscience large amounts of data are recorded to provide insights into cerebral information pro...
NeuroKit2 is an open-source, community-driven, and user-centered Python package for neurophysiologic...
This paper focuses on electroencephalograms (EEG) - the main tools in diagnosis and treatment of spe...
International audienceIn this chapter, we present the main characteristics of electroencephalography...
Electroencephalography (EEG) signals analysis is non-trivial, thus tools for helping in this task ar...
This is an EEG pipeline for resting and task EEG pre-processing and analyses used at the UniSC's Tho...
Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals g...
The Python programming language is steadily increasing in popularity as the language of choice for s...
The Python programming language is steadily increasing in popularity as the language of choice for s...
International audienceKeywords: Magnetoencephalography (MEG) Electroencephalography (EEG) Electrophy...
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and ...
Research on brain–computer interfaces (BCIs) has become more democratic in recent decades, and exper...
In neuroscience large amounts of data are recorded to provide insights into cerebral information pro...
NeuroKit2 is an open-source, community-driven, and user-centered Python package for neurophysiologic...
This paper focuses on electroencephalograms (EEG) - the main tools in diagnosis and treatment of spe...
International audienceIn this chapter, we present the main characteristics of electroencephalography...