Aghermann is a sleep experiment management software designed for sleep research studies. It helps researchers manage and monitor sleep-related experiments with ease.
Aghermann is a software designed for managing sleep-research experiments, featuring powerful functionalities such as scoring, power spectra analysis, and visualization, as well as the modeling of sleep homeostat. The ultimate goal of Aghermann is to run Process S simulations on Slow-Wave Activity profiles from EEG recordings, as described in Achermann et al (1993), and produce a set of sleep homeostat parameters that can be used to differentiate individual sleepers based on their sleeping patterns.
One of the standout features of Aghermann is its ability to display EEG recordings, along with other accompanying recordings such as EOG and EMG, saved in EDF format files. These recordings can be conveniently scored, and scores can be easily imported/exported in plain ASCII format.
Aghermann organizes the recordings in a tree, following a commonly used experimental design in sleep research, where groups of subjects sleep for several (timed) episodes per session, with recordings from multiple channels. To ensure accuracy, the software allows per-second filtering of EEG signals for artifacts before the PSD analysis is performed on clean epochs. This greatly enhances the resulting spectral power profile. Power course profiles can also be obtained for an arbitrary frequency range.
To run Aghermann, users need to have certain required libraries, including GTK+ >= 2.12.x and libglade-2.6.2. Overall, Aghermann is a highly effective tool for sleep-research experiments, providing multiple functionalities to visualize, score, and analyze EEG recordings to understand individual sleep patterns.
One of the standout features of Aghermann is its ability to display EEG recordings, along with other accompanying recordings such as EOG and EMG, saved in EDF format files. These recordings can be conveniently scored, and scores can be easily imported/exported in plain ASCII format.
Aghermann organizes the recordings in a tree, following a commonly used experimental design in sleep research, where groups of subjects sleep for several (timed) episodes per session, with recordings from multiple channels. To ensure accuracy, the software allows per-second filtering of EEG signals for artifacts before the PSD analysis is performed on clean epochs. This greatly enhances the resulting spectral power profile. Power course profiles can also be obtained for an arbitrary frequency range.
To run Aghermann, users need to have certain required libraries, including GTK+ >= 2.12.x and libglade-2.6.2. Overall, Aghermann is a highly effective tool for sleep-research experiments, providing multiple functionalities to visualize, score, and analyze EEG recordings to understand individual sleep patterns.
What's New
Version 0.1: N/A