Basically, there are some differences at the beginning/end of each condition for the non-EMG data, which is why the code to replicate Figure 6 looks slightly different from its counterpart in our ...

A deep-learning model achieved significantly higher accuracy and F1-scores for both Cognitive Abilities Screening Instrument and Digit Symbol Coding Test. A deep-learning model vs a comparison ...

If you use the miniconda or anaconda, the path will be like D:/miniconda3/envs/misleep/Lib/site-packages. See https://bryanwang.cn/MiSleep/ for a simple documentation ...

This protocol also described the application of ground and reference electrodes, chin electromyogram (EMG; electrical activity of muscles ... EEG Methods and Procedures The EEG procedure and methods ...

Usually, the macrostructure of sleep is depicted by a hypnogram, which is determined by scoring three EEG (frontal, central, and occipital), two EOG and one chin EMG derivation. However, a single ...

Sleep efficiency is calculated by the ratio of sleep stages. Sleep stages can be classified using Polysomnogram (PSG), which includes information of EEG, EMG and EOG. There have been many studies to ...

The coupling strength between electroencephalogram (EEG) and electromyography (EMG) signals during motion control reflects the interaction between ... To address the above shortcomings, a variable ...