Sleep Research  

Setup Requirements and Technological Challenges 

A typical EEG setup for sleep studies includes several key components: 

EEG Sensors and Electrodes

Placed on the scalp to capture detailed information about different brain regions during sleep cycles.  

Signal Amplification

Amplifiers ensure that the low-frequency, low-amplitude EEG signals of sleep stages are accurately captured.  

Polysomnography (PSG)

Sleep studies often combine EEG with other physiological measures such as eye movements (EOG), muscle activity (EMG), heart rate (ECG), and repiration patterns to form a complete polysomnographic profile of the sleeping subject.  

Signal Processing and Sleep Stage Classification

EEG is critical for classifying sleep stages, which are generally divided into Non-Rapid Eye Movement (NREM) sleep and REM sleep, and additional subcategories. Each stage has characteristic EEG waveforms, such as alpha, theta, and delta waves.

While EEG is highly effective in sleep research, several technical challenges must be considered: 

Signal Artifacts

e.g from movement, environmental noise, and muscle activity. Advanced signal processing techniques are needed to ensure clean and interpretable data..  

Electrode Comfort and Sleep Quality

Amplifiers ensure that the low-frequency, low-amplitude EEG signals of sleep stages are accurately captured.  

Polysomnography (PSG)

Overnight recordings can be uncomfortable for participants, especially if natural movements are restricted by electrodes and wires. Balancing data quality with participant comfort is a key concern in sleep research. 

Long-term Data Collection

The reliability of the EEG equipment and the stability of electrode contact are crucial for long-term recordings.

Our Solutions 

Showcases and Publications