UM File # 4583

Background
In behavioral neuroscience research involving sleep, there is a need for automated state scoring to correctly identify how the experimental manipulations impact the state of the animal, including humans. Manual state scoring of physiological recordings in sleep studies is time-consuming, resulting in a data backlog, research delays and increased personnel costs.

Technology Description
Researchers at University of Michigan have developed MATLAB-based software to allow manual scoring of sleep and waking states in blocks of time. The program's graphical user interface allows the user to view amplitudes over time for a variety of electrophysiological signals. The default signals are EEG and EMG,which are most commonly used signals for scoring sleep and waking states.

Applications
• Behavioral neuroscience research involving sleep

Advantages
• Score data from a variety of hardware recording systems
• Customized output

File Number: 4583