Upload EEG data to classify signals as Normal or Abnormal
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EEG Cls is an AI-powered tool designed for medical imaging and neuroscience applications. Its primary function is to analyze electroencephalogram (EEG) data to classify signals as either Normal or Abnormal. This tool is particularly useful for clinicians and researchers who need to interpret EEG recordings efficiently and accurately. By leveraging advanced machine learning algorithms, EEG Cls provides a reliable and automated solution for detecting abnormalities in brain activity.
1. What formats does EEG Cls support?
EEG Cls supports standard EEG file formats, including EDF, CSV, and MAT.
2. Can EEG Cls be used for real-time monitoring?
Yes, EEG Cls offers real-time analysis capabilities, making it suitable for continuous monitoring applications.
3. How accurate is EEG Cls in classifying signals?
EEG Cls achieves high accuracy rates (>90%) in classifying Normal vs. Abnormal signals, thanks to its advanced AI algorithms.