zhenyuanlu/PainAttnNet
Transformer Encoder with Multiscale Deep Learning for Pain Classification Using Physiological Signals
This project helps clinicians, researchers, and healthcare providers objectively assess pain intensity. It takes physiological signals (like heart rate or skin conductance) as input and outputs a classification of pain intensity. This is useful for anyone needing an unbiased, automated way to evaluate patient pain beyond subjective self-reports.
No commits in the last 6 months.
Use this if you need an automated, objective system to classify pain levels using physiological data to improve patient assessment and treatment plans.
Not ideal if you primarily rely on qualitative patient interviews or visual cues for pain assessment, or if you do not have access to physiological monitoring equipment.
Stars
26
Forks
1
Language
Python
License
MIT
Category
Last pushed
Dec 18, 2023
Commits (30d)
0
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