Abstract


 
 
 Pain is a dynamic and subjective experience that can be difficult to measure. Automated clinical pain assessment method offers a lot of potential, and they're not widely employed in medical practice presently. There is now an a need for a comprehensive and precise method to identify acute pain among intensive care units in order to assist professionals in dispensing pain relievers at the proper dosage and on time. We review and discuss autonomous pain identification algorithms in this article also provide an introduction of pain processes and reactions, as well as a discussion of commonly used clinical pain assessment techniques and shared datasets.
 
 

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