Deep Learning Assessment Method for Postoperative Pain Based on Facial Video Data

Abstract

In recent years, many scholars at home and abroad have applied deep learning methods to automated pain recognition, but these methods are mostly based on discrete data, and the reliability of the evaluation results is low, making it difficult for doctors to accurately judge the disease. This paper conducts an automated pain assessment study based on continuous postoperative facial video data. First, the principle of deep learning network for pain recognition is introduced, and a computing platform based on deep learning is built. Then, based on the video data in the public pain recognition database, a deep learning-based pain recognition experiment was conducted. Finally, the experimental results of pain recognition are analyzed, which confirms the feasibility and effectiveness of the deep learning pain assessment method based on facial video data. This paper applies deep learning to pain assessment based on facial video data, which helps to assess patient pain more accurately and quickly.