Information Systems Department, University of Haifa, Haifa, Israel.
Faculty of Electrical Engineering, Technion, Israel Institute of Technology, Haifa, Israel.
Sci Rep. 2023 Sep 6;13(1):14679. doi: 10.1038/s41598-023-41774-2.
Despite the wide range of uses of rabbits (Oryctolagus cuniculus) as experimental models for pain, as well as their increasing popularity as pets, pain assessment in rabbits is understudied. This study is the first to address automated detection of acute postoperative pain in rabbits. Using a dataset of video footage of n = 28 rabbits before (no pain) and after surgery (pain), we present an AI model for pain recognition using both the facial area and the body posture and reaching accuracy of above 87%. We apply a combination of 1 sec interval sampling with the Grayscale Short-Term stacking (GrayST) to incorporate temporal information for video classification at frame level and a frame selection technique to better exploit the availability of video data.
尽管兔子（Oryctolagus cuniculus）被广泛用作疼痛的实验模型，而且它们作为宠物越来越受欢迎，但兔子的疼痛评估研究还很缺乏。本研究首次提出了一种自动检测兔子急性术后疼痛的方法。我们使用了一组 n = 28 只兔子的视频片段数据集，这些兔子在手术前（无疼痛）和手术后（疼痛）的面部和身体姿势，提出了一种使用面部区域和身体姿势进行疼痛识别的 AI 模型，准确率超过 87%。我们采用 1 秒间隔采样和灰度短期堆叠（GrayST）的组合，将时间信息纳入视频分类的帧级，并采用帧选择技术，更好地利用视频数据的可用性。
