An automatic animal pain analysis system based on video timing analysis
By using a multi-channel video acquisition and spatiotemporal feature extraction unit and a temporal behavior analysis model, combined with systematic data management, the problems of large human observation errors and inconsistent data management in formalin-induced pain testing experiments have been solved, realizing accurate automatic analysis and standardized data management of formalin-induced pain testing experiments.
CN122244755APending Publication Date: 2026-06-19SHANGHAI XINRUAN INFORMATION TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI XINRUAN INFORMATION TECH CO LTD
- Filing Date
- 2026-03-16
- Publication Date
- 2026-06-19
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Figure CN122244755A_ABST
Abstract
This invention relates to an automated animal pain analysis system based on video temporal analysis, specifically designed for formalin-induced pain experiments, belonging to the interdisciplinary field of pharmacology and computer vision. The system includes: a multi-channel video acquisition and spatiotemporal feature extraction unit, a pain behavior recognition and quantification unit, and a systematic data management and control unit. The acquisition unit extracts motion and contact features from simultaneously acquired multi-channel foot videos using a spatiotemporal attention convolutional architecture; the recognition and quantification unit uses a temporal behavior analysis model to automatically identify and quantify licking, biting, and foot-lifting events based on the temporal evolution of features, and divides the pain response into acute and delayed phases based on event statistical characteristics; the data management and control unit is responsible for associating and storing data at all levels, executing standardized processes, outputting structured reports, and supporting remote access. This invention achieves full-process automation, objectification, and high-throughput quantification of pain behavior analysis.
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