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Updated: Feb 20, 2026
Focal Cerebral Ischemia Model by Endovascular Suture Occlusion of the Middle Cerebral Artery in the Rat
Published on: February 5, 2011
A new infarction detection method based on heart rate variability in rat middle cerebral artery occlusion model
Objective:
The present study proposes a cerebral infarction detection algorithm based on heart rate variability (HRV).
Methods:
It has been reported that infarction affects HRV. Therefore, infarction could be detected at an acute stage by monitoring HRV. This study uses multivariate statistical process control (MSPC), which is a well-known anomaly monitoring method. HRV data shortly after infarction onsets are collected by using the middle cerebral artery occlusion (MCAO) model in rats. This study prepares 11 MCAO-operated rats and 11 sham-operated rats. Three sham-operated rats' data are used for model construction of MSPC, and the other 19 rats' data are used for its validation.
Results:
The sensitivity and specificity of the proposed algorithm were 82 % and 75 %, respectively.
Conclusion:
An infarction onset could be detected at an acute stage by monitoring HRV.
