We have located links that may give you full text access.
Non-contact automatic respiration monitoring in restrained rodents.
Prairie voles are socially monogamous rodents that form social bonds similar to those seen in primates. Social behavior investigation in these species, that include studying their breathing regulation, can provide us with an invaluable psychological model to understand social and emotional functions in both animals and humans. There have been several studies associated with the respiratory pattern of these species in the state of fear-induced defense. However, non-invasive measurement methods employed so far suffer from the lack of a natural experiment environment for the rodents. In this paper, we present a remote depth-based system, which applies a modified autocorrelation algorithm to automatically extract respiration patterns in small rodents. We evaluated our estimation accuracy through a series of experiments and comparing the extracted results with breathing rates obtained from visual inspection of synchronously collected RGB videos. In a preliminary test on a human participant, breathing rate was estimated with 100% accuracy, while the estimation accuracy was 94.8% for a restrained vole. Finally, we monitored the respiratory alternations of three voles in transition from a baseline, to a fearful state, and back to a normal state; the estimated breathing rates confirmed the existing hypothesis regarding animal defense strategies.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app