  This study developed an improved dog heart rate and blood oxygen sensor
system using Arduino. Traditional methods face accuracy and reliability issues.
Our system integrates advanced computational techniques with hardware-based
sensing to enhance measurement precision. An Arduino microcontroller connected
to a heart rate and blood oxygen sensor collects raw data, which is
preprocessed and filtered to remove noise. Experimental plans include long-term
monitoring of multiple dogs and comparative analysis with traditional methods
to validate the system's effectiveness, aiming for widespread use in the home
or veterinary clinics. Additionally, the system offers dog owners the
possibility to interact with their virtual dogs in the metaverse using AR/VR,
allowing them to better understand their real dogs' health conditions by
observing their virtual health status.
