Publications by authors named "Seungkeon Lee"
Med Biol Eng Comput
October 2024
Article Synopsis
- Stress is connected to health issues, highlighting the need for effective, non-invasive monitoring techniques, as conventional methods can be uncomfortable and are limited in ultra-short-term stress assessments.
- This study introduces a novel approach to measure ultra-short-term stress using remote photoplethysmography (rPPG) that segments data based on normal-to-normal intervals (NNIs), which enhances stress predictions by addressing variations in heart rate.
- The findings show that using NNI counts significantly improves the accuracy of predicting stress indices compared to traditional time-segmented methods, with the Extra Trees Regressor yielding notably higher scores for various NNI intervals.
