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Jun Alex Gao

4 accepted papers

2024

Ballistocardiogram-Based Heart Rate Variability Estimation for Stress Monitoring using Consumer Earbuds

ICASSP 2024accepted

Stress can potentially have detrimental effects on both physical and mental well-being, but monitoring it can be challenging, especially in free-living conditions. One approach to address this challenge is to use earbud accelerometers to capture the ballistocardiogram (BCG) response. These sensors a…

Cited by 0SourceScholar
2024

Heart Rate Variability Estimation with Dynamic Fine Filtering and Global-Local Context Outlier Removal

ICASSP 2024accepted

Consumer hearable technologies such as earbuds are increasingly embedding physiological sensors, including photoplethysmography (PPG) and inertial measurements. They create unique opportunities to passively monitor stress and deliver digital interventions such as music. However, PPG signals recorded…

Cited by 0SourceScholar
2023

BreathIE: Estimating Breathing Inhale Exhale Ratio Using Motion Sensor Data from Consumer Earbuds

ICASSP 2023accepted

Breathing Inhale/Exhale (IE) ratio is one of the critical breathing biomarkers for pulmonary patients and healthy individuals. It can indicate the severity of lung obstruction for chronic lung patients and help detect psycho-social stress for healthy individuals. With the advancement of wearable tec…

Cited by 0SourceScholar
2023

Improving Heart Rate and Heart Rate Variability Estimation from Video Through a HR-RR-Tuned Filter

ICASSP 2023accepted

This paper presents algorithms to improve the estimation of heart rate (HR) and heart rate variability (HRV) from smartphone video. The remote photoplethysmogram (rPPG) signals are first extracted from the videos recorded. Next, we proposed an rPPG filter adaptively tuned by HR and respiratory rate…

Cited by 0SourceScholar