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Tousif Ahmed

4 accepted papers

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

Mouth Breathing Detection Using Audio Captured Through Earbuds

ICASSP 2023accepted

Mouth breathing has been linked to a variety of negative health outcomes, including sleep-related disorders and dental problems. Detecting mouth breathing in the daily environment could be helpful for early intervention and reversing the negative impact. However, existing research has not adequately…

Cited by 0SourceScholar
2022

Coughtrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-Efficient Sensitivity-Prioritized Time Series Classifier

ICASSP 2022accepted

Persistent coughs are a major symptom of respiratory-related diseases. Increasing research attention has been paid to detecting coughs using wearables, especially during the COVID-19 pandemic. Microphone is most widely used sensor to detect coughs. However, the intense power consumption needed to pr…

Cited by 0SourceScholar
2022

Ubilung: Multi-Modal Passive-Based Lung Health Assessment

ICASSP 2022accepted

Lung health assessment is traditionally done mainly through X-ray images and spirometry tests which are time-consuming, cumbersome, and costly. In this paper, we investigate the potential of passively recordable contents such as speech, cough and heart signal for such an assessment. Our regression m…

Cited by 0SourceScholar