Publications by authors named "Jeffrey Barahona"
Adolescent Asthma Monitoring: A Preliminary Study of Audio and Spirometry Modalities.
Annu Int Conf IEEE Eng Med Biol Soc
July 2023
Asthma patients' sleep quality is correlated with how well their asthma symptoms are controlled. In this paper, deep learning techniques are explored to improve forecasting of forced expiratory volume in one second (FEV1) by using audio data from participants and test whether auditory sleep disturbances are correlated with poorer asthma outcomes. These are applied to a representative data set of FEV1 collected from a commercially available sprirometer and audio spectrograms collected overnight using a smartphone.
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- - Cough serves as a crucial defense mechanism for the respiratory system and can indicate lung diseases like asthma; detecting cough sounds with portable devices helps monitor asthma conditions but often struggles with real-world sound variability.
- - Current cough detection models are limited by their training on clean data, leading to poor performance when faced with Out-of-Distribution (OOD) sounds that weren't included in their training set.
- - This study introduces two cough detection methods that effectively integrate an OOD detection module, enhancing overall accuracy, especially as the ratio of OOD sounds increases and at higher sampling rates, thereby improving real-world cough detection capabilities.
Toward Automated Analysis of Fetal Phonocardiograms: Comparing Heartbeat Detection from Fetal Doppler and Digital Stethoscope Signals.
Annu Int Conf IEEE Eng Med Biol Soc
November 2021
Longitudinal fetal health monitoring is essential for high-risk pregnancies. Heart rate and heart rate variability are prime indicators of fetal health. In this work, we implemented two neural network architectures for heartbeat detection on a set of fetal phonocardiogram signals captured using fetal Doppler and a digital stethoscope.
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