Mohammed Mosuily

ORCID: 0009-0003-6563-7440
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About
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Research Areas
  • Acoustic Wave Phenomena Research
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Asthma and respiratory diseases
  • Respiratory viral infections research

University of Southampton
2023

Respiratory audio, such as coughing and breathing sounds, has predictive power for a wide range of healthcare applications, yet is currently under-explored. The main problem those applications arises from the difficulty in collecting large labeled task-specific data model development. Generalizable respiratory acoustic foundation models pretrained with unlabeled would offer appealing advantages possibly unlock this impasse. However, given safety-critical nature it pivotal to also ensure...

10.48550/arxiv.2406.16148 preprint EN arXiv (Cornell University) 2024-06-23

Long-term respiratory illnesses like Chronic Obstructive Pulmonary Disease (COPD) and Asthma are commonly diagnosed with the gold standard spirometry, which is a lung health test that requires specialized equipment trained healthcare experts, making it expensive difficult to scale.Moreover, blowing into spirometer can be quite hard for people suffering from pulmonary illnesses.To solve aforementioned limitations, we introduce MMLung, an approach leverages information obtained multiple audio...

10.21437/interspeech.2023-721 article EN Interspeech 2022 2023-08-14
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