this post was submitted on 11 Sep 2024
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Danger Dust

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Researchers at the Georgia Institute of Technology have developed a deep learning (DL) model that they paired with a wearable patch equipped with a highly sensitive sensor that can automatically detect wheezing sounds. The deep learning model has the potential to classify respiratory diseases, which could speed up their diagnosis and treatment.

An Accelerometer-Based Wearable Patch for Robust Respiratory Rate and Wheeze Detection Using Deep Learning

https://www.mdpi.com/2079-6374/14/3/118

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