Leveraging DWT and Deep Learning to Enhance Lung Auscultation

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Authors

Upasana Tiwari, Researcher, TCS Research
Swapnil Bhosale, Researcher, TCS Research
Rupayan Chakraborty, Senior Scientist, TCS Research
Sunil Kumar Kopparapu, Principal Scientist, TCS Research

Highlights

Deep lung auscultation using acoustic biomarkers for abnormal respiratory sound event detection.
Discrete wavelet transform and audio event detection model are used for automatic respiratory sound event detection.
The approach is evaluated against international benchmark and the results show that our system clearly outperforms the state of the art with a significant margin.

My paper in 2 minutes

Deep lung auscultation using acoustic biomarkers

_{Deep lung auscultation using acoustic biomarkers (extracted using discrete wavelet transform and deep-encoded features from a pre-trained audio event detection model) for abnormal respiratory sound event detection.}

Lung auscultation is a non-invasive process of distinguishing normal respiratory sounds from abnormal ones by analyzing the airflow along the respiratory tract. With developments in deep learning and wider access to anonymized data, automatic detection of specific sounds such as crackles and wheezes have been gaining popularity. We propose to use two sets of diversified acoustic biomarkers extracted using discrete wavelet transform (DWT) and deep-encoded features from the intermediate layer of a pre-trained audio event detection (AED) model, trained using sounds from daily activities.

The first set of biomarkers highlight the time frequency localization characteristics obtained from DWT coefficients; whereas, the second set of deep encoded biomarkers captures a generalized reliable representation, and thus indemnifies the scarcity of training samples and the class imbalance in dataset. Furthermore, the ensemble of DWT based time-frequency localization and generic device agnostic deep embedding resulted into complimenting each other. We evaluated our approach on [International Conference on Biomedical Health Informatics] ICBHI-2017 Challenge dataset. The results shows that our system clearly outperforms the state of the art with a significant margin.

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TCS works hand in hand with world-leading investors.

Lung auscultation using acoustic biomarkers

What We Do

Authors

Highlights

My paper in 2 minutes

Deep lung auscultation using acoustic biomarkers

TCS is here to make a difference through technology.

We’re in it for good, driving positive change for the benefit of all.

Extraordinary expertise leads to remarkable results.

Want to be a global change-maker? Join our team.

Find the latest news about TCS in our Newsroom

Recent Press releases

Recent News

Recent recognitions

Upcoming events

TCS works hand in hand with world-leading investors.

What We Do

Authors

Highlights

My paper in 2 minutes

Deep lung auscultation using acoustic biomarkers

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