Improved Detection of Lung Fluid With Standardized Acoustic Stimulation of the Chest

Adam Rao; Simon Chu; Neil Batlivala; Samuel Zetumer; Shuvo Roy

doi:10.1109/JTEHM.2018.2863366

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Improved Detection of Lung Fluid With Standardized Acoustic Stimulation of the Chest

Journal article

Open access

Peer reviewed

Improved Detection of Lung Fluid With Standardized Acoustic Stimulation of the Chest

Adam Rao, Simon Chu, Neil Batlivala, Samuel Zetumer and Shuvo Roy

IEEE journal of translational engineering in health and medicine, Vol.6, pp.1-7

01/01/2018

DOI: 10.1109/JTEHM.2018.2863366

PMCID: PMC6168182

PMID: 30310761

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Abstract

Accumulation of excess air and water in the lungs leads to breakdown of respiratory function and is a common cause of patient hospitalization. Compact and non-invasive methods to detect the changes in lung fluid accumulation can allow physicians to assess patients' respiratory conditions. In this paper, an acoustic transducer and a digital stethoscope system are proposed as a targeted solution for this clinical need. Alterations in the structure of the lungs lead to measurable changes which can be used to assess lung pathology. We standardize this procedure by sending a controlled signal through the lungs of six healthy subjects and six patients with lung disease. We extract mel-frequency cepstral coefficients and spectroid audio features, commonly used in classification for music retrieval, to characterize subjects as healthy or diseased. Using the K-nearest neighbors algorithm, we demonstrate 91.7% accuracy in distinguishing between healthy subjects and patients with lung pathology.

Acoustic sensors

Acoustics

actuators

biomedical acoustics

Chirp

classification algorithms

Diseases

Feature extraction

Lung

Pathology

Stethoscope

transfer function

Details

Title: Subtitle: Improved Detection of Lung Fluid With Standardized Acoustic Stimulation of the Chest
Creators: Adam Rao - University of California, San Francisco
Simon Chu - University of California, San Francisco
Neil Batlivala - Consultant
Samuel Zetumer - University of California, San Francisco
Shuvo Roy - University of California, San Francisco
Resource Type: Journal article
Publication Details: IEEE journal of translational engineering in health and medicine, Vol.6, pp.1-7
Publisher: IEEE
DOI: 10.1109/JTEHM.2018.2863366
PMID: 30310761
PMCID: PMC6168182
ISSN: 2168-2372
eISSN: 2168-2372
Grant note: P50FD003793 / Pediatric Device Consortium FDA Grant Program Pilot Funding from the Big Ideas at Berkeley 1F30HL140906 / NIH Ruth L. Kirschstein Fellowship (F30)
Language: English
Date published: 01/01/2018
Academic Unit: Internal Medicine
Record Identifier: 9984695685002771

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