e-journal

Objective Study of Sensor Relevance for Automatic Cough Detection

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Abstract—Thedevelopmentofasystemfortheautomatic,objective, and reliable detection of cough events is a need underlined by the medical literature for years. The benefit of such a tool is clear as it would allow the assessment of pathology severity in chronic cough diseases. Even though some approaches have recently reportedsolutionsachievingthistaskwitharelativesuccess,thereis stillnostandardizationaboutthemethodtoadoptorthesensorsto use. The goal of this paper is to study objectively the performance ofseveralsensorsforcoughdetection:ECG,thermistor,chestbelt, accelerometer, contact, and audio microphones. Experiments are carried out on a database of 32 healthy subjects producing, in a confined room and in three situations, voluntary cough at various volumesaswellasothereventcategorieswhichcanpossiblyleadto somedetectionerrors:backgroundnoise,forcedexpiration,throat clearing, speech, and laugh. The relevance of each sensor is evaluated at three stages: mutual information conveyed by the features, ability to discriminate at the frame level cough from these latter other sources of ambiguity, and ability to detect cough events. In thislatterexperiment,withbothanaveragedsensitivityandspecificity of about 94.5%, the proposed approach is shown to clearly outperform the commercial Karmelsonix system which achieved a specificity of 95.3% and a sensitivity of 64.9%.

Index Terms—Audio processing, biomedical engineering, cough detection, cystic fibrosis, multimodal, neural network, sensor.

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013

Deskripsi Fisik

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 699-707

Bahasa

English

ISBN/ISSN

2168-2194

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

KEDOKTERAN-ALAT DAN PERLENGKAPAN
TEKNOLOGI KEDOKTERAN

Info Detail Spesifik

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Pernyataan Tanggungjawab

Thomas Drugman ... [et al.]

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