Abstract

Persistent cough is a symptom common to a number of respiratory disorders; however, reliable monitoring of cough frequency and cough severity over an extended period of time can be a challenge. Traditional methods involve subjective evaluation by care providers or patient self-reports. As an alternative, we propose an objective method for monitoring cough using a wearable microphone. We collected 24-hour audio recordings from 9 patients suffering from chronic obstructive pulmonary disease, asthma, and lung cancer using the VitaloJAK wearable microphone. Trained professionals carefully listened to each audio stream and manually labeled each cough event. Using this data, we propose a new neural-network-based cough detection scheme. A pre-processing algorithm is used to estimate the start and end of each cough and the deep neural network is trained using each cough instance. Experiments demonstrate an average leave-one-participant-out cross-validation specificity and sensitivity of 93.7% and 97.6% respectively.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2161-2165
Number of pages5
Volume2018-April
ISBN (Print)9781538646588
DOIs
StatePublished - Sep 10 2018
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
Duration: Apr 15 2018Apr 20 2018

Other

Other2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
CountryCanada
CityCalgary
Period4/15/184/20/18

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Keywords

  • Audio processing
  • Cough detection
  • Deep learning
  • Mobile health sensing
  • Respiratory disease

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Kadambi, P., Mohanty, A., Ren, H., Smith, J., McGuinnes, K., Holt, K., Furtwaengler, A., Slepetys, R., Yang, Z., Seo, J., Chae, J., Cao, Y., & Berisha, V. (2018). Towards a Wearable Cough Detector Based on Neural Networks. In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings (Vol. 2018-April, pp. 2161-2165). [8461394] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2018.8461394