Efficient and Explainable Deep Neural Networks for Airway Symptom Detection in Support of Wearable Health Technology

Author:

Groh René1ORCID,Lei Zhengdong2,Martignetti Lisa2ORCID,Li-Jessen Nicole Y. K.234ORCID,Kist Andreas M.1ORCID

Affiliation:

1. Department Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Werner-von-Siemens-Straße 61 91052 Erlangen Germany

2. School of Communication Sciences & Disorders McGill University Canada 2001 McGill College 8th floor Montreal Quebec H3A 1G1 Canada

3. Department of Otolaryngology-Head & Neck Surgery McGill University Montreal H3A 1G1 Canada

4. Department of Biomedical Engineering McGill University Montreal, Canada 2001 McGill College, 8th floor Montreal Quebec H3A 1G1 Canada

Funder

Canadian Institutes of Health Research

Centre for Research on Brain, Language and Music

Canada Research Chairs

Publisher

Wiley

Subject

General Medicine

Reference53 articles.

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2. E.Nemati M. M.Rahman V.Nathan K.Vatanparvar J.Kuang in2019 IEEE/ACM Int. Conf. on Connected Health: Applications Systems and Engineering Technologies (CHASE) IEEE Piscataway NJ2019 pp.15–16.

3. C.Infante D.Chamberlain R.Fletcher Y.Thorat R.Kodgule in2017 IEEE Global Humanitarian Technology Conf. (GHTC) IEEE Piscataway NJ2017 pp.1–10.

4. B. W.Schuller H.Coppock A.Gaskell arXiv preprint arXiv:2012.145532020.

5. P.Kadambi A.Mohanty H.Ren J.Smith K.McGuinnes K.Holt A.Furtwaengler R.Slepetys Z.Yang J.‐S.Seo J.Chae Y.Cao V.Berisha in2018 IEEE Int. Conf. on Acoustics Speech and Signal Processing (ICASSP) IEEE Piscataway NJ2018 pp.2161–2165.

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