mLung++: automated characterization of abnormal lung sounds in pulmonary patients using multimodal mobile sensors

Soujanya Chatterjee, Md Mahbubur Rahman, Ebrahim Nemati, Viswam Nathan, Korosh Vatanparvar, Jilong Kuang. mLung++: automated characterization of abnormal lung sounds in pulmonary patients using multimodal mobile sensors. In Robert Harle, Katayoun Farrahi, Nicholas Lane, editors, Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019. pages 474-481, ACM, 2019. [doi]

Abstract

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