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Artificial Intelligence for Detecting COVID-19 With the Aid of Human Cough, Breathing and Speech Signals: Scoping Review
IEEE Open Journal of Engineering in Medicine and Biology ( IF 2.7 ) Pub Date : 2022-02-14 , DOI: 10.1109/ojemb.2022.3143688 Mouzzam Husain 1 , Andrew Simpkin 2 , Claire Gibbons 1 , Tanya Talkar 3, 4 , Daniel Low 4, 5 , Paolo Bonato 6 , Satrajit S Ghosh 4, 5 , Thomas Quatieri 3, 4 , Derek T O'Keeffe 1, 7
IEEE Open Journal of Engineering in Medicine and Biology ( IF 2.7 ) Pub Date : 2022-02-14 , DOI: 10.1109/ojemb.2022.3143688 Mouzzam Husain 1 , Andrew Simpkin 2 , Claire Gibbons 1 , Tanya Talkar 3, 4 , Daniel Low 4, 5 , Paolo Bonato 6 , Satrajit S Ghosh 4, 5 , Thomas Quatieri 3, 4 , Derek T O'Keeffe 1, 7
Affiliation
The application of advanced signal processing and machine learning techniques to analyze cough, breathing, and speech samples shows promise to provide an effective means to detect COVID-19 and other diseases affecting the respiratory tract.
中文翻译:
人工智能借助人类咳嗽、呼吸和语音信号检测 COVID-19:范围界定审查
应用先进的信号处理和机器学习技术来分析咳嗽、呼吸和语音样本有望提供一种有效的手段来检测 COVID-19 和其他影响呼吸道的疾病。
更新日期:2022-02-14
中文翻译:
人工智能借助人类咳嗽、呼吸和语音信号检测 COVID-19:范围界定审查
应用先进的信号处理和机器学习技术来分析咳嗽、呼吸和语音样本有望提供一种有效的手段来检测 COVID-19 和其他影响呼吸道的疾病。