Lung Function Estimation from a Monosyllabic Voice Segment Captured Using Smartphones
Author:
Affiliation:
1. University of Memphis, USA
2. Samsung Research America Inc., USA
3. Brigham and Women's Hospital, United States
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3379503.3403543
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2. Soujanya Chatterjee Md Mahbubur Rahman Tousif Ahmed Nazir Saleheen Ebrahim Nemati Viswam Nathan Korosh Vatanparvar and Jilong Kuang. 2020. Assessing Severity of Pulmonary Obstruction from Respiration Phase-Based Wheeze-Sensing Using Mobile Sensors(CHI ’20). Association for Computing Machinery New York NY USA 1–13. https://doi.org/10.1145/3313831.3376444 Soujanya Chatterjee Md Mahbubur Rahman Tousif Ahmed Nazir Saleheen Ebrahim Nemati Viswam Nathan Korosh Vatanparvar and Jilong Kuang. 2020. Assessing Severity of Pulmonary Obstruction from Respiration Phase-Based Wheeze-Sensing Using Mobile Sensors(CHI ’20). Association for Computing Machinery New York NY USA 1–13. https://doi.org/10.1145/3313831.3376444
3. Predicting Pulmonary Function from Phone Sensors
4. Towards Passive Assessment of Pulmonary Function from Natural Speech Recorded Using a Mobile Phone
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