Daniel McCaffrey
Samsung
5 Papers
1 Citations
Daniel McCaffrey is an academic researcher from Samsung. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 3, co-authored 4 publications.
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Papers
Listen2Cough: Leveraging End-to-End Deep Learning Cough Detection Model to Enhance Lung Health Assessment Using Passively Sensed Audio
Xuhai Xu,Ebrahim Nemati,Korosh Vatanparvar,Viswam Nathan,Tousif Ahmed,Mahbubur Rahman,Daniel McCaffrey,Jilong Kuang,Jun Alex Gao +8 more
- 29 Mar 2021
TL;DR: In this paper, an end-to-end deep learning architecture using public cough sound datasets was proposed to detect coughs within raw audio recordings. But due to limited lung health data, the authors have difficulty in collecting both cough sounds and lung health condition ground truth.
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Automated Time Synchronization of Cough Events from Multimodal Sensors in Mobile Devices
Tousif Ahmed,Mohsin Y. Ahmed,Mahbubur Rahman,Ebrahim Nemati,Bashima Islam,Korosh Vatanparvar,Viswam Nathan,Daniel McCaffrey,Jilong Kuang,Jun Alex Gao +9 more
- 21 Oct 2020
TL;DR: The time synchronization challenges of cough synchronization are demonstrated based on the cough data collected from two studies and the performance of a cross-correlation based time synchronization algorithm on the alignment of cough events is highlighted.
BreathEasy: Assessing Respiratory Diseases Using Mobile Multimodal Sensors
Mahbubur Rahman,Mohsin Y. Ahmed,Tousif Ahmed,Bashima Islam,Viswam Nathan,Korosh Vatanparvar,Ebrahim Nemati,Daniel McCaffrey,Jilong Kuang,Jun Alex Gao +9 more
- 21 Oct 2020
TL;DR: The feasibility of using multimodal sensors embedded in consumer mobile devices for non-invasive, low-effort respiratory assessment towards making it available anywhere, anytime through users' own mobile devices is shown.
Detecting Physiological Responses Using Multimodal Earbud Sensors
Mahbubur Rahman,Xuhai Xu,Viswam Nathan,Tousif Ahmed,Mohsin Y. Ahmed,Daniel McCaffrey,Jilong Kuang,Trevor Cowell,Julia Moore,Wendy Berry Mendes,Jun Alex Gao +10 more
- 01 Jul 2022
TL;DR: The feasibility of using earbuds for passively monitoring users' physiological responses through passive measurement of photoplethysmography, core body temperature, and inertial measurements is demonstrated.