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High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning
- Source :
- JAMA Cardiology. 5:105
- Publication Year :
- 2020
- Publisher :
- American Medical Association (AMA), 2020.
-
Abstract
- This study uses video and a pretrained deep convolutional neural network to analyze facial photoplethysmographic signals in detection of atrial fibrillation.
- Subjects :
- Adult
Male
Video Recording
macromolecular substances
030204 cardiovascular system & hematology
Proof of Concept Study
Convolutional neural network
Electrocardiography
03 medical and health sciences
Deep Learning
0302 clinical medicine
Predictive Value of Tests
Atrial Fibrillation
Humans
Medicine
Computer vision
030212 general & internal medicine
Photoplethysmography
Throughput (business)
Aged
Aged, 80 and over
Video recording
Contact free
Artificial neural network
business.industry
Deep learning
Reproducibility of Results
Atrial fibrillation
Middle Aged
medicine.disease
Case-Control Studies
Face
Female
Neural Networks, Computer
Artificial intelligence
Cardiology and Cardiovascular Medicine
business
Subjects
Details
- ISSN :
- 23806583
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- JAMA Cardiology
- Accession number :
- edsair.doi.dedup.....1e31e40c310ad83a3f4fab59402eb88b
- Full Text :
- https://doi.org/10.1001/jamacardio.2019.4004