Deep transfer learning for chronic obstructive pulmonary disease detection utilizing electrocardiogram signals

Disease Areas:
COPD
Device Types:
Alpha

This study examined the feasibility of using deep transfer learning frameworks to detect COPD based on ECG data. Included subjects (n=12) were classified as healthy or having COPD based on lung function data (FEV1, FVC, FEV1/FVC ratio), which was collected using a Vitalograph Alpha spirometer.

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