Motion and noise artifact-resilient atrial fibrillation detection algorithm for a smartphone

• Published in: IEEE journal of biomedical and health informatics pp. 591 - 594
• Main Authors: Chong, Jo Woon, Cho, Chae Ho, Esa, Nada, McManus, David D., Chon, Ki H.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.02.2016
• Subjects: Algorithms; Atrial fibrillation; Cameras; Detection algorithms; Fibrillation; Health; Lenses; Noise; Recording; Slopes; Smart phones; Smartphones; Support vector machines; Turning

We have developed a motion and noise artifact (MNA)-resilient atrial fibrillation (AF) detection algorithm for smartphones that eliminates MNAs, and then detects AFs in smartphone camera recordings. MNA-corrupted episodes are observed to have larger values of turning point ratio (TPR), pulse slope,...