1. 219A machine learning classification algorithm to detect patients with paroxysmal atrial fibrillation during sinus rhythm. (18th June 2020) Authors: Tachmatzidis, D; Filos, D; Chouvarda, I; Mouselimis, D; Tsarouchas, A; Bakogiannis, K; Antoniadis, A; Fragkakis, N; Maglaveras, N; Vassilikos, V Journal: Europace Issue: Volume 22(2020)Supplement 1 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. 244An automated beat exclusion algorithm to improve beat-to-beat P-wave morphology analysis. (18th June 2020) Authors: Tachmatzidis, D; Filos, D; Chouvarda, I; Tsarouchas, A; Mouselimis, D; Bakogiannis, C; Antoniadis, A; Fragkakis, N; Maglaveras, N; Vassilikos, V Journal: Europace Issue: Volume 22(2020)Supplement 1 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Beat-to-beat P-wave analysis outperforms conventional P-wave indices in identifying patients with a history of paroxysmal atrial fibrillation, during sinus rhythm. (14th October 2021) Authors: Tachmatzidis, D; Filos, D; Tsarouchas, A; Mouselimis, D; Bakogiannis, C; Antoniadis, A; Chouvarda, I; Lazaridis, C; Triantafyllou, C; Fragkakis, N; Maglaveras, N; Vassilikos, V Journal: European heart journal Issue: Volume 42(2021)Supplement 1 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. P-wave beat-to-beat morphology analysis outperforms conventional P-wave indices in detecting patients with paroxysmal atrial fibrillation. (24th May 2021) Authors: Tachmatzidis, D; Filos, D; Tsarouchas, A; Mouselimis, D; Antoniadis, A; Bakogiannis, C; Chouvarda, I; Lazaridis, C; Triantafyllou, C; Fragkakis, N; Maglaveras, N; Vassilikos, V Journal: Europace Issue: Volume 23:Supplement 3(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗