AliveCor is a smartphone electrocardiography device (iECG) providing automated heart rate (HR) and rhythm determination. Atrial fibrillation (AF) in horses often is paroxysmal and rapid ECG acquisition is needed for diagnostic confirmation. iECGs were collected post-race from 15 horses with AF and 64 horses in sinus rhythm (SR). Results of manual assessment were compared to 3 commercial algorithms for HR and rhythm. Agreement between manually derived HR (HR M ) and HR derived by the AliveECG Vet (HR VET ) and Kardia version-1 (K V1 HR) and Kardia advanced (K ADV HR) algorithms was quantified by the Bland-Altman limits of agreement test. Agreement between manual rhythm classification and K V1 and K ADV algorithms for AF and SR was calculated by the Kappa statistical coefficient. The agreement (bias, 95% limits), between HR M and HR VET was 7.1 BPM (À29 to 43) in AF and À4.2 BPM (À38 to 30) in SR, between HR M and K V1 HR, was À0.3 BPM (À31 to 30) in AF and 0.2 BPM (À3 to 4) in SR, and between HR M and K ADV HR was 7.0 BPM (À29 to 43) in AF and 0.2 BPM (À3.9 to 4.2) in SR. Agreement between manual rhythm classification and K V1 was 0.36 (0.13-0.59), and K ADV was 0.84 (0.68-0.99). Sensitivity and specificity for identification of AF and SR of the K V1 algorithm were 60, 100% and 83, 100%, respectively, and of K ADV was 87, 100% and 93, 100% respectively. The Kardia algorithms improved precision for HR determination in SR but not AF. The advanced algorithm accurately distinguished between AF and SR. The iECG is suitable for recording episodes of AF following exercise.