Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(725 bytes)
E08012 12 500 5000
E08012.mat 16x1+24 1000.0(0)/mV 16 0 -82 12453 0 I
E08012.mat 16x1+24 1000.0(0)/mV 16 0 43 -23828 0 II
E08012.mat 16x1+24 1000.0(0)/mV 16 0 126 28733 0 III
E08012.mat 16x1+24 1000.0(0)/mV 16 0 19 5420 0 aVR
E08012.mat 16x1+24 1000.0(0)/mV 16 0 -104 -7934 0 aVL
E08012.mat 16x1+24 1000.0(0)/mV 16 0 85 2564 0 aVF
E08012.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9601 0 V1
E08012.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9667 0 V2
E08012.mat 16x1+24 1000.0(0)/mV 16 0 97 -14045 0 V3
E08012.mat 16x1+24 1000.0(0)/mV 16 0 48 4343 0 V4
E08012.mat 16x1+24 1000.0(0)/mV 16 0 34 -28329 0 V5
E08012.mat 16x1+24 1000.0(0)/mV 16 0 4 12976 0 V6
# Age: 74
# Sex: Male
# Dx: 251146004,164890007,233917008
# Rx: Unknown
# Hx: Unknown