Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E03314 12 500 5000
E03314.mat 16x1+24 1000.0(0)/mV 16 0 78 25469 0 I
E03314.mat 16x1+24 1000.0(0)/mV 16 0 58 -28507 0 II
E03314.mat 16x1+24 1000.0(0)/mV 16 0 -19 12126 0 III
E03314.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31299 0 aVR
E03314.mat 16x1+24 1000.0(0)/mV 16 0 48 -26130 0 aVL
E03314.mat 16x1+24 1000.0(0)/mV 16 0 19 -8153 0 aVF
E03314.mat 16x1+24 1000.0(0)/mV 16 0 126 9178 0 V1
E03314.mat 16x1+24 1000.0(0)/mV 16 0 97 28955 0 V2
E03314.mat 16x1+24 1000.0(0)/mV 16 0 0 -22488 0 V3
E03314.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24287 0 V4
E03314.mat 16x1+24 1000.0(0)/mV 16 0 -136 4983 0 V5
E03314.mat 16x1+24 1000.0(0)/mV 16 0 0 -21030 0 V6
# Age: 66
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown