Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(753 bytes)
E06180 12 500 5000
E06180.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9661 0 I
E06180.mat 16x1+24 1000.0(0)/mV 16 0 87 24375 0 II
E06180.mat 16x1+24 1000.0(0)/mV 16 0 146 -32199 0 III
E06180.mat 16x1+24 1000.0(0)/mV 16 0 -14 -7289 0 aVR
E06180.mat 16x1+24 1000.0(0)/mV 16 0 -102 -21295 0 aVL
E06180.mat 16x1+24 1000.0(0)/mV 16 0 117 28968 0 aVF
E06180.mat 16x1+24 1000.0(0)/mV 16 0 -214 8282 0 V1
E06180.mat 16x1+24 1000.0(0)/mV 16 0 19 -26833 0 V2
E06180.mat 16x1+24 1000.0(0)/mV 16 0 -9 11544 0 V3
E06180.mat 16x1+24 1000.0(0)/mV 16 0 644 20697 0 V4
E06180.mat 16x1+24 1000.0(0)/mV 16 0 331 -26205 0 V5
E06180.mat 16x1+24 1000.0(0)/mV 16 0 204 7387 0 V6
# Age: 64
# Sex: Male
# Dx: 111975006,164930006,425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown