Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(730 bytes)
E05272 12 500 5000
E05272.mat 16x1+24 1000.0(0)/mV 16 0 29 -12645 0 I
E05272.mat 16x1+24 1000.0(0)/mV 16 0 19 -4125 0 II
E05272.mat 16x1+24 1000.0(0)/mV 16 0 -9 8753 0 III
E05272.mat 16x1+24 1000.0(0)/mV 16 0 -24 8433 0 aVR
E05272.mat 16x1+24 1000.0(0)/mV 16 0 19 -10776 0 aVL
E05272.mat 16x1+24 1000.0(0)/mV 16 0 4 2250 0 aVF
E05272.mat 16x1+24 1000.0(0)/mV 16 0 -87 -153 0 V1
E05272.mat 16x1+24 1000.0(0)/mV 16 0 -9 -11361 0 V2
E05272.mat 16x1+24 1000.0(0)/mV 16 0 0 -6057 0 V3
E05272.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24118 0 V4
E05272.mat 16x1+24 1000.0(0)/mV 16 0 39 -25066 0 V5
E05272.mat 16x1+24 1000.0(0)/mV 16 0 0 -7353 0 V6
# Age: 62
# Sex: Male
# Dx: 713426002,89792004,111975006,164930006
# Rx: Unknown
# Hx: Unknown