Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g7/E06584.hea (731 bytes)
E06584 12 500 5000
E06584.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15164 0 I
E06584.mat 16x1+24 1000.0(0)/mV 16 0 -283 -24454 0 II
E06584.mat 16x1+24 1000.0(0)/mV 16 0 -273 -9146 0 III
E06584.mat 16x1+24 1000.0(0)/mV 16 0 146 -12947 0 aVR
E06584.mat 16x1+24 1000.0(0)/mV 16 0 131 29527 0 aVL
E06584.mat 16x1+24 1000.0(0)/mV 16 0 -278 -16872 0 aVF
E06584.mat 16x1+24 1000.0(0)/mV 16 0 117 -26190 0 V1
E06584.mat 16x1+24 1000.0(0)/mV 16 0 292 16977 0 V2
E06584.mat 16x1+24 1000.0(0)/mV 16 0 -48 28832 0 V3
E06584.mat 16x1+24 1000.0(0)/mV 16 0 0 -27377 0 V4
E06584.mat 16x1+24 1000.0(0)/mV 16 0 -136 16843 0 V5
E06584.mat 16x1+24 1000.0(0)/mV 16 0 39 -29406 0 V6
# Age: 59
# Sex: Female
# Dx: 426434006,164934002
# Rx: Unknown
# Hx: Unknown