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

File: <base>/training/georgia/g4/E03404.hea (712 bytes)
E03404 12 500 5000
E03404.mat 16x1+24 1000.0(0)/mV 16 0 -9 20134 0 I
E03404.mat 16x1+24 1000.0(0)/mV 16 0 -107 -20531 0 II
E03404.mat 16x1+24 1000.0(0)/mV 16 0 -97 25360 0 III
E03404.mat 16x1+24 1000.0(0)/mV 16 0 58 170 0 aVR
E03404.mat 16x1+24 1000.0(0)/mV 16 0 43 -3053 0 aVL
E03404.mat 16x1+24 1000.0(0)/mV 16 0 -102 2421 0 aVF
E03404.mat 16x1+24 1000.0(0)/mV 16 0 -39 -1708 0 V1
E03404.mat 16x1+24 1000.0(0)/mV 16 0 9 3379 0 V2
E03404.mat 16x1+24 1000.0(0)/mV 16 0 29 -1560 0 V3
E03404.mat 16x1+24 1000.0(0)/mV 16 0 39 30456 0 V4
E03404.mat 16x1+24 1000.0(0)/mV 16 0 29 -11514 0 V5
E03404.mat 16x1+24 1000.0(0)/mV 16 0 29 2520 0 V6
# Age: 54
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown