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

File: <base>/training/georgia/g7/E06284.hea (731 bytes) 
E06284 12 500 5000
E06284.mat 16x1+24 1000.0(0)/mV 16 0 -146 -16250 0 I
E06284.mat 16x1+24 1000.0(0)/mV 16 0 -39 -26465 0 II
E06284.mat 16x1+24 1000.0(0)/mV 16 0 107 -10216 0 III
E06284.mat 16x1+24 1000.0(0)/mV 16 0 92 21101 0 aVR
E06284.mat 16x1+24 1000.0(0)/mV 16 0 -126 -3072 0 aVL
E06284.mat 16x1+24 1000.0(0)/mV 16 0 34 -18096 0 aVF
E06284.mat 16x1+24 1000.0(0)/mV 16 0 146 -13382 0 V1
E06284.mat 16x1+24 1000.0(0)/mV 16 0 68 -17593 0 V2
E06284.mat 16x1+24 1000.0(0)/mV 16 0 -312 2816 0 V3
E06284.mat 16x1+24 1000.0(0)/mV 16 0 -292 -26077 0 V4
E06284.mat 16x1+24 1000.0(0)/mV 16 0 -117 28376 0 V5
E06284.mat 16x1+24 1000.0(0)/mV 16 0 -29 26471 0 V6
# Age: 74
# Sex: Female
# Dx: 17338001,164934002
# Rx: Unknown
# Hx: Unknown