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

File: <base>/training/georgia/g10/E09154.hea (719 bytes) 
E09154 12 500 5000
E09154.mat 16x1+24 1000.0(0)/mV 16 0 234 25218 0 I
E09154.mat 16x1+24 1000.0(0)/mV 16 0 156 -27509 0 II
E09154.mat 16x1+24 1000.0(0)/mV 16 0 -78 12043 0 III
E09154.mat 16x1+24 1000.0(0)/mV 16 0 -195 -31777 0 aVR
E09154.mat 16x1+24 1000.0(0)/mV 16 0 156 -25996 0 aVL
E09154.mat 16x1+24 1000.0(0)/mV 16 0 39 -7207 0 aVF
E09154.mat 16x1+24 1000.0(0)/mV 16 0 -126 -5505 0 V1
E09154.mat 16x1+24 1000.0(0)/mV 16 0 234 -27607 0 V2
E09154.mat 16x1+24 1000.0(0)/mV 16 0 9 -1722 0 V3
E09154.mat 16x1+24 1000.0(0)/mV 16 0 224 -20029 0 V4
E09154.mat 16x1+24 1000.0(0)/mV 16 0 175 -19255 0 V5
E09154.mat 16x1+24 1000.0(0)/mV 16 0 117 26328 0 V6
# Age: 53
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown