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

File: <base>/training/georgia/g10/E09652.hea (713 bytes) 
E09652 12 500 5000
E09652.mat 16x1+24 1000.0(0)/mV 16 0 -58 -18116 0 I
E09652.mat 16x1+24 1000.0(0)/mV 16 0 -68 14921 0 II
E09652.mat 16x1+24 1000.0(0)/mV 16 0 -9 -32058 0 III
E09652.mat 16x1+24 1000.0(0)/mV 16 0 63 1738 0 aVR
E09652.mat 16x1+24 1000.0(0)/mV 16 0 -24 -25352 0 aVL
E09652.mat 16x1+24 1000.0(0)/mV 16 0 -39 24191 0 aVF
E09652.mat 16x1+24 1000.0(0)/mV 16 0 68 -25685 0 V1
E09652.mat 16x1+24 1000.0(0)/mV 16 0 9 -25701 0 V2
E09652.mat 16x1+24 1000.0(0)/mV 16 0 -97 -10660 0 V3
E09652.mat 16x1+24 1000.0(0)/mV 16 0 -68 -11788 0 V4
E09652.mat 16x1+24 1000.0(0)/mV 16 0 -39 -12639 0 V5
E09652.mat 16x1+24 1000.0(0)/mV 16 0 -39 2629 0 V6
# Age: 65
# Sex: Male
# Dx: 713426002
# Rx: Unknown
# Hx: Unknown