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

File: <base>/training/georgia/g8/E07952.hea (731 bytes) 
E07952 12 500 5000
E07952.mat 16x1+24 1000.0(0)/mV 16 0 19 -25118 0 I
E07952.mat 16x1+24 1000.0(0)/mV 16 0 9 -19163 0 II
E07952.mat 16x1+24 1000.0(0)/mV 16 0 -9 6033 0 III
E07952.mat 16x1+24 1000.0(0)/mV 16 0 -14 22052 0 aVR
E07952.mat 16x1+24 1000.0(0)/mV 16 0 14 -15100 0 aVL
E07952.mat 16x1+24 1000.0(0)/mV 16 0 0 -6552 0 aVF
E07952.mat 16x1+24 1000.0(0)/mV 16 0 185 -12205 0 V1
E07952.mat 16x1+24 1000.0(0)/mV 16 0 224 -24842 0 V2
E07952.mat 16x1+24 1000.0(0)/mV 16 0 273 -16824 0 V3
E07952.mat 16x1+24 1000.0(0)/mV 16 0 253 -30264 0 V4
E07952.mat 16x1+24 1000.0(0)/mV 16 0 253 -24727 0 V5
E07952.mat 16x1+24 1000.0(0)/mV 16 0 244 3411 0 V6
# Age: 81
# Sex: Male
# Dx: 270492004,427393009,111975006
# Rx: Unknown
# Hx: Unknown