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

File: <base>/training/georgia/g10/E09824.hea (707 bytes) 
E09824 12 500 5000
E09824.mat 16x1+24 1000.0(0)/mV 16 0 -58 -27747 0 I
E09824.mat 16x1+24 1000.0(0)/mV 16 0 -58 -8030 0 II
E09824.mat 16x1+24 1000.0(0)/mV 16 0 0 20010 0 III
E09824.mat 16x1+24 1000.0(0)/mV 16 0 58 17916 0 aVR
E09824.mat 16x1+24 1000.0(0)/mV 16 0 -29 -23529 0 aVL
E09824.mat 16x1+24 1000.0(0)/mV 16 0 -29 6394 0 aVF
E09824.mat 16x1+24 1000.0(0)/mV 16 0 9 -11218 0 V1
E09824.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16241 0 V2
E09824.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9543 0 V3
E09824.mat 16x1+24 1000.0(0)/mV 16 0 -68 -2945 0 V4
E09824.mat 16x1+24 1000.0(0)/mV 16 0 -68 2014 0 V5
E09824.mat 16x1+24 1000.0(0)/mV 16 0 -58 212 0 V6
# Age: 45
# Sex: Male
# Dx: 713426002
# Rx: Unknown
# Hx: Unknown