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

File: <base>/training/georgia/g1/E00609.hea (752 bytes) 
E00609 12 500 5000
E00609.mat 16x1+24 1000.0(0)/mV 16 0 39 31951 0 I
E00609.mat 16x1+24 1000.0(0)/mV 16 0 29 5275 0 II
E00609.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26572 0 III
E00609.mat 16x1+24 1000.0(0)/mV 16 0 -34 13827 0 aVR
E00609.mat 16x1+24 1000.0(0)/mV 16 0 24 -3358 0 aVL
E00609.mat 16x1+24 1000.0(0)/mV 16 0 9 -10902 0 aVF
E00609.mat 16x1+24 1000.0(0)/mV 16 0 0 -8267 0 V1
E00609.mat 16x1+24 1000.0(0)/mV 16 0 87 -18082 0 V2
E00609.mat 16x1+24 1000.0(0)/mV 16 0 87 -3359 0 V3
E00609.mat 16x1+24 1000.0(0)/mV 16 0 68 -3961 0 V4
E00609.mat 16x1+24 1000.0(0)/mV 16 0 29 -10436 0 V5
E00609.mat 16x1+24 1000.0(0)/mV 16 0 -29 18969 0 V6
# Age: 61
# Sex: Male
# Dx: 426177001,426434006,59931005,164934002,164917005,111975006
# Rx: Unknown
# Hx: Unknown