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

File: <base>/training/georgia/g3/E02909.hea (708 bytes) 
E02909 12 500 5000
E02909.mat 16x1+24 1000.0(0)/mV 16 0 -87 -15259 0 I
E02909.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8656 0 II
E02909.mat 16x1+24 1000.0(0)/mV 16 0 19 5896 0 III
E02909.mat 16x1+24 1000.0(0)/mV 16 0 78 11877 0 aVR
E02909.mat 16x1+24 1000.0(0)/mV 16 0 -53 -10479 0 aVL
E02909.mat 16x1+24 1000.0(0)/mV 16 0 -24 -1492 0 aVF
E02909.mat 16x1+24 1000.0(0)/mV 16 0 39 -2890 0 V1
E02909.mat 16x1+24 1000.0(0)/mV 16 0 -97 9436 0 V2
E02909.mat 16x1+24 1000.0(0)/mV 16 0 -78 6630 0 V3
E02909.mat 16x1+24 1000.0(0)/mV 16 0 -68 21356 0 V4
E02909.mat 16x1+24 1000.0(0)/mV 16 0 -78 22843 0 V5
E02909.mat 16x1+24 1000.0(0)/mV 16 0 -87 -3484 0 V6
# Age: 67
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown