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

File: <base>/training/georgia/g10/E09680.hea (710 bytes) 
E09680 12 500 5000
E09680.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15651 0 I
E09680.mat 16x1+24 1000.0(0)/mV 16 0 -29 -7803 0 II
E09680.mat 16x1+24 1000.0(0)/mV 16 0 19 7890 0 III
E09680.mat 16x1+24 1000.0(0)/mV 16 0 39 11409 0 aVR
E09680.mat 16x1+24 1000.0(0)/mV 16 0 -34 -11386 0 aVL
E09680.mat 16x1+24 1000.0(0)/mV 16 0 -4 65 0 aVF
E09680.mat 16x1+24 1000.0(0)/mV 16 0 39 -5708 0 V1
E09680.mat 16x1+24 1000.0(0)/mV 16 0 0 5043 0 V2
E09680.mat 16x1+24 1000.0(0)/mV 16 0 9 4418 0 V3
E09680.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9642 0 V4
E09680.mat 16x1+24 1000.0(0)/mV 16 0 -58 25694 0 V5
E09680.mat 16x1+24 1000.0(0)/mV 16 0 -48 -5359 0 V6
# Age: 63
# Sex: Male
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown