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

File: <base>/training/georgia/g10/E09756.hea (725 bytes) 
E09756 12 500 5000
E09756.mat 16x1+24 1000.0(0)/mV 16 0 9 -23584 0 I
E09756.mat 16x1+24 1000.0(0)/mV 16 0 -9 23682 0 II
E09756.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18282 0 III
E09756.mat 16x1+24 1000.0(0)/mV 16 0 0 -221 0 aVR
E09756.mat 16x1+24 1000.0(0)/mV 16 0 14 -2529 0 aVL
E09756.mat 16x1+24 1000.0(0)/mV 16 0 -14 2659 0 aVF
E09756.mat 16x1+24 1000.0(0)/mV 16 0 48 -12285 0 V1
E09756.mat 16x1+24 1000.0(0)/mV 16 0 19 -12768 0 V2
E09756.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8420 0 V3
E09756.mat 16x1+24 1000.0(0)/mV 16 0 19 -4576 0 V4
E09756.mat 16x1+24 1000.0(0)/mV 16 0 19 29048 0 V5
E09756.mat 16x1+24 1000.0(0)/mV 16 0 19 -19653 0 V6
# Age: 78
# Sex: Female
# Dx: 428750005,39732003,164873001
# Rx: Unknown
# Hx: Unknown