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

File: <base>/training/georgia/g10/E09893.hea (723 bytes) 
E09893 12 500 5000
E09893.mat 16x1+24 1000.0(0)/mV 16 0 136 -19649 0 I
E09893.mat 16x1+24 1000.0(0)/mV 16 0 107 -7620 0 II
E09893.mat 16x1+24 1000.0(0)/mV 16 0 -29 12897 0 III
E09893.mat 16x1+24 1000.0(0)/mV 16 0 -122 13465 0 aVR
E09893.mat 16x1+24 1000.0(0)/mV 16 0 82 -17048 0 aVL
E09893.mat 16x1+24 1000.0(0)/mV 16 0 39 2529 0 aVF
E09893.mat 16x1+24 1000.0(0)/mV 16 0 -39 26816 0 V1
E09893.mat 16x1+24 1000.0(0)/mV 16 0 78 -21566 0 V2
E09893.mat 16x1+24 1000.0(0)/mV 16 0 9 -27376 0 V3
E09893.mat 16x1+24 1000.0(0)/mV 16 0 0 -25030 0 V4
E09893.mat 16x1+24 1000.0(0)/mV 16 0 19 -29155 0 V5
E09893.mat 16x1+24 1000.0(0)/mV 16 0 29 -15883 0 V6
# Age: NaN
# Sex: Female
# Dx: 428750005,111975006
# Rx: Unknown
# Hx: Unknown