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

File: <base>/training/georgia/g10/E09331.hea (712 bytes) 
E09331 12 500 5000
E09331.mat 16x1+24 1000.0(0)/mV 16 0 -58 28419 0 I
E09331.mat 16x1+24 1000.0(0)/mV 16 0 -39 1584 0 II
E09331.mat 16x1+24 1000.0(0)/mV 16 0 19 -27072 0 III
E09331.mat 16x1+24 1000.0(0)/mV 16 0 48 17645 0 aVR
E09331.mat 16x1+24 1000.0(0)/mV 16 0 -39 -4884 0 aVL
E09331.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12534 0 aVF
E09331.mat 16x1+24 1000.0(0)/mV 16 0 -29 -3018 0 V1
E09331.mat 16x1+24 1000.0(0)/mV 16 0 58 4668 0 V2
E09331.mat 16x1+24 1000.0(0)/mV 16 0 -136 -30308 0 V3
E09331.mat 16x1+24 1000.0(0)/mV 16 0 -97 21005 0 V4
E09331.mat 16x1+24 1000.0(0)/mV 16 0 -117 25164 0 V5
E09331.mat 16x1+24 1000.0(0)/mV 16 0 48 -4396 0 V6
# Age: 81
# Sex: Female
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown