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

File: <base>/training/georgia/g10/E09532.hea (736 bytes) 
E09532 12 500 5000
E09532.mat 16x1+24 1000.0(0)/mV 16 0 -107 -16838 0 I
E09532.mat 16x1+24 1000.0(0)/mV 16 0 -136 28691 0 II
E09532.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19614 0 III
E09532.mat 16x1+24 1000.0(0)/mV 16 0 122 26716 0 aVR
E09532.mat 16x1+24 1000.0(0)/mV 16 0 -39 1242 0 aVL
E09532.mat 16x1+24 1000.0(0)/mV 16 0 -82 -28179 0 aVF
E09532.mat 16x1+24 1000.0(0)/mV 16 0 97 -2993 0 V1
E09532.mat 16x1+24 1000.0(0)/mV 16 0 117 -4881 0 V2
E09532.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13213 0 V3
E09532.mat 16x1+24 1000.0(0)/mV 16 0 -97 2737 0 V4
E09532.mat 16x1+24 1000.0(0)/mV 16 0 -156 11291 0 V5
E09532.mat 16x1+24 1000.0(0)/mV 16 0 -97 -8677 0 V6
# Age: 67
# Sex: Male
# Dx: 164934002,164890007,233917008
# Rx: Unknown
# Hx: Unknown