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

File: <base>/training/georgia/g10/E09546.hea (736 bytes) 
E09546 12 500 5000
E09546.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29173 0 I
E09546.mat 16x1+24 1000.0(0)/mV 16 0 214 29095 0 II
E09546.mat 16x1+24 1000.0(0)/mV 16 0 224 -6661 0 III
E09546.mat 16x1+24 1000.0(0)/mV 16 0 -102 265 0 aVR
E09546.mat 16x1+24 1000.0(0)/mV 16 0 -117 21032 0 aVL
E09546.mat 16x1+24 1000.0(0)/mV 16 0 219 -21549 0 aVF
E09546.mat 16x1+24 1000.0(0)/mV 16 0 -68 -30862 0 V1
E09546.mat 16x1+24 1000.0(0)/mV 16 0 -97 17768 0 V2
E09546.mat 16x1+24 1000.0(0)/mV 16 0 39 15360 0 V3
E09546.mat 16x1+24 1000.0(0)/mV 16 0 185 21657 0 V4
E09546.mat 16x1+24 1000.0(0)/mV 16 0 195 13346 0 V5
E09546.mat 16x1+24 1000.0(0)/mV 16 0 370 -29837 0 V6
# Age: 66
# Sex: Female
# Dx: 428750005,427393009,111975006
# Rx: Unknown
# Hx: Unknown