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

File: <base>/training/georgia/g10/E09280.hea (731 bytes) 
E09280 12 500 5000
E09280.mat 16x1+24 1000.0(0)/mV 16 0 78 -23655 0 I
E09280.mat 16x1+24 1000.0(0)/mV 16 0 136 27741 0 II
E09280.mat 16x1+24 1000.0(0)/mV 16 0 58 -13699 0 III
E09280.mat 16x1+24 1000.0(0)/mV 16 0 -107 30657 0 aVR
E09280.mat 16x1+24 1000.0(0)/mV 16 0 9 27606 0 aVL
E09280.mat 16x1+24 1000.0(0)/mV 16 0 97 6904 0 aVF
E09280.mat 16x1+24 1000.0(0)/mV 16 0 48 10841 0 V1
E09280.mat 16x1+24 1000.0(0)/mV 16 0 361 -14455 0 V2
E09280.mat 16x1+24 1000.0(0)/mV 16 0 273 -11003 0 V3
E09280.mat 16x1+24 1000.0(0)/mV 16 0 175 1579 0 V4
E09280.mat 16x1+24 1000.0(0)/mV 16 0 58 -25966 0 V5
E09280.mat 16x1+24 1000.0(0)/mV 16 0 29 -15529 0 V6
# Age: 66
# Sex: Female
# Dx: 713422000,164934002,111975006
# Rx: Unknown
# Hx: Unknown