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

File: <base>/training/georgia/g10/E09495.hea (723 bytes) 
E09495 12 500 5000
E09495.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1457 0 I
E09495.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15240 0 II
E09495.mat 16x1+24 1000.0(0)/mV 16 0 19 -13062 0 III
E09495.mat 16x1+24 1000.0(0)/mV 16 0 19 8313 0 aVR
E09495.mat 16x1+24 1000.0(0)/mV 16 0 -24 5642 0 aVL
E09495.mat 16x1+24 1000.0(0)/mV 16 0 4 -14121 0 aVF
E09495.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13652 0 V1
E09495.mat 16x1+24 1000.0(0)/mV 16 0 -19 26700 0 V2
E09495.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25274 0 V3
E09495.mat 16x1+24 1000.0(0)/mV 16 0 -68 -9836 0 V4
E09495.mat 16x1+24 1000.0(0)/mV 16 0 -87 -14784 0 V5
E09495.mat 16x1+24 1000.0(0)/mV 16 0 -107 -12487 0 V6
# Age: 81
# Sex: Female
# Dx: 426177001,59931005
# Rx: Unknown
# Hx: Unknown