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

File: <base>/training/georgia/g2/E01723.hea (711 bytes) 
E01723 12 500 5000
E01723.mat 16x1+24 1000.0(0)/mV 16 0 -48 -18918 0 I
E01723.mat 16x1+24 1000.0(0)/mV 16 0 -117 -31935 0 II
E01723.mat 16x1+24 1000.0(0)/mV 16 0 -68 -12706 0 III
E01723.mat 16x1+24 1000.0(0)/mV 16 0 82 25337 0 aVR
E01723.mat 16x1+24 1000.0(0)/mV 16 0 9 -2638 0 aVL
E01723.mat 16x1+24 1000.0(0)/mV 16 0 -92 -22210 0 aVF
E01723.mat 16x1+24 1000.0(0)/mV 16 0 19 -32050 0 V1
E01723.mat 16x1+24 1000.0(0)/mV 16 0 29 26058 0 V2
E01723.mat 16x1+24 1000.0(0)/mV 16 0 165 1790 0 V3
E01723.mat 16x1+24 1000.0(0)/mV 16 0 -136 -5246 0 V4
E01723.mat 16x1+24 1000.0(0)/mV 16 0 0 5007 0 V5
E01723.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24850 0 V6
# Age: 53
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown