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

File: <base>/training/georgia/g10/E09566.hea (724 bytes) 
E09566 12 500 5000
E09566.mat 16x1+24 1000.0(0)/mV 16 0 102 -22747 0 I
E09566.mat 16x1+24 1000.0(0)/mV 16 0 -63 -4255 0 II
E09566.mat 16x1+24 1000.0(0)/mV 16 0 -165 18622 0 III
E09566.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19242 0 aVR
E09566.mat 16x1+24 1000.0(0)/mV 16 0 134 12193 0 aVL
E09566.mat 16x1+24 1000.0(0)/mV 16 0 -114 7030 0 aVF
E09566.mat 16x1+24 1000.0(0)/mV 16 0 -24 -20528 0 V1
E09566.mat 16x1+24 1000.0(0)/mV 16 0 -24 -20892 0 V2
E09566.mat 16x1+24 1000.0(0)/mV 16 0 34 29359 0 V3
E09566.mat 16x1+24 1000.0(0)/mV 16 0 190 -14990 0 V4
E09566.mat 16x1+24 1000.0(0)/mV 16 0 224 -27776 0 V5
E09566.mat 16x1+24 1000.0(0)/mV 16 0 43 -60 0 V6
# Age: 77
# Sex: Male
# Dx: 164873001,59931005
# Rx: Unknown
# Hx: Unknown