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

File: <base>/training/georgia/g8/E07822.hea (720 bytes) 
E07822 12 500 5000
E07822.mat 16x1+24 1000.0(0)/mV 16 0 361 21849 0 I
E07822.mat 16x1+24 1000.0(0)/mV 16 0 141 -13293 0 II
E07822.mat 16x1+24 1000.0(0)/mV 16 0 -219 31111 0 III
E07822.mat 16x1+24 1000.0(0)/mV 16 0 -251 28926 0 aVR
E07822.mat 16x1+24 1000.0(0)/mV 16 0 290 -4634 0 aVL
E07822.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23898 0 aVF
E07822.mat 16x1+24 1000.0(0)/mV 16 0 0 23082 0 V1
E07822.mat 16x1+24 1000.0(0)/mV 16 0 -434 14751 0 V2
E07822.mat 16x1+24 1000.0(0)/mV 16 0 161 -11210 0 V3
E07822.mat 16x1+24 1000.0(0)/mV 16 0 204 22342 0 V4
E07822.mat 16x1+24 1000.0(0)/mV 16 0 102 25711 0 V5
E07822.mat 16x1+24 1000.0(0)/mV 16 0 -185 -32328 0 V6
# Age: 73
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown