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

File: <base>/training/georgia/g8/E07992.hea (715 bytes) 
E07992 12 500 5000
E07992.mat 16x1+24 1000.0(0)/mV 16 0 -9 23039 0 I
E07992.mat 16x1+24 1000.0(0)/mV 16 0 -48 7481 0 II
E07992.mat 16x1+24 1000.0(0)/mV 16 0 -39 -15923 0 III
E07992.mat 16x1+24 1000.0(0)/mV 16 0 29 17606 0 aVR
E07992.mat 16x1+24 1000.0(0)/mV 16 0 14 19661 0 aVL
E07992.mat 16x1+24 1000.0(0)/mV 16 0 -43 27977 0 aVF
E07992.mat 16x1+24 1000.0(0)/mV 16 0 68 16972 0 V1
E07992.mat 16x1+24 1000.0(0)/mV 16 0 107 -25852 0 V2
E07992.mat 16x1+24 1000.0(0)/mV 16 0 146 -26422 0 V3
E07992.mat 16x1+24 1000.0(0)/mV 16 0 29 1502 0 V4
E07992.mat 16x1+24 1000.0(0)/mV 16 0 0 -7859 0 V5
E07992.mat 16x1+24 1000.0(0)/mV 16 0 0 -25067 0 V6
# Age: 40
# Sex: Male
# Dx: 426177001,251146004
# Rx: Unknown
# Hx: Unknown