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

File: <base>/training/georgia/g8/E07922.hea (710 bytes) 
E07922 12 500 5000
E07922.mat 16x1+24 1000.0(0)/mV 16 0 82 -19558 0 I
E07922.mat 16x1+24 1000.0(0)/mV 16 0 -53 3586 0 II
E07922.mat 16x1+24 1000.0(0)/mV 16 0 -136 22958 0 III
E07922.mat 16x1+24 1000.0(0)/mV 16 0 -14 7935 0 aVR
E07922.mat 16x1+24 1000.0(0)/mV 16 0 109 -21176 0 aVL
E07922.mat 16x1+24 1000.0(0)/mV 16 0 -95 12973 0 aVF
E07922.mat 16x1+24 1000.0(0)/mV 16 0 488 3536 0 V1
E07922.mat 16x1+24 1000.0(0)/mV 16 0 883 702 0 V2
E07922.mat 16x1+24 1000.0(0)/mV 16 0 722 22529 0 V3
E07922.mat 16x1+24 1000.0(0)/mV 16 0 -78 -9669 0 V4
E07922.mat 16x1+24 1000.0(0)/mV 16 0 -814 -31103 0 V5
E07922.mat 16x1+24 1000.0(0)/mV 16 0 24 12506 0 V6
# Age: 69
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown