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

File: <base>/training/georgia/g8/E07795.hea (703 bytes) 
E07795 12 500 5000
E07795.mat 16x1+24 1000.0(0)/mV 16 0 -29 -26224 0 I
E07795.mat 16x1+24 1000.0(0)/mV 16 0 9 6733 0 II
E07795.mat 16x1+24 1000.0(0)/mV 16 0 39 32649 0 III
E07795.mat 16x1+24 1000.0(0)/mV 16 0 9 9622 0 aVR
E07795.mat 16x1+24 1000.0(0)/mV 16 0 -34 -29246 0 aVL
E07795.mat 16x1+24 1000.0(0)/mV 16 0 24 19519 0 aVF
E07795.mat 16x1+24 1000.0(0)/mV 16 0 0 -25249 0 V1
E07795.mat 16x1+24 1000.0(0)/mV 16 0 -29 27780 0 V2
E07795.mat 16x1+24 1000.0(0)/mV 16 0 -9 26094 0 V3
E07795.mat 16x1+24 1000.0(0)/mV 16 0 -29 21058 0 V4
E07795.mat 16x1+24 1000.0(0)/mV 16 0 0 -6958 0 V5
E07795.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30283 0 V6
# Age: 56
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown