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

File: <base>/training/georgia/g5/E04804.hea (710 bytes) 
E04804 12 500 5000
E04804.mat 16x1+24 1000.0(0)/mV 16 0 -19 9235 0 I
E04804.mat 16x1+24 1000.0(0)/mV 16 0 19 -3761 0 II
E04804.mat 16x1+24 1000.0(0)/mV 16 0 39 -13068 0 III
E04804.mat 16x1+24 1000.0(0)/mV 16 0 0 29866 0 aVR
E04804.mat 16x1+24 1000.0(0)/mV 16 0 -29 11373 0 aVL
E04804.mat 16x1+24 1000.0(0)/mV 16 0 29 24421 0 aVF
E04804.mat 16x1+24 1000.0(0)/mV 16 0 -53 -7774 0 V1
E04804.mat 16x1+24 1000.0(0)/mV 16 0 -58 1473 0 V2
E04804.mat 16x1+24 1000.0(0)/mV 16 0 -102 -11918 0 V3
E04804.mat 16x1+24 1000.0(0)/mV 16 0 -92 25097 0 V4
E04804.mat 16x1+24 1000.0(0)/mV 16 0 -43 -31046 0 V5
E04804.mat 16x1+24 1000.0(0)/mV 16 0 -4 20281 0 V6
# Age: 66
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown