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

File: <base>/training/georgia/g8/E07954.hea (707 bytes) 
E07954 12 500 5000
E07954.mat 16x1+24 1000.0(0)/mV 16 0 4 -6717 0 I
E07954.mat 16x1+24 1000.0(0)/mV 16 0 -87 -12298 0 II
E07954.mat 16x1+24 1000.0(0)/mV 16 0 -92 -6063 0 III
E07954.mat 16x1+24 1000.0(0)/mV 16 0 41 -24043 0 aVR
E07954.mat 16x1+24 1000.0(0)/mV 16 0 48 32357 0 aVL
E07954.mat 16x1+24 1000.0(0)/mV 16 0 -90 -9221 0 aVF
E07954.mat 16x1+24 1000.0(0)/mV 16 0 -4 28089 0 V1
E07954.mat 16x1+24 1000.0(0)/mV 16 0 29 27686 0 V2
E07954.mat 16x1+24 1000.0(0)/mV 16 0 -29 -5411 0 V3
E07954.mat 16x1+24 1000.0(0)/mV 16 0 24 20922 0 V4
E07954.mat 16x1+24 1000.0(0)/mV 16 0 -19 14270 0 V5
E07954.mat 16x1+24 1000.0(0)/mV 16 0 -4 -26094 0 V6
# Age: 74
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown