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

File: <base>/training/georgia/g5/E04096.hea (714 bytes) 
E04096 12 500 5000
E04096.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6641 0 I
E04096.mat 16x1+24 1000.0(0)/mV 16 0 -97 -5181 0 II
E04096.mat 16x1+24 1000.0(0)/mV 16 0 -48 2314 0 III
E04096.mat 16x1+24 1000.0(0)/mV 16 0 73 5842 0 aVR
E04096.mat 16x1+24 1000.0(0)/mV 16 0 0 -4398 0 aVL
E04096.mat 16x1+24 1000.0(0)/mV 16 0 -73 -1675 0 aVF
E04096.mat 16x1+24 1000.0(0)/mV 16 0 39 30401 0 V1
E04096.mat 16x1+24 1000.0(0)/mV 16 0 -9 27174 0 V2
E04096.mat 16x1+24 1000.0(0)/mV 16 0 0 -24861 0 V3
E04096.mat 16x1+24 1000.0(0)/mV 16 0 29 -27314 0 V4
E04096.mat 16x1+24 1000.0(0)/mV 16 0 78 23751 0 V5
E04096.mat 16x1+24 1000.0(0)/mV 16 0 -39 6908 0 V6
# Age: 81
# Sex: Female
# Dx: 428750005,164873001
# Rx: Unknown
# Hx: Unknown