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

File: <base>/training/georgia/g5/E04518.hea (731 bytes) 
E04518 12 500 5000
E04518.mat 16x1+24 1000.0(0)/mV 16 0 214 -1133 0 I
E04518.mat 16x1+24 1000.0(0)/mV 16 0 185 -19975 0 II
E04518.mat 16x1+24 1000.0(0)/mV 16 0 -29 -18569 0 III
E04518.mat 16x1+24 1000.0(0)/mV 16 0 -200 -22314 0 aVR
E04518.mat 16x1+24 1000.0(0)/mV 16 0 122 -24196 0 aVL
E04518.mat 16x1+24 1000.0(0)/mV 16 0 78 -19233 0 aVF
E04518.mat 16x1+24 1000.0(0)/mV 16 0 78 -3479 0 V1
E04518.mat 16x1+24 1000.0(0)/mV 16 0 48 4036 0 V2
E04518.mat 16x1+24 1000.0(0)/mV 16 0 9 11146 0 V3
E04518.mat 16x1+24 1000.0(0)/mV 16 0 58 -21147 0 V4
E04518.mat 16x1+24 1000.0(0)/mV 16 0 19 -11233 0 V5
E04518.mat 16x1+24 1000.0(0)/mV 16 0 39 21076 0 V6
# Age: 68
# Sex: Male
# Dx: 164889003,425623009,164934002
# Rx: Unknown
# Hx: Unknown