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

File: <base>/training/georgia/g4/E03352.hea (731 bytes) 
E03352 12 500 5000
E03352.mat 16x1+24 1000.0(0)/mV 16 0 9 -18315 0 I
E03352.mat 16x1+24 1000.0(0)/mV 16 0 48 -17220 0 II
E03352.mat 16x1+24 1000.0(0)/mV 16 0 39 600 0 III
E03352.mat 16x1+24 1000.0(0)/mV 16 0 -29 17762 0 aVR
E03352.mat 16x1+24 1000.0(0)/mV 16 0 -14 -9322 0 aVL
E03352.mat 16x1+24 1000.0(0)/mV 16 0 43 -8209 0 aVF
E03352.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27839 0 V1
E03352.mat 16x1+24 1000.0(0)/mV 16 0 0 -4009 0 V2
E03352.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15405 0 V3
E03352.mat 16x1+24 1000.0(0)/mV 16 0 -19 25321 0 V4
E03352.mat 16x1+24 1000.0(0)/mV 16 0 -165 -28978 0 V5
E03352.mat 16x1+24 1000.0(0)/mV 16 0 -107 -28609 0 V6
# Age: 72
# Sex: Female
# Dx: 428750005,164934002,429622005
# Rx: Unknown
# Hx: Unknown