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

File: <base>/training/georgia/g2/E01242.hea (738 bytes) 
E01242 12 500 5000
E01242.mat 16x1+24 1000.0(0)/mV 16 0 19 -30670 0 I
E01242.mat 16x1+24 1000.0(0)/mV 16 0 29 -25348 0 II
E01242.mat 16x1+24 1000.0(0)/mV 16 0 9 4579 0 III
E01242.mat 16x1+24 1000.0(0)/mV 16 0 -24 27943 0 aVR
E01242.mat 16x1+24 1000.0(0)/mV 16 0 4 -17188 0 aVL
E01242.mat 16x1+24 1000.0(0)/mV 16 0 19 -10221 0 aVF
E01242.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8152 0 V1
E01242.mat 16x1+24 1000.0(0)/mV 16 0 214 -10464 0 V2
E01242.mat 16x1+24 1000.0(0)/mV 16 0 19 -26049 0 V3
E01242.mat 16x1+24 1000.0(0)/mV 16 0 -19 7216 0 V4
E01242.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21278 0 V5
E01242.mat 16x1+24 1000.0(0)/mV 16 0 -48 22184 0 V6
# Age: 44
# Sex: Male
# Dx: 425623009,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown