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

File: <base>/training/georgia/g2/E01704.hea (724 bytes) 
E01704 12 500 5000
E01704.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9598 0 I
E01704.mat 16x1+24 1000.0(0)/mV 16 0 -97 29354 0 II
E01704.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25681 0 III
E01704.mat 16x1+24 1000.0(0)/mV 16 0 78 22884 0 aVR
E01704.mat 16x1+24 1000.0(0)/mV 16 0 -9 8259 0 aVL
E01704.mat 16x1+24 1000.0(0)/mV 16 0 -68 -30852 0 aVF
E01704.mat 16x1+24 1000.0(0)/mV 16 0 263 -13745 0 V1
E01704.mat 16x1+24 1000.0(0)/mV 16 0 283 -17302 0 V2
E01704.mat 16x1+24 1000.0(0)/mV 16 0 -165 -2879 0 V3
E01704.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15888 0 V4
E01704.mat 16x1+24 1000.0(0)/mV 16 0 -78 28425 0 V5
E01704.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8653 0 V6
# Age: 51
# Sex: Male
# Dx: 427084000,164934002
# Rx: Unknown
# Hx: Unknown