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

File: <base>/training/georgia/g2/E01911.hea (721 bytes) 
E01911 12 500 5000
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -78 -20613 0 I
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -204 -7594 0 II
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -126 13190 0 III
E01911.mat 16x1+24 1000.0(0)/mV 16 0 141 14017 0 aVR
E01911.mat 16x1+24 1000.0(0)/mV 16 0 24 -17041 0 aVL
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -165 2925 0 aVF
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -78 -10155 0 V1
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -165 7258 0 V2
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -214 16750 0 V3
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -253 -18306 0 V4
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -283 -28633 0 V5
E01911.mat 16x1+24 1000.0(0)/mV 16 0 -97 30328 0 V6
# Age: 66
# Sex: Male
# Dx: 251268003
# Rx: Unknown
# Hx: Unknown