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

File: <base>/training/georgia/g6/E05704.hea (707 bytes) 
E05704 12 500 5000
E05704.mat 16x1+24 1000.0(0)/mV 16 0 97 2340 0 I
E05704.mat 16x1+24 1000.0(0)/mV 16 0 273 493 0 II
E05704.mat 16x1+24 1000.0(0)/mV 16 0 175 -1108 0 III
E05704.mat 16x1+24 1000.0(0)/mV 16 0 -185 -1207 0 aVR
E05704.mat 16x1+24 1000.0(0)/mV 16 0 -39 1376 0 aVL
E05704.mat 16x1+24 1000.0(0)/mV 16 0 224 -324 0 aVF
E05704.mat 16x1+24 1000.0(0)/mV 16 0 -87 -20571 0 V1
E05704.mat 16x1+24 1000.0(0)/mV 16 0 146 13363 0 V2
E05704.mat 16x1+24 1000.0(0)/mV 16 0 146 2537 0 V3
E05704.mat 16x1+24 1000.0(0)/mV 16 0 214 2879 0 V4
E05704.mat 16x1+24 1000.0(0)/mV 16 0 204 -14012 0 V5
E05704.mat 16x1+24 1000.0(0)/mV 16 0 136 -3350 0 V6
# Age: 43
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown