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

File: <base>/training/georgia/g6/E05915.hea (732 bytes) 
E05915 12 500 5000
E05915.mat 16x1+24 1000.0(0)/mV 16 0 -39 -27973 0 I
E05915.mat 16x1+24 1000.0(0)/mV 16 0 -29 -21670 0 II
E05915.mat 16x1+24 1000.0(0)/mV 16 0 9 6288 0 III
E05915.mat 16x1+24 1000.0(0)/mV 16 0 34 -8070 0 aVR
E05915.mat 16x1+24 1000.0(0)/mV 16 0 -24 16010 0 aVL
E05915.mat 16x1+24 1000.0(0)/mV 16 0 -9 -7393 0 aVF
E05915.mat 16x1+24 1000.0(0)/mV 16 0 19 15688 0 V1
E05915.mat 16x1+24 1000.0(0)/mV 16 0 -488 -16071 0 V2
E05915.mat 16x1+24 1000.0(0)/mV 16 0 -400 -25411 0 V3
E05915.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14625 0 V4
E05915.mat 16x1+24 1000.0(0)/mV 16 0 68 -17253 0 V5
E05915.mat 16x1+24 1000.0(0)/mV 16 0 -117 12272 0 V6
# Age: 57
# Sex: Male
# Dx: 428750005,111975006,59931005
# Rx: Unknown
# Hx: Unknown