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

File: <base>/training/georgia/g4/E03815.hea (741 bytes) 
E03815 12 500 5000
E03815.mat 16x1+24 1000.0(0)/mV 16 0 -19 10927 0 I
E03815.mat 16x1+24 1000.0(0)/mV 16 0 -107 -31588 0 II
E03815.mat 16x1+24 1000.0(0)/mV 16 0 -87 21981 0 III
E03815.mat 16x1+24 1000.0(0)/mV 16 0 63 9849 0 aVR
E03815.mat 16x1+24 1000.0(0)/mV 16 0 34 27221 0 aVL
E03815.mat 16x1+24 1000.0(0)/mV 16 0 -97 27902 0 aVF
E03815.mat 16x1+24 1000.0(0)/mV 16 0 -19 13094 0 V1
E03815.mat 16x1+24 1000.0(0)/mV 16 0 19 -28401 0 V2
E03815.mat 16x1+24 1000.0(0)/mV 16 0 -48 -1475 0 V3
E03815.mat 16x1+24 1000.0(0)/mV 16 0 29 10361 0 V4
E03815.mat 16x1+24 1000.0(0)/mV 16 0 -29 -10942 0 V5
E03815.mat 16x1+24 1000.0(0)/mV 16 0 -19 -27309 0 V6
# Age: 66
# Sex: Male
# Dx: 59118001,270492004,425419005,426177001
# Rx: Unknown
# Hx: Unknown