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

File: <base>/training/georgia/g5/E04002.hea (707 bytes) 
E04002 12 500 5000
E04002.mat 16x1+24 1000.0(0)/mV 16 0 -82 -27401 0 I
E04002.mat 16x1+24 1000.0(0)/mV 16 0 -39 -32183 0 II
E04002.mat 16x1+24 1000.0(0)/mV 16 0 43 -4588 0 III
E04002.mat 16x1+24 1000.0(0)/mV 16 0 61 29431 0 aVR
E04002.mat 16x1+24 1000.0(0)/mV 16 0 -63 -11219 0 aVL
E04002.mat 16x1+24 1000.0(0)/mV 16 0 2 -18140 0 aVF
E04002.mat 16x1+24 1000.0(0)/mV 16 0 9 5290 0 V1
E04002.mat 16x1+24 1000.0(0)/mV 16 0 -58 2212 0 V2
E04002.mat 16x1+24 1000.0(0)/mV 16 0 -102 31782 0 V3
E04002.mat 16x1+24 1000.0(0)/mV 16 0 -34 -1785 0 V4
E04002.mat 16x1+24 1000.0(0)/mV 16 0 0 25248 0 V5
E04002.mat 16x1+24 1000.0(0)/mV 16 0 -29 -6242 0 V6
# Age: 47
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown