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

File: <base>/training/georgia/g5/E04049.hea (723 bytes) 
E04049 12 500 5000
E04049.mat 16x1+24 1000.0(0)/mV 16 0 9 -16155 0 I
E04049.mat 16x1+24 1000.0(0)/mV 16 0 -19 17652 0 II
E04049.mat 16x1+24 1000.0(0)/mV 16 0 -29 -31739 0 III
E04049.mat 16x1+24 1000.0(0)/mV 16 0 4 31940 0 aVR
E04049.mat 16x1+24 1000.0(0)/mV 16 0 19 -24889 0 aVL
E04049.mat 16x1+24 1000.0(0)/mV 16 0 -24 -7056 0 aVF
E04049.mat 16x1+24 1000.0(0)/mV 16 0 68 -24741 0 V1
E04049.mat 16x1+24 1000.0(0)/mV 16 0 -19 -6718 0 V2
E04049.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13978 0 V3
E04049.mat 16x1+24 1000.0(0)/mV 16 0 -136 29554 0 V4
E04049.mat 16x1+24 1000.0(0)/mV 16 0 107 -30450 0 V5
E04049.mat 16x1+24 1000.0(0)/mV 16 0 -68 23665 0 V6
# Age: 53
# Sex: Male
# Dx: 425623009,426177001
# Rx: Unknown
# Hx: Unknown