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

File: <base>/training/georgia/g4/E03539.hea (715 bytes) 
E03539 12 500 5000
E03539.mat 16x1+24 1000.0(0)/mV 16 0 -29 9034 0 I
E03539.mat 16x1+24 1000.0(0)/mV 16 0 -126 -28983 0 II
E03539.mat 16x1+24 1000.0(0)/mV 16 0 -97 27687 0 III
E03539.mat 16x1+24 1000.0(0)/mV 16 0 78 -22906 0 aVR
E03539.mat 16x1+24 1000.0(0)/mV 16 0 34 23112 0 aVL
E03539.mat 16x1+24 1000.0(0)/mV 16 0 -112 -599 0 aVF
E03539.mat 16x1+24 1000.0(0)/mV 16 0 107 22481 0 V1
E03539.mat 16x1+24 1000.0(0)/mV 16 0 234 9953 0 V2
E03539.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11131 0 V3
E03539.mat 16x1+24 1000.0(0)/mV 16 0 -78 -13625 0 V4
E03539.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13205 0 V5
E03539.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13606 0 V6
# Age: 72
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown