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

File: <base>/training/georgia/g2/E01907.hea (709 bytes) 
E01907 12 500 5000
E01907.mat 16x1+24 1000.0(0)/mV 16 0 0 3813 0 I
E01907.mat 16x1+24 1000.0(0)/mV 16 0 -68 32059 0 II
E01907.mat 16x1+24 1000.0(0)/mV 16 0 -68 29272 0 III
E01907.mat 16x1+24 1000.0(0)/mV 16 0 34 -17870 0 aVR
E01907.mat 16x1+24 1000.0(0)/mV 16 0 34 -12715 0 aVL
E01907.mat 16x1+24 1000.0(0)/mV 16 0 -68 30653 0 aVF
E01907.mat 16x1+24 1000.0(0)/mV 16 0 -39 -30211 0 V1
E01907.mat 16x1+24 1000.0(0)/mV 16 0 -39 24860 0 V2
E01907.mat 16x1+24 1000.0(0)/mV 16 0 -97 -20215 0 V3
E01907.mat 16x1+24 1000.0(0)/mV 16 0 -263 4118 0 V4
E01907.mat 16x1+24 1000.0(0)/mV 16 0 -146 263 0 V5
E01907.mat 16x1+24 1000.0(0)/mV 16 0 -87 1675 0 V6
# Age: 42
# Sex: Male
# Dx: 428417006
# Rx: Unknown
# Hx: Unknown