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

File: <base>/training/georgia/g4/E03874.hea (723 bytes) 
E03874 12 500 5000
E03874.mat 16x1+24 1000.0(0)/mV 16 0 19 6227 0 I
E03874.mat 16x1+24 1000.0(0)/mV 16 0 224 -30942 0 II
E03874.mat 16x1+24 1000.0(0)/mV 16 0 204 29063 0 III
E03874.mat 16x1+24 1000.0(0)/mV 16 0 -122 -20375 0 aVR
E03874.mat 16x1+24 1000.0(0)/mV 16 0 -92 -11530 0 aVL
E03874.mat 16x1+24 1000.0(0)/mV 16 0 214 31926 0 aVF
E03874.mat 16x1+24 1000.0(0)/mV 16 0 -126 28582 0 V1
E03874.mat 16x1+24 1000.0(0)/mV 16 0 87 16781 0 V2
E03874.mat 16x1+24 1000.0(0)/mV 16 0 78 -31349 0 V3
E03874.mat 16x1+24 1000.0(0)/mV 16 0 126 19330 0 V4
E03874.mat 16x1+24 1000.0(0)/mV 16 0 175 28124 0 V5
E03874.mat 16x1+24 1000.0(0)/mV 16 0 -97 29157 0 V6
# Age: 44
# Sex: Male
# Dx: 426177001,59931005
# Rx: Unknown
# Hx: Unknown