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

File: <base>/training/georgia/g8/E07919.hea (714 bytes) 
E07919 12 500 5000
E07919.mat 16x1+24 1000.0(0)/mV 16 0 -214 7982 0 I
E07919.mat 16x1+24 1000.0(0)/mV 16 0 39 2690 0 II
E07919.mat 16x1+24 1000.0(0)/mV 16 0 253 -4652 0 III
E07919.mat 16x1+24 1000.0(0)/mV 16 0 87 -5471 0 aVR
E07919.mat 16x1+24 1000.0(0)/mV 16 0 -234 -26576 0 aVL
E07919.mat 16x1+24 1000.0(0)/mV 16 0 146 31713 0 aVF
E07919.mat 16x1+24 1000.0(0)/mV 16 0 -185 32573 0 V1
E07919.mat 16x1+24 1000.0(0)/mV 16 0 -331 30645 0 V2
E07919.mat 16x1+24 1000.0(0)/mV 16 0 -536 15016 0 V3
E07919.mat 16x1+24 1000.0(0)/mV 16 0 -146 -9589 0 V4
E07919.mat 16x1+24 1000.0(0)/mV 16 0 -9 -5837 0 V5
E07919.mat 16x1+24 1000.0(0)/mV 16 0 58 -29122 0 V6
# Age: 40
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown