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

File: <base>/training/georgia/g9/E08183.hea (711 bytes) 
E08183 12 500 5000
E08183.mat 16x1+24 1000.0(0)/mV 16 0 9 -4832 0 I
E08183.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30403 0 II
E08183.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25391 0 III
E08183.mat 16x1+24 1000.0(0)/mV 16 0 9 17600 0 aVR
E08183.mat 16x1+24 1000.0(0)/mV 16 0 24 10997 0 aVL
E08183.mat 16x1+24 1000.0(0)/mV 16 0 -34 -27366 0 aVF
E08183.mat 16x1+24 1000.0(0)/mV 16 0 136 -8469 0 V1
E08183.mat 16x1+24 1000.0(0)/mV 16 0 322 9483 0 V2
E08183.mat 16x1+24 1000.0(0)/mV 16 0 126 -10117 0 V3
E08183.mat 16x1+24 1000.0(0)/mV 16 0 58 -21851 0 V4
E08183.mat 16x1+24 1000.0(0)/mV 16 0 39 -20245 0 V5
E08183.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16480 0 V6
# Age: 30
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown