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

File: <base>/training/georgia/g9/E08894.hea (708 bytes) 
E08894 12 500 5000
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -39 -7165 0 I
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6528 0 II
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -9 1304 0 III
E08894.mat 16x1+24 1000.0(0)/mV 16 0 43 6588 0 aVR
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -14 -3706 0 aVL
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -29 -2567 0 aVF
E08894.mat 16x1+24 1000.0(0)/mV 16 0 43 -28926 0 V1
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -34 -8984 0 V2
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -43 -12691 0 V3
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -48 -13708 0 V4
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -48 8844 0 V5
E08894.mat 16x1+24 1000.0(0)/mV 16 0 -43 5408 0 V6
# Age: 73
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown