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

File: <base>/training/georgia/g9/E08354.hea (714 bytes) 
E08354 12 500 5000
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -78 -10867 0 I
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -87 -16274 0 II
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4752 0 III
E08354.mat 16x1+24 1000.0(0)/mV 16 0 82 13588 0 aVR
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -34 -2586 0 aVL
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10471 0 aVF
E08354.mat 16x1+24 1000.0(0)/mV 16 0 1590 29287 0 V1
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -219 9800 0 V2
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -34 32056 0 V3
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -78 -3690 0 V4
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -82 15817 0 V5
E08354.mat 16x1+24 1000.0(0)/mV 16 0 -78 -1893 0 V6
# Age: 28
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown