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

File: <base>/training/georgia/g1/E00984.hea (709 bytes) 
E00984 12 500 5000
E00984.mat 16x1+24 1000.0(0)/mV 16 0 -29 11710 0 I
E00984.mat 16x1+24 1000.0(0)/mV 16 0 9 28459 0 II
E00984.mat 16x1+24 1000.0(0)/mV 16 0 39 17165 0 III
E00984.mat 16x1+24 1000.0(0)/mV 16 0 9 -20281 0 aVR
E00984.mat 16x1+24 1000.0(0)/mV 16 0 -34 -2746 0 aVL
E00984.mat 16x1+24 1000.0(0)/mV 16 0 24 22705 0 aVF
E00984.mat 16x1+24 1000.0(0)/mV 16 0 -126 -325 0 V1
E00984.mat 16x1+24 1000.0(0)/mV 16 0 -19 11970 0 V2
E00984.mat 16x1+24 1000.0(0)/mV 16 0 19 -24263 0 V3
E00984.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28389 0 V4
E00984.mat 16x1+24 1000.0(0)/mV 16 0 107 -26284 0 V5
E00984.mat 16x1+24 1000.0(0)/mV 16 0 48 -859 0 V6
# Age: 63
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown