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

File: <base>/training/georgia/g9/E08613.hea (705 bytes) 
E08613 12 500 5000
E08613.mat 16x1+24 1000.0(0)/mV 16 0 -29 25560 0 I
E08613.mat 16x1+24 1000.0(0)/mV 16 0 29 -26364 0 II
E08613.mat 16x1+24 1000.0(0)/mV 16 0 58 14406 0 III
E08613.mat 16x1+24 1000.0(0)/mV 16 0 0 522 0 aVR
E08613.mat 16x1+24 1000.0(0)/mV 16 0 -43 5475 0 aVL
E08613.mat 16x1+24 1000.0(0)/mV 16 0 43 -6103 0 aVF
E08613.mat 16x1+24 1000.0(0)/mV 16 0 9 18700 0 V1
E08613.mat 16x1+24 1000.0(0)/mV 16 0 -19 2616 0 V2
E08613.mat 16x1+24 1000.0(0)/mV 16 0 -9 15501 0 V3
E08613.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13782 0 V4
E08613.mat 16x1+24 1000.0(0)/mV 16 0 -68 13003 0 V5
E08613.mat 16x1+24 1000.0(0)/mV 16 0 -136 -4739 0 V6
# Age: 50
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown