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

File: <base>/training/georgia/g9/E08763.hea (711 bytes) 
E08763 12 500 5000
E08763.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13165 0 I
E08763.mat 16x1+24 1000.0(0)/mV 16 0 -136 12917 0 II
E08763.mat 16x1+24 1000.0(0)/mV 16 0 -78 26699 0 III
E08763.mat 16x1+24 1000.0(0)/mV 16 0 97 -32651 0 aVR
E08763.mat 16x1+24 1000.0(0)/mV 16 0 9 12592 0 aVL
E08763.mat 16x1+24 1000.0(0)/mV 16 0 -107 19784 0 aVF
E08763.mat 16x1+24 1000.0(0)/mV 16 0 68 26784 0 V1
E08763.mat 16x1+24 1000.0(0)/mV 16 0 58 17733 0 V2
E08763.mat 16x1+24 1000.0(0)/mV 16 0 -107 336 0 V3
E08763.mat 16x1+24 1000.0(0)/mV 16 0 -39 3638 0 V4
E08763.mat 16x1+24 1000.0(0)/mV 16 0 -68 -10790 0 V5
E08763.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10201 0 V6
# Age: 73
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown