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

File: <base>/training/georgia/g10/E09686.hea (707 bytes) 
E09686 12 500 5000
E09686.mat 16x1+24 1000.0(0)/mV 16 0 -48 -26678 0 I
E09686.mat 16x1+24 1000.0(0)/mV 16 0 19 16299 0 II
E09686.mat 16x1+24 1000.0(0)/mV 16 0 68 -22560 0 III
E09686.mat 16x1+24 1000.0(0)/mV 16 0 14 4934 0 aVR
E09686.mat 16x1+24 1000.0(0)/mV 16 0 -58 -1863 0 aVL
E09686.mat 16x1+24 1000.0(0)/mV 16 0 43 -3248 0 aVF
E09686.mat 16x1+24 1000.0(0)/mV 16 0 87 -10129 0 V1
E09686.mat 16x1+24 1000.0(0)/mV 16 0 97 -2753 0 V2
E09686.mat 16x1+24 1000.0(0)/mV 16 0 58 7061 0 V3
E09686.mat 16x1+24 1000.0(0)/mV 16 0 -19 -5372 0 V4
E09686.mat 16x1+24 1000.0(0)/mV 16 0 -117 20842 0 V5
E09686.mat 16x1+24 1000.0(0)/mV 16 0 -78 31639 0 V6
# Age: 80
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown