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

File: <base>/training/georgia/g10/E09180.hea (714 bytes) 
E09180 12 500 5000
E09180.mat 16x1+24 1000.0(0)/mV 16 0 9 -16511 0 I
E09180.mat 16x1+24 1000.0(0)/mV 16 0 78 -29797 0 II
E09180.mat 16x1+24 1000.0(0)/mV 16 0 68 -12814 0 III
E09180.mat 16x1+24 1000.0(0)/mV 16 0 -43 -9957 0 aVR
E09180.mat 16x1+24 1000.0(0)/mV 16 0 -29 -2275 0 aVL
E09180.mat 16x1+24 1000.0(0)/mV 16 0 73 11320 0 aVF
E09180.mat 16x1+24 1000.0(0)/mV 16 0 -439 -29044 0 V1
E09180.mat 16x1+24 1000.0(0)/mV 16 0 -946 -16784 0 V2
E09180.mat 16x1+24 1000.0(0)/mV 16 0 -653 18083 0 V3
E09180.mat 16x1+24 1000.0(0)/mV 16 0 -419 23415 0 V4
E09180.mat 16x1+24 1000.0(0)/mV 16 0 -165 3908 0 V5
E09180.mat 16x1+24 1000.0(0)/mV 16 0 0 24215 0 V6
# Age: 50
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown