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

File: <base>/training/georgia/g10/E09540.hea (718 bytes) 
E09540 12 500 5000
E09540.mat 16x1+24 1000.0(0)/mV 16 0 -19 -22340 0 I
E09540.mat 16x1+24 1000.0(0)/mV 16 0 -107 8431 0 II
E09540.mat 16x1+24 1000.0(0)/mV 16 0 -87 31355 0 III
E09540.mat 16x1+24 1000.0(0)/mV 16 0 63 -25958 0 aVR
E09540.mat 16x1+24 1000.0(0)/mV 16 0 34 5274 0 aVL
E09540.mat 16x1+24 1000.0(0)/mV 16 0 -97 19908 0 aVF
E09540.mat 16x1+24 1000.0(0)/mV 16 0 58 -23054 0 V1
E09540.mat 16x1+24 1000.0(0)/mV 16 0 68 29701 0 V2
E09540.mat 16x1+24 1000.0(0)/mV 16 0 9 29901 0 V3
E09540.mat 16x1+24 1000.0(0)/mV 16 0 -87 15333 0 V4
E09540.mat 16x1+24 1000.0(0)/mV 16 0 -19 30526 0 V5
E09540.mat 16x1+24 1000.0(0)/mV 16 0 -126 7760 0 V6
# Age: 80
# Sex: Male
# Dx: 164890007,164931005
# Rx: Unknown
# Hx: Unknown