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

File: <base>/training/georgia/g10/E09793.hea (731 bytes) 
E09793 12 500 5000
E09793.mat 16x1+24 1000.0(0)/mV 16 0 19 -2432 0 I
E09793.mat 16x1+24 1000.0(0)/mV 16 0 29 -21434 0 II
E09793.mat 16x1+24 1000.0(0)/mV 16 0 9 -18547 0 III
E09793.mat 16x1+24 1000.0(0)/mV 16 0 -24 -20934 0 aVR
E09793.mat 16x1+24 1000.0(0)/mV 16 0 4 -24490 0 aVL
E09793.mat 16x1+24 1000.0(0)/mV 16 0 19 -20026 0 aVF
E09793.mat 16x1+24 1000.0(0)/mV 16 0 -87 -16651 0 V1
E09793.mat 16x1+24 1000.0(0)/mV 16 0 -78 -8749 0 V2
E09793.mat 16x1+24 1000.0(0)/mV 16 0 -39 31306 0 V3
E09793.mat 16x1+24 1000.0(0)/mV 16 0 -29 32574 0 V4
E09793.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30750 0 V5
E09793.mat 16x1+24 1000.0(0)/mV 16 0 -19 18614 0 V6
# Age: 61
# Sex: Male
# Dx: 428750005,427084000,59931005
# Rx: Unknown
# Hx: Unknown