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

File: <base>/training/georgia/g10/E09734.hea (754 bytes) 
E09734 12 500 5000
E09734.mat 16x1+24 1000.0(0)/mV 16 0 78 28179 0 I
E09734.mat 16x1+24 1000.0(0)/mV 16 0 78 6706 0 II
E09734.mat 16x1+24 1000.0(0)/mV 16 0 0 -21986 0 III
E09734.mat 16x1+24 1000.0(0)/mV 16 0 -78 -17460 0 aVR
E09734.mat 16x1+24 1000.0(0)/mV 16 0 39 -7633 0 aVL
E09734.mat 16x1+24 1000.0(0)/mV 16 0 39 25634 0 aVF
E09734.mat 16x1+24 1000.0(0)/mV 16 0 -78 -16502 0 V1
E09734.mat 16x1+24 1000.0(0)/mV 16 0 -48 -27636 0 V2
E09734.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11854 0 V3
E09734.mat 16x1+24 1000.0(0)/mV 16 0 -78 -10104 0 V4
E09734.mat 16x1+24 1000.0(0)/mV 16 0 -78 31836 0 V5
E09734.mat 16x1+24 1000.0(0)/mV 16 0 -117 -29368 0 V6
# Age: 73
# Sex: Female
# Dx: 428750005,425419005,164934002,59931005,164917005
# Rx: Unknown
# Hx: Unknown