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

File: <base>/training/georgia/g10/E09671.hea (724 bytes) 
E09671 12 500 5000
E09671.mat 16x1+24 1000.0(0)/mV 16 0 -48 16675 0 I
E09671.mat 16x1+24 1000.0(0)/mV 16 0 -48 18 0 II
E09671.mat 16x1+24 1000.0(0)/mV 16 0 0 -15903 0 III
E09671.mat 16x1+24 1000.0(0)/mV 16 0 48 24510 0 aVR
E09671.mat 16x1+24 1000.0(0)/mV 16 0 -24 16656 0 aVL
E09671.mat 16x1+24 1000.0(0)/mV 16 0 -24 25034 0 aVF
E09671.mat 16x1+24 1000.0(0)/mV 16 0 97 -2933 0 V1
E09671.mat 16x1+24 1000.0(0)/mV 16 0 29 483 0 V2
E09671.mat 16x1+24 1000.0(0)/mV 16 0 -39 -21541 0 V3
E09671.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13324 0 V4
E09671.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3039 0 V5
E09671.mat 16x1+24 1000.0(0)/mV 16 0 -48 18323 0 V6
# Age: 48
# Sex: Male
# Dx: 428750005,59931005,164934002
# Rx: Unknown
# Hx: Unknown