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

File: <base>/training/georgia/g10/E09350.hea (704 bytes) 
E09350 12 500 5000
E09350.mat 16x1+24 1000.0(0)/mV 16 0 -29 28040 0 I
E09350.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19279 0 II
E09350.mat 16x1+24 1000.0(0)/mV 16 0 0 18790 0 III
E09350.mat 16x1+24 1000.0(0)/mV 16 0 29 -4323 0 aVR
E09350.mat 16x1+24 1000.0(0)/mV 16 0 -14 4406 0 aVL
E09350.mat 16x1+24 1000.0(0)/mV 16 0 -14 -278 0 aVF
E09350.mat 16x1+24 1000.0(0)/mV 16 0 68 -20273 0 V1
E09350.mat 16x1+24 1000.0(0)/mV 16 0 9 -18717 0 V2
E09350.mat 16x1+24 1000.0(0)/mV 16 0 0 7594 0 V3
E09350.mat 16x1+24 1000.0(0)/mV 16 0 -19 4626 0 V4
E09350.mat 16x1+24 1000.0(0)/mV 16 0 -87 -7588 0 V5
E09350.mat 16x1+24 1000.0(0)/mV 16 0 -146 14369 0 V6
# Age: 23
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown