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

File: <base>/training/georgia/g10/E09703.hea (734 bytes) 
E09703 12 500 5000
E09703.mat 16x1+24 1000.0(0)/mV 16 0 156 -24445 0 I
E09703.mat 16x1+24 1000.0(0)/mV 16 0 29 15897 0 II
E09703.mat 16x1+24 1000.0(0)/mV 16 0 -126 -25887 0 III
E09703.mat 16x1+24 1000.0(0)/mV 16 0 -92 -28604 0 aVR
E09703.mat 16x1+24 1000.0(0)/mV 16 0 141 900 0 aVL
E09703.mat 16x1+24 1000.0(0)/mV 16 0 -48 28955 0 aVF
E09703.mat 16x1+24 1000.0(0)/mV 16 0 107 22049 0 V1
E09703.mat 16x1+24 1000.0(0)/mV 16 0 370 -12670 0 V2
E09703.mat 16x1+24 1000.0(0)/mV 16 0 351 27520 0 V3
E09703.mat 16x1+24 1000.0(0)/mV 16 0 244 3461 0 V4
E09703.mat 16x1+24 1000.0(0)/mV 16 0 146 -10411 0 V5
E09703.mat 16x1+24 1000.0(0)/mV 16 0 97 -30187 0 V6
# Age: 48
# Sex: Male
# Dx: 425419005,164934002,164917005
# Rx: Unknown
# Hx: Unknown