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

File: <base>/training/georgia/g11/E10315.hea (720 bytes) 
E10315 12 500 5000
E10315.mat 16x1+24 1000.0(0)/mV 16 0 -39 -29845 0 I
E10315.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15346 0 II
E10315.mat 16x1+24 1000.0(0)/mV 16 0 9 15022 0 III
E10315.mat 16x1+24 1000.0(0)/mV 16 0 34 22615 0 aVR
E10315.mat 16x1+24 1000.0(0)/mV 16 0 -24 -21795 0 aVL
E10315.mat 16x1+24 1000.0(0)/mV 16 0 -9 226 0 aVF
E10315.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14814 0 V1
E10315.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25885 0 V2
E10315.mat 16x1+24 1000.0(0)/mV 16 0 48 13242 0 V3
E10315.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28904 0 V4
E10315.mat 16x1+24 1000.0(0)/mV 16 0 -19 -17958 0 V5
E10315.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9538 0 V6
# Age: 67
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown