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

File: <base>/training/georgia/g10/E09935.hea (717 bytes) 
E09935 12 500 5000
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6829 0 I
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -63 -21932 0 II
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -14 -14941 0 III
E09935.mat 16x1+24 1000.0(0)/mV 16 0 56 -18513 0 aVR
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -17 -28998 0 aVL
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -39 -18634 0 aVF
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19209 0 V1
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -43 13559 0 V2
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -43 16323 0 V3
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -48 -17758 0 V4
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3926 0 V5
E09935.mat 16x1+24 1000.0(0)/mV 16 0 -34 1685 0 V6
# Age: NaN
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown