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

File: <base>/training/georgia/g5/E04509.hea (712 bytes) 
E04509 12 500 5000
E04509.mat 16x1+24 1000.0(0)/mV 16 0 -78 -19372 0 I
E04509.mat 16x1+24 1000.0(0)/mV 16 0 -53 3701 0 II
E04509.mat 16x1+24 1000.0(0)/mV 16 0 24 23475 0 III
E04509.mat 16x1+24 1000.0(0)/mV 16 0 65 7780 0 aVR
E04509.mat 16x1+24 1000.0(0)/mV 16 0 -51 11836 0 aVL
E04509.mat 16x1+24 1000.0(0)/mV 16 0 -14 -19054 0 aVF
E04509.mat 16x1+24 1000.0(0)/mV 16 0 34 19728 0 V1
E04509.mat 16x1+24 1000.0(0)/mV 16 0 -170 -1500 0 V2
E04509.mat 16x1+24 1000.0(0)/mV 16 0 -24 29943 0 V3
E04509.mat 16x1+24 1000.0(0)/mV 16 0 -63 -22280 0 V4
E04509.mat 16x1+24 1000.0(0)/mV 16 0 -68 8865 0 V5
E04509.mat 16x1+24 1000.0(0)/mV 16 0 -107 -20575 0 V6
# Age: 69
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown