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

File: <base>/training/georgia/g10/E09539.hea (716 bytes) 
E09539 12 500 5000
E09539.mat 16x1+24 1000.0(0)/mV 16 0 146 21181 0 I
E09539.mat 16x1+24 1000.0(0)/mV 16 0 97 29076 0 II
E09539.mat 16x1+24 1000.0(0)/mV 16 0 -48 7670 0 III
E09539.mat 16x1+24 1000.0(0)/mV 16 0 -122 7348 0 aVR
E09539.mat 16x1+24 1000.0(0)/mV 16 0 97 6728 0 aVL
E09539.mat 16x1+24 1000.0(0)/mV 16 0 24 -14419 0 aVF
E09539.mat 16x1+24 1000.0(0)/mV 16 0 -39 617 0 V1
E09539.mat 16x1+24 1000.0(0)/mV 16 0 -9 14084 0 V2
E09539.mat 16x1+24 1000.0(0)/mV 16 0 -39 -21389 0 V3
E09539.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4497 0 V4
E09539.mat 16x1+24 1000.0(0)/mV 16 0 -48 16921 0 V5
E09539.mat 16x1+24 1000.0(0)/mV 16 0 -146 17642 0 V6
# Age: 62
# Sex: Male
# Dx: 55930002,164930006
# Rx: Unknown
# Hx: Unknown