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

File: <base>/training/georgia/g10/E09577.hea (719 bytes) 
E09577 12 500 5000
E09577.mat 16x1+24 1000.0(0)/mV 16 0 -107 -11470 0 I
E09577.mat 16x1+24 1000.0(0)/mV 16 0 -19 18597 0 II
E09577.mat 16x1+24 1000.0(0)/mV 16 0 87 30521 0 III
E09577.mat 16x1+24 1000.0(0)/mV 16 0 63 -3372 0 aVR
E09577.mat 16x1+24 1000.0(0)/mV 16 0 -97 11825 0 aVL
E09577.mat 16x1+24 1000.0(0)/mV 16 0 34 -8269 0 aVF
E09577.mat 16x1+24 1000.0(0)/mV 16 0 0 -7600 0 V1
E09577.mat 16x1+24 1000.0(0)/mV 16 0 87 4070 0 V2
E09577.mat 16x1+24 1000.0(0)/mV 16 0 48 -14478 0 V3
E09577.mat 16x1+24 1000.0(0)/mV 16 0 19 -27883 0 V4
E09577.mat 16x1+24 1000.0(0)/mV 16 0 -107 19255 0 V5
E09577.mat 16x1+24 1000.0(0)/mV 16 0 0 -13968 0 V6
# Age: 65
# Sex: Female
# Dx: 428750005,111975006
# Rx: Unknown
# Hx: Unknown