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

File: <base>/training/georgia/g10/E09552.hea (711 bytes) 
E09552 12 500 5000
E09552.mat 16x1+24 1000.0(0)/mV 16 0 9 -993 0 I
E09552.mat 16x1+24 1000.0(0)/mV 16 0 19 26235 0 II
E09552.mat 16x1+24 1000.0(0)/mV 16 0 9 27714 0 III
E09552.mat 16x1+24 1000.0(0)/mV 16 0 -14 -12396 0 aVR
E09552.mat 16x1+24 1000.0(0)/mV 16 0 0 18629 0 aVL
E09552.mat 16x1+24 1000.0(0)/mV 16 0 14 -5749 0 aVF
E09552.mat 16x1+24 1000.0(0)/mV 16 0 -190 16399 0 V1
E09552.mat 16x1+24 1000.0(0)/mV 16 0 -283 4821 0 V2
E09552.mat 16x1+24 1000.0(0)/mV 16 0 -112 4567 0 V3
E09552.mat 16x1+24 1000.0(0)/mV 16 0 -239 -16353 0 V4
E09552.mat 16x1+24 1000.0(0)/mV 16 0 -102 -20321 0 V5
E09552.mat 16x1+24 1000.0(0)/mV 16 0 -146 -18815 0 V6
# Age: 68
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown