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

File: <base>/training/georgia/g10/E09412.hea (733 bytes) 
E09412 12 500 5000
E09412.mat 16x1+24 1000.0(0)/mV 16 0 214 -5594 0 I
E09412.mat 16x1+24 1000.0(0)/mV 16 0 663 19650 0 II
E09412.mat 16x1+24 1000.0(0)/mV 16 0 448 25491 0 III
E09412.mat 16x1+24 1000.0(0)/mV 16 0 -439 -7649 0 aVR
E09412.mat 16x1+24 1000.0(0)/mV 16 0 -117 -16472 0 aVL
E09412.mat 16x1+24 1000.0(0)/mV 16 0 556 22485 0 aVF
E09412.mat 16x1+24 1000.0(0)/mV 16 0 -575 18040 0 V1
E09412.mat 16x1+24 1000.0(0)/mV 16 0 -1044 -3019 0 V2
E09412.mat 16x1+24 1000.0(0)/mV 16 0 -1180 -24730 0 V3
E09412.mat 16x1+24 1000.0(0)/mV 16 0 -97 18350 0 V4
E09412.mat 16x1+24 1000.0(0)/mV 16 0 1337 -17918 0 V5
E09412.mat 16x1+24 1000.0(0)/mV 16 0 1102 3820 0 V6
# Age: 61
# Sex: Male
# Dx: 426177001,164934002
# Rx: Unknown
# Hx: Unknown