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

File: <base>/training/georgia/g10/E09781.hea (707 bytes) 
E09781 12 500 5000
E09781.mat 16x1+24 1000.0(0)/mV 16 0 117 -7135 0 I
E09781.mat 16x1+24 1000.0(0)/mV 16 0 87 739 0 II
E09781.mat 16x1+24 1000.0(0)/mV 16 0 -29 7973 0 III
E09781.mat 16x1+24 1000.0(0)/mV 16 0 -102 3111 0 aVR
E09781.mat 16x1+24 1000.0(0)/mV 16 0 73 -7380 0 aVL
E09781.mat 16x1+24 1000.0(0)/mV 16 0 29 4341 0 aVF
E09781.mat 16x1+24 1000.0(0)/mV 16 0 117 23805 0 V1
E09781.mat 16x1+24 1000.0(0)/mV 16 0 29 20293 0 V2
E09781.mat 16x1+24 1000.0(0)/mV 16 0 9 -4194 0 V3
E09781.mat 16x1+24 1000.0(0)/mV 16 0 48 22759 0 V4
E09781.mat 16x1+24 1000.0(0)/mV 16 0 9 5806 0 V5
E09781.mat 16x1+24 1000.0(0)/mV 16 0 -39 2052 0 V6
# Age: 68
# Sex: Male
# Dx: 270492004,426177001
# Rx: Unknown
# Hx: Unknown