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

File: <base>/training/georgia/g10/E09556.hea (735 bytes) 
E09556 12 500 5000
E09556.mat 16x1+24 1000.0(0)/mV 16 0 -9 -11634 0 I
E09556.mat 16x1+24 1000.0(0)/mV 16 0 -24 10094 0 II
E09556.mat 16x1+24 1000.0(0)/mV 16 0 -14 22065 0 III
E09556.mat 16x1+24 1000.0(0)/mV 16 0 17 697 0 aVR
E09556.mat 16x1+24 1000.0(0)/mV 16 0 2 -17092 0 aVL
E09556.mat 16x1+24 1000.0(0)/mV 16 0 -19 16119 0 aVF
E09556.mat 16x1+24 1000.0(0)/mV 16 0 19 18095 0 V1
E09556.mat 16x1+24 1000.0(0)/mV 16 0 -87 16083 0 V2
E09556.mat 16x1+24 1000.0(0)/mV 16 0 -34 7242 0 V3
E09556.mat 16x1+24 1000.0(0)/mV 16 0 9 28858 0 V4
E09556.mat 16x1+24 1000.0(0)/mV 16 0 34 -30063 0 V5
E09556.mat 16x1+24 1000.0(0)/mV 16 0 14 -3720 0 V6
# Age: 58
# Sex: Female
# Dx: 164873001,428750005,164934002,164921003
# Rx: Unknown
# Hx: Unknown