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

File: <base>/training/georgia/g10/E09694.hea (728 bytes) 
E09694 12 500 5000
E09694.mat 16x1+24 1000.0(0)/mV 16 0 -19 23363 0 I
E09694.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25563 0 II
E09694.mat 16x1+24 1000.0(0)/mV 16 0 -19 17291 0 III
E09694.mat 16x1+24 1000.0(0)/mV 16 0 29 -31799 0 aVR
E09694.mat 16x1+24 1000.0(0)/mV 16 0 0 -29999 0 aVL
E09694.mat 16x1+24 1000.0(0)/mV 16 0 -29 -4254 0 aVF
E09694.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14086 0 V1
E09694.mat 16x1+24 1000.0(0)/mV 16 0 58 -26548 0 V2
E09694.mat 16x1+24 1000.0(0)/mV 16 0 29 210 0 V3
E09694.mat 16x1+24 1000.0(0)/mV 16 0 48 -27987 0 V4
E09694.mat 16x1+24 1000.0(0)/mV 16 0 -68 17896 0 V5
E09694.mat 16x1+24 1000.0(0)/mV 16 0 9 -27861 0 V6
# Age: 75
# Sex: Male
# Dx: 427393009,425623009,164934002
# Rx: Unknown
# Hx: Unknown