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

File: <base>/training/georgia/g10/E09705.hea (715 bytes) 
E09705 12 500 5000
E09705.mat 16x1+24 1000.0(0)/mV 16 0 -9 -17152 0 I
E09705.mat 16x1+24 1000.0(0)/mV 16 0 -39 -28699 0 II
E09705.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11075 0 III
E09705.mat 16x1+24 1000.0(0)/mV 16 0 24 -9699 0 aVR
E09705.mat 16x1+24 1000.0(0)/mV 16 0 9 29586 0 aVL
E09705.mat 16x1+24 1000.0(0)/mV 16 0 -34 -20010 0 aVF
E09705.mat 16x1+24 1000.0(0)/mV 16 0 -312 -27944 0 V1
E09705.mat 16x1+24 1000.0(0)/mV 16 0 -331 -19993 0 V2
E09705.mat 16x1+24 1000.0(0)/mV 16 0 -29 4564 0 V3
E09705.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15873 0 V4
E09705.mat 16x1+24 1000.0(0)/mV 16 0 29 3027 0 V5
E09705.mat 16x1+24 1000.0(0)/mV 16 0 -68 -20636 0 V6
# Age: 62
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown