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

File: <base>/training/cpsc_2018/g4/A3309.hea (720 bytes) 
A3309 12 500 10500
A3309.mat 16x1+24 1000.0(0)/mV 16 0 204 -448 0 I
A3309.mat 16x1+24 1000.0(0)/mV 16 0 279 4999 0 II
A3309.mat 16x1+24 1000.0(0)/mV 16 0 74 -5053 0 III
A3309.mat 16x1+24 1000.0(0)/mV 16 0 -241 -4330 0 aVR
A3309.mat 16x1+24 1000.0(0)/mV 16 0 64 -3942 0 aVL
A3309.mat 16x1+24 1000.0(0)/mV 16 0 176 -4150 0 aVF
A3309.mat 16x1+24 1000.0(0)/mV 16 0 279 3629 0 V1
A3309.mat 16x1+24 1000.0(0)/mV 16 0 1024 -4272 0 V2
A3309.mat 16x1+24 1000.0(0)/mV 16 0 1062 1843 0 V3
A3309.mat 16x1+24 1000.0(0)/mV 16 0 861 -90 0 V4
A3309.mat 16x1+24 1000.0(0)/mV 16 0 664 -3524 0 V5
A3309.mat 16x1+24 1000.0(0)/mV 16 0 568 4702 0 V6
# Age: 77
# Sex: Female
# Dx: 164889003,164909002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown