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

File: <base>/training/cpsc_2018/g7/A6509.hea (698 bytes) 
A6509 12 500 7000
A6509.mat 16x1+24 1000.0(0)/mV 16 0 -1 3399 0 I
A6509.mat 16x1+24 1000.0(0)/mV 16 0 -12 -930 0 II
A6509.mat 16x1+24 1000.0(0)/mV 16 0 -10 2671 0 III
A6509.mat 16x1+24 1000.0(0)/mV 16 0 7 1636 0 aVR
A6509.mat 16x1+24 1000.0(0)/mV 16 0 5 3103 0 aVL
A6509.mat 16x1+24 1000.0(0)/mV 16 0 -11 895 0 aVF
A6509.mat 16x1+24 1000.0(0)/mV 16 0 -166 -3337 0 V1
A6509.mat 16x1+24 1000.0(0)/mV 16 0 -164 1826 0 V2
A6509.mat 16x1+24 1000.0(0)/mV 16 0 20 -3435 0 V3
A6509.mat 16x1+24 1000.0(0)/mV 16 0 -10 2710 0 V4
A6509.mat 16x1+24 1000.0(0)/mV 16 0 12 -720 0 V5
A6509.mat 16x1+24 1000.0(0)/mV 16 0 -7 1394 0 V6
# Age: 81
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown