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

File: <base>/training/cpsc_2018/g2/A1642.hea (681 bytes) 
A1642 12 500 5000
A1642.mat 16x1+24 1000.0(0)/mV 16 0 49 -11 0 I
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -45 -20 0 II
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -94 25 0 III
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -1 -36 0 aVR
A1642.mat 16x1+24 1000.0(0)/mV 16 0 72 1 0 aVL
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -69 25 0 aVF
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -37 -46 0 V1
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -111 18 0 V2
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -115 10 0 V3
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -114 -2 0 V4
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -94 -7 0 V5
A1642.mat 16x1+24 1000.0(0)/mV 16 0 -53 5 0 V6
# Age: 52
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown