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

File: <base>/training/cpsc_2018/g5/A4332.hea (680 bytes) 
A4332 12 500 5000
A4332.mat 16x1+24 1000.0(0)/mV 16 0 -76 26 0 I
A4332.mat 16x1+24 1000.0(0)/mV 16 0 7 -11 0 II
A4332.mat 16x1+24 1000.0(0)/mV 16 0 83 -16 0 III
A4332.mat 16x1+24 1000.0(0)/mV 16 0 34 -25 0 aVR
A4332.mat 16x1+24 1000.0(0)/mV 16 0 -79 -33 0 aVL
A4332.mat 16x1+24 1000.0(0)/mV 16 0 44 -15 0 aVF
A4332.mat 16x1+24 1000.0(0)/mV 16 0 -5 -25 0 V1
A4332.mat 16x1+24 1000.0(0)/mV 16 0 -55 -45 0 V2
A4332.mat 16x1+24 1000.0(0)/mV 16 0 -57 15 0 V3
A4332.mat 16x1+24 1000.0(0)/mV 16 0 -71 -40 0 V4
A4332.mat 16x1+24 1000.0(0)/mV 16 0 -61 18 0 V5
A4332.mat 16x1+24 1000.0(0)/mV 16 0 -43 6 0 V6
# Age: 24
# Sex: Female
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown