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

File: <base>/training/cpsc_2018/g5/A4972.hea (679 bytes) 
A4972 12 500 19553
A4972.mat 16x1+24 1000.0(0)/mV 16 0 -1 65 0 I
A4972.mat 16x1+24 1000.0(0)/mV 16 0 -15 -51 0 II
A4972.mat 16x1+24 1000.0(0)/mV 16 0 -13 -51 0 III
A4972.mat 16x1+24 1000.0(0)/mV 16 0 8 -53 0 aVR
A4972.mat 16x1+24 1000.0(0)/mV 16 0 6 -20 0 aVL
A4972.mat 16x1+24 1000.0(0)/mV 16 0 -13 31 0 aVF
A4972.mat 16x1+24 1000.0(0)/mV 16 0 6 -11 0 V1
A4972.mat 16x1+24 1000.0(0)/mV 16 0 68 -26 0 V2
A4972.mat 16x1+24 1000.0(0)/mV 16 0 -16 -44 0 V3
A4972.mat 16x1+24 1000.0(0)/mV 16 0 -14 -3 0 V4
A4972.mat 16x1+24 1000.0(0)/mV 16 0 -129 19 0 V5
A4972.mat 16x1+24 1000.0(0)/mV 16 0 -179 17 0 V6
# Age: 62
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown