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

File: <base>/training/cpsc_2018/g2/A1792.hea (670 bytes) 
A1792 12 500 5000
A1792.mat 16x1+24 1000.0(0)/mV 16 0 10 -23 0 I
A1792.mat 16x1+24 1000.0(0)/mV 16 0 -10 -14 0 II
A1792.mat 16x1+24 1000.0(0)/mV 16 0 -20 30 0 III
A1792.mat 16x1+24 1000.0(0)/mV 16 0 1 19 0 aVR
A1792.mat 16x1+24 1000.0(0)/mV 16 0 14 -49 0 aVL
A1792.mat 16x1+24 1000.0(0)/mV 16 0 -15 20 0 aVF
A1792.mat 16x1+24 1000.0(0)/mV 16 0 8 59 0 V1
A1792.mat 16x1+24 1000.0(0)/mV 16 0 4 42 0 V2
A1792.mat 16x1+24 1000.0(0)/mV 16 0 39 8 0 V3
A1792.mat 16x1+24 1000.0(0)/mV 16 0 23 -24 0 V4
A1792.mat 16x1+24 1000.0(0)/mV 16 0 -28 -30 0 V5
A1792.mat 16x1+24 1000.0(0)/mV 16 0 6 -32 0 V6
# Age: 76
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown