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

File: <base>/training/cpsc_2018/g4/A3772.hea (699 bytes) 
A3772 12 500 7500
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -21 460 0 I
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -27 128 0 II
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -6 -332 0 III
A3772.mat 16x1+24 1000.0(0)/mV 16 0 24 3356 0 aVR
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -7 -203 0 aVL
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -17 -3295 0 aVF
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -32 2828 0 V1
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -27 -3695 0 V2
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -17 -495 0 V3
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -36 2144 0 V4
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -11 -3119 0 V5
A3772.mat 16x1+24 1000.0(0)/mV 16 0 -41 -1278 0 V6
# Age: 72
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown