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

File: <base>/training/cpsc_2018/g6/A5115.hea (690 bytes) 
A5115 12 500 5000
A5115.mat 16x1+24 1000.0(0)/mV 16 0 -176 9 0 I
A5115.mat 16x1+24 1000.0(0)/mV 16 0 -192 -21 0 II
A5115.mat 16x1+24 1000.0(0)/mV 16 0 -16 7 0 III
A5115.mat 16x1+24 1000.0(0)/mV 16 0 184 2 0 aVR
A5115.mat 16x1+24 1000.0(0)/mV 16 0 -80 2 0 aVL
A5115.mat 16x1+24 1000.0(0)/mV 16 0 -103 30 0 aVF
A5115.mat 16x1+24 1000.0(0)/mV 16 0 369 39 0 V1
A5115.mat 16x1+24 1000.0(0)/mV 16 0 359 22 0 V2
A5115.mat 16x1+24 1000.0(0)/mV 16 0 24 -10 0 V3
A5115.mat 16x1+24 1000.0(0)/mV 16 0 -364 -25 0 V4
A5115.mat 16x1+24 1000.0(0)/mV 16 0 -386 5 0 V5
A5115.mat 16x1+24 1000.0(0)/mV 16 0 -362 -17 0 V6
# Age: 66
# Sex: Male
# Dx: 164889003,59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown