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

File: <base>/training/cpsc_2018/g4/A3672.hea (704 bytes) 
A3672 12 500 5000
A3672.mat 16x1+24 1000.0(0)/mV 16 0 -62 -1935 0 I
A3672.mat 16x1+24 1000.0(0)/mV 16 0 -132 -1768 0 II
A3672.mat 16x1+24 1000.0(0)/mV 16 0 -70 167 0 III
A3672.mat 16x1+24 1000.0(0)/mV 16 0 97 1755 0 aVR
A3672.mat 16x1+24 1000.0(0)/mV 16 0 5 2368 0 aVL
A3672.mat 16x1+24 1000.0(0)/mV 16 0 -100 1281 0 aVF
A3672.mat 16x1+24 1000.0(0)/mV 16 0 604 369 0 V1
A3672.mat 16x1+24 1000.0(0)/mV 16 0 968 -2284 0 V2
A3672.mat 16x1+24 1000.0(0)/mV 16 0 1574 -1992 0 V3
A3672.mat 16x1+24 1000.0(0)/mV 16 0 972 -987 0 V4
A3672.mat 16x1+24 1000.0(0)/mV 16 0 213 -912 0 V5
A3672.mat 16x1+24 1000.0(0)/mV 16 0 -325 -700 0 V6
# Age: 67
# Sex: Male
# Dx: 164909002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown