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

File: <base>/training/cpsc_2018_extra/g1/Q0982.hea (717 bytes) 
Q0982 12 500 12500
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -30 -975 0 I
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -39 4410 0 II
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -9 5385 0 III
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 35 3293 0 aVR
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -10 -3239 0 aVL
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -24 -55 0 aVF
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -59 -5509 0 V1
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -22 5234 0 V2
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -73 -1432 0 V3
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -103 -4961 0 V4
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -112 -2839 0 V5
Q0982.mat 16x1+24 1000.0(0)/mV 16 0 -169 3308 0 V6
# Age: 67
# Sex: Male
# Dx: 428750005,426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown