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

File: <base>/training/cpsc_2018_extra/g1/Q0922.hea (705 bytes) 
Q0922 12 500 7000
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -80 2602 0 I
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -76 -1206 0 II
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 5 3192 0 III
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 78 -1366 0 aVR
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -42 -610 0 aVL
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -35 1076 0 aVF
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -31 190 0 V1
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -138 1516 0 V2
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -251 -2362 0 V3
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -277 451 0 V4
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -150 -920 0 V5
Q0922.mat 16x1+24 1000.0(0)/mV 16 0 -127 -1046 0 V6
# Age: 83
# Sex: Male
# Dx: 164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown