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

File: <base>/training/cpsc_2018_extra/g1/Q0932.hea (678 bytes) 
Q0932 12 500 5000
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 -78 5 0 I
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 -54 12 0 II
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 24 5 0 III
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 66 -48 0 aVR
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 -50 28 0 aVL
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 -16 31 0 aVF
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 12 -22 0 V1
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 -118 58 0 V2
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 -113 21 0 V3
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 -187 16 0 V4
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 -104 51 0 V5
Q0932.mat 16x1+24 1000.0(0)/mV 16 0 -106 6 0 V6
# Age: 52
# Sex: Male
# Dx: 164930006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown