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

File: <base>/training/cpsc_2018_extra/g4/Q3532.hea (706 bytes) 
Q3532 12 500 7000
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 458 -3032 0 I
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 277 -1061 0 II
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 -181 1971 0 III
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 -367 1458 0 aVR
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 319 -1528 0 aVL
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 48 -7 0 aVF
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 -219 2784 0 V1
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 192 1155 0 V2
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 254 2327 0 V3
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 564 -403 0 V4
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 478 672 0 V5
Q3532.mat 16x1+24 1000.0(0)/mV 16 0 314 -2420 0 V6
# Age: 80
# Sex: Female
# Dx: 164930006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown