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

File: <base>/training/cpsc_2018_extra/g1/Q0037.hea (730 bytes) 
Q0037 12 500 13500
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 -163 -5959 0 I
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 -42 -4466 0 II
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 121 1493 0 III
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 102 -2903 0 aVR
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 -142 -1299 0 aVL
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 40 3824 0 aVF
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 259 4360 0 V1
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 327 -1860 0 V2
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 317 -6169 0 V3
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 681 4387 0 V4
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 -141 2454 0 V5
Q0037.mat 16x1+24 1000.0(0)/mV 16 0 537 4527 0 V6
# Age: 76
# Sex: Male
# Dx: 427172004,164889003,428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown