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

File: <base>/training/cpsc_2018/g4/A3922.hea (677 bytes) 
A3922 12 500 7500
A3922.mat 16x1+24 1000.0(0)/mV 16 0 -23 8 0 I
A3922.mat 16x1+24 1000.0(0)/mV 16 0 -21 39 0 II
A3922.mat 16x1+24 1000.0(0)/mV 16 0 1 -18 0 III
A3922.mat 16x1+24 1000.0(0)/mV 16 0 21 42 0 aVR
A3922.mat 16x1+24 1000.0(0)/mV 16 0 -12 -25 0 aVL
A3922.mat 16x1+24 1000.0(0)/mV 16 0 -10 23 0 aVF
A3922.mat 16x1+24 1000.0(0)/mV 16 0 141 31 0 V1
A3922.mat 16x1+24 1000.0(0)/mV 16 0 340 67 0 V2
A3922.mat 16x1+24 1000.0(0)/mV 16 0 224 16 0 V3
A3922.mat 16x1+24 1000.0(0)/mV 16 0 71 45 0 V4
A3922.mat 16x1+24 1000.0(0)/mV 16 0 -126 -32 0 V5
A3922.mat 16x1+24 1000.0(0)/mV 16 0 -102 12 0 V6
# Age: 46
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown