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

File: <base>/training/cpsc_2018/g1/A0902.hea (713 bytes) 
A0902 12 500 6500
A0902.mat 16x1+24 1000.0(0)/mV 16 0 -107 -2898 0 I
A0902.mat 16x1+24 1000.0(0)/mV 16 0 -127 1276 0 II
A0902.mat 16x1+24 1000.0(0)/mV 16 0 -21 -2326 0 III
A0902.mat 16x1+24 1000.0(0)/mV 16 0 117 -2921 0 aVR
A0902.mat 16x1+24 1000.0(0)/mV 16 0 -43 -2523 0 aVL
A0902.mat 16x1+24 1000.0(0)/mV 16 0 -73 -127 0 aVF
A0902.mat 16x1+24 1000.0(0)/mV 16 0 364 -2385 0 V1
A0902.mat 16x1+24 1000.0(0)/mV 16 0 419 1479 0 V2
A0902.mat 16x1+24 1000.0(0)/mV 16 0 331 -1907 0 V3
A0902.mat 16x1+24 1000.0(0)/mV 16 0 98 -1403 0 V4
A0902.mat 16x1+24 1000.0(0)/mV 16 0 -131 -2140 0 V5
A0902.mat 16x1+24 1000.0(0)/mV 16 0 -214 570 0 V6
# Age: 80
# Sex: Female
# Dx: 164909002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown