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

File: <base>/training/cpsc_2018/g1/A0091.hea (702 bytes) 
A0091 12 500 7500
A0091.mat 16x1+24 1000.0(0)/mV 16 0 61 1340 0 I
A0091.mat 16x1+24 1000.0(0)/mV 16 0 43 865 0 II
A0091.mat 16x1+24 1000.0(0)/mV 16 0 -18 -475 0 III
A0091.mat 16x1+24 1000.0(0)/mV 16 0 -51 2430 0 aVR
A0091.mat 16x1+24 1000.0(0)/mV 16 0 39 2148 0 aVL
A0091.mat 16x1+24 1000.0(0)/mV 16 0 12 -2677 0 aVF
A0091.mat 16x1+24 1000.0(0)/mV 16 0 185 671 0 V1
A0091.mat 16x1+24 1000.0(0)/mV 16 0 463 -364 0 V2
A0091.mat 16x1+24 1000.0(0)/mV 16 0 503 -3593 0 V3
A0091.mat 16x1+24 1000.0(0)/mV 16 0 723 -1302 0 V4
A0091.mat 16x1+24 1000.0(0)/mV 16 0 696 -3660 0 V5
A0091.mat 16x1+24 1000.0(0)/mV 16 0 634 -1012 0 V6
# Age: 78
# Sex: Female
# Dx: 284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown