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

File: <base>/training/cpsc_2018/g4/A3982.hea (689 bytes) 
A3982 12 500 18003
A3982.mat 16x1+24 1000.0(0)/mV 16 0 536 64 0 I
A3982.mat 16x1+24 1000.0(0)/mV 16 0 144 87 0 II
A3982.mat 16x1+24 1000.0(0)/mV 16 0 -392 -6 0 III
A3982.mat 16x1+24 1000.0(0)/mV 16 0 -340 -20 0 aVR
A3982.mat 16x1+24 1000.0(0)/mV 16 0 464 -27 0 aVL
A3982.mat 16x1+24 1000.0(0)/mV 16 0 -124 -23 0 aVF
A3982.mat 16x1+24 1000.0(0)/mV 16 0 -369 -98 0 V1
A3982.mat 16x1+24 1000.0(0)/mV 16 0 128 -15 0 V2
A3982.mat 16x1+24 1000.0(0)/mV 16 0 603 61 0 V3
A3982.mat 16x1+24 1000.0(0)/mV 16 0 762 98 0 V4
A3982.mat 16x1+24 1000.0(0)/mV 16 0 650 10 0 V5
A3982.mat 16x1+24 1000.0(0)/mV 16 0 494 31 0 V6
# Age: 58
# Sex: Female
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown