scholarly journals Large-scale bound constrained optimization based on hybrid teaching learning optimization algorithm

2021 ◽  
Vol 60 (6) ◽  
pp. 6013-6033
Author(s):  
Wali Khan Mashwani ◽  
Habib Shah ◽  
Manjit Kaur ◽  
Maharani Abu Bakar ◽  
Miftahuddin Miftahuddin
Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2254 ◽  
Author(s):  
Ting Zhang ◽  
Julien Sarrazin ◽  
Guido Valerio ◽  
Dan Istrate

In this study, a bound-constrained optimization algorithm is applied for estimating physiological data (pulse and breathing rate) of human body using 60 GHz Doppler radar, by detecting displacements induced by breathing and the heartbeat of a human subject. The influence of mutual phasing between the two movements is analyzed in a theoretical framework and the application of optimization algorithms is proved to be able to accurately detect both breathing and heartbeat rates, despite intermodulation effects between them. Different optimization procedures are compared and shown to be more robust to receiver noise and artifacts of random body motion than a direct spectrum analysis. In case of a large-scale constrained bound, a parallel optimization procedure executed in subranges is proposed to realize accurate detection in a reduced span of time.


Sign in / Sign up

Export Citation Format

Share Document