An autoregressive model-based particle filtering algorithms for extraction of respiratory rates as high as 90 breaths per minute from pulse oximeter
We present particle filtering (PF) algorithms for an accurate respiratory rate extraction from
pulse oximeter recordings over a broad range: 12-90 breaths/min. These methods are …
pulse oximeter recordings over a broad range: 12-90 breaths/min. These methods are …
Intracranial pressure waves: characterization of a pulsation absorber with notch filter properties using systems analysis
R Zou, EH Park, EMC Kelly, M Egnor… - Journal of …, 2008 - thejns.org
Object The relationship between the waveform of intracranial pressure (ICP) and arterial
blood pressure can be quantitatively characterized using a newly developed technique in …
blood pressure can be quantitatively characterized using a newly developed technique in …
Respiratory rate extraction via an autoregressive model using the optimal parameter search criterion
We present an autoregressive model-based method which enables accurate respiratory rate
extraction from pulse oximeter recordings over a wide range: 12–48 breaths/min. The …
extraction from pulse oximeter recordings over a wide range: 12–48 breaths/min. The …
Respiratory rate extraction from pulse oximeter and electrocardiographic recordings
We present an algorithm of respiratory rate extraction using particle filter (PF), which is
applicable to both photoplethysmogram (PPG) and electrocardiogram (ECG) signals. For the …
applicable to both photoplethysmogram (PPG) and electrocardiogram (ECG) signals. For the …
Closed-loop nonlinear system identification via the vector optimal parameter search algorithm: application to heart rate baroreflex control
H Wang, K Ju, KH Chon - Medical engineering & physics, 2007 - Elsevier
The vector optimal parameter search (VOPS) and the constrained optimal parameter search
(COPS) are recently developed algorithms for closed-loop linear system identification. We …
(COPS) are recently developed algorithms for closed-loop linear system identification. We …
[PDF][PDF] DESTEK VEKTÖR MAKİNELERİ İLE TAHMİNE DAYALI MODELLEME VE BİR UYGULAMA
YMHİ ERDAL, A BARAY - 2011 - nek.istanbul.edu.tr
Bu tezin hazırlanmasında ve akademik çalışmalarım esnasında yapmış oldukları katkılardan
ötürü aşağıda ismini zikredeceğim kişilere sonsuz teşekkürü bir borç bilmekteyim. Her …
ötürü aşağıda ismini zikredeceğim kişilere sonsuz teşekkürü bir borç bilmekteyim. Her …
Robust estimation of partial directed coherence by the vector optimal parameter search algorithm
S Erla, L Faes, G Nollo - 2009 4th International IEEE/EMBS …, 2009 - ieeexplore.ieee.org
We propose a method for the accurate estimation of Partial Directed Coherence (PDC) from
multichannel time series. The method is based on multivariate vector autoregressive …
multichannel time series. The method is based on multivariate vector autoregressive …
[PDF][PDF] Wavelet Based Identification of Second Order Linear System
S Majumdar, H Parthasarathy - International Journal of Electronics and …, 2009 - Citeseer
In this paper, a wavelet based method is proposed to identify the constant coefficients of a
second order linear system and is compared with the least squares method. The proposed …
second order linear system and is compared with the least squares method. The proposed …
Computational Methods for the Assessment of Brain Connectivity in Visuo-Motor Integration Processes
S Erla - 2011 - eprints-phd.biblio.unitn.it
The identification of the networks connecting different brain areas, as well as the
understanding of their role in executing complex behavioral tasks, are crucial issues in …
understanding of their role in executing complex behavioral tasks, are crucial issues in …
Closed-loop nonlinear system identification using the vector optimal parameter search algorithm
H Wang, K Ju, KH Chon - … of the IEEE Engineering in Medicine …, 2003 - ieeexplore.ieee.org
The vector optimal parameter search (VOPS) and the constrained optimal parameter search
(COPS) are recently developed algorithms for closed-loop linear system identification. We …
(COPS) are recently developed algorithms for closed-loop linear system identification. We …