Literature DB >> 26011892

A Review of Wavelet Transform Time-Frequency Methods for NIRS-Based Analysis of Cerebral Autoregulation.

Paul S Addison.   

Abstract

Near-infrared spectroscopy (NIRS) has been proposed as a suitable technique for the analysis of cerebral autoregulation as it provides a simpler acquisition methodology and more artifact-free signal. A number of sophisticated wavelet transform methods have recently emerged to quantify the cerebral autoregulation mechanism using NIRS and blood pressure signals. These provide an enhanced partitioning of signal information via the time-frequency plane, which facilitates improved extraction of the components of interest. This area is reviewed, and enhancements to this form of analysis are suggested.

Mesh:

Year:  2015        PMID: 26011892     DOI: 10.1109/RBME.2015.2436978

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  17 in total

1.  Continuous monitoring of cerebrovascular reactivity through pulse transit time and intracranial pressure.

Authors:  Xiuyun Liu; Kais Gadhoumi; Ran Xiao; Nate Tran; Peter Smielewski; Marek Czosnyka; Steven W Hetts; Nerissa Ko; Xiao Hu
Journal:  Physiol Meas       Date:  2019-01-23       Impact factor: 2.833

Review 2.  Autoregulation in paediatric TBI-current evidence and implications for treatment.

Authors:  Joseph E Donnelly; Adam M H Young; Ken Brady
Journal:  Childs Nerv Syst       Date:  2017-09-06       Impact factor: 1.475

3.  Wavelet pressure reactivity index: a validation study.

Authors:  Xiuyun Liu; Marek Czosnyka; Joseph Donnelly; Danilo Cardim; Manuel Cabeleira; Peter J Hutchinson; Xiao Hu; Peter Smielewski; Ken Brady
Journal:  J Physiol       Date:  2018-06-13       Impact factor: 5.182

4.  Continuous wavelet transform in the study of the time-scale properties of intracranial pressure in hydrocephalus.

Authors:  María García; Jesús Poza; David Santamarta; Roberto Romero-Oraá; Roberto Hornero
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-08-13       Impact factor: 4.226

5.  A Novel Cognitive Function Scale Using Functional Near-Infrared Spectroscopy for Evaluating Cognitive Dysfunction.

Authors:  Shin Nakamura; Satoshi Yomota; Hitomi Ito; Nobuyuki Akinaga; Ayaka Hori; Kenta Chinomi; Hideaki Suzuki; Kazuhiko Uchida; Takashi Asada
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

6.  Modular continuous wavelet processing of biosignals: extracting heart rate and oxygen saturation from a video signal.

Authors:  Paul S Addison
Journal:  Healthc Technol Lett       Date:  2016-04-28

7.  Bifurcation in Blood Oscillatory Rhythms for Patients with Ischemic Stroke: A Small Scale Clinical Trial using Laser Doppler Flowmetry and Computational Modeling of Vasomotion.

Authors:  Alexey Goltsov; Anastasia V Anisimova; Maria Zakharkina; Alexander I Krupatkin; Viktor V Sidorov; Sergei G Sokolovski; Edik Rafailov
Journal:  Front Physiol       Date:  2017-03-23       Impact factor: 4.566

8.  Fast detection and data compensation for electrodes disconnection in long-term monitoring of dynamic brain electrical impedance tomography.

Authors:  Ge Zhang; Meng Dai; Lin Yang; Weichen Li; Haoting Li; Canhua Xu; Xuetao Shi; Xiuzhen Dong; Feng Fu
Journal:  Biomed Eng Online       Date:  2017-01-07       Impact factor: 2.819

9.  Dynamic cerebral autoregulation is preserved during isometric handgrip and head-down tilt in healthy volunteers.

Authors:  Maria Skytioti; Signe Søvik; Maja Elstad
Journal:  Physiol Rep       Date:  2018-03

10.  Joint time-frequency analysis of dynamic cerebral autoregulation using generalized harmonic wavelets.

Authors:  E C Miller; K R M Dos Santos; R S Marshall; I A Kougioumtzoglou
Journal:  Physiol Meas       Date:  2020-03-06       Impact factor: 2.833

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.