University of Leicester
Browse
- No file added yet -

CAAos platform: an integrated platform for analysis of cerebral hemodynamics data

Download (100.03 kB)
journal contribution
posted on 2021-07-12, 10:55 authored by João Salinet, Fernando Silva de Moura, Renata Romanelli, Pedro Machado Nery Dos Santos, Matheus Zamai, Ronney B Panerai, Andre M Duarte, Edson Bor-Seng-Shu, Angela Salomao Macedo Salinet

Objective

The purpose of this article is to introduce the readers to the concept and structure of CAAos (Cerebral Autoregulation Assessment Open Source) platform, and provide evidence of its functionality.

Approach

CAAos platform is a new open-source software research tool, developed in Python 3 language, that combines existing and novel methods for interactive visual inspection, batch processing and analysis of multichannel records. The platform is scalable, allowing for customization and inclusion of new tools.

Main results

Currently CAAos platform is composed of two main modules, preprocessing (containing artefact removal, filtering and signal beat to beat extraction tools) and cerebral autoregulation (CA) analysis modules. Two methods for assessing CA have been implemented into CAAos platform: transfer function analysis (TFA) and autoregulation index (ARI). In order to provide validation of TFA and ARI estimates derived from CAAos platform, the results were compared with those derived from two other algorithms. Validation was performed using data from twenty-eight participants, corresponding to 13 acute ischemic stroke patients and 13 age- and sex-matched control subjects. Agreement between estimates was assessed by intraclass correlation coefficient and Bland-Altman analysis. No significant statistical difference between algorithms was found. Moreover, there was an excellent correspondence between the curves of all parameters analysed, with intraclass correlation coefficient ranging from 0.98 (95%CI 0.976-0.999) to 1.00 (95%CI 1 -1). The mean differences revealed a very small magnitude bias indicating an excellent agreement between the estimates.

Significance

As open-source software, the source code for the software is freely available for non-commercial use, reducing barriers to performing CA analysis, allowing inspection of the inner-workings of the algorithms, and facilitating networked activities with common standards. CAAos platform is a tailored software solution for the scientific community in the cerebral hemodynamic field and contributes to increasing use and reproducibility of CA assessment.

History

Author affiliation

Department of Health Sciences, University of Leicester

Version

  • AM (Accepted Manuscript)

Published in

Physiological measurement

Publisher

IOP Publishing

issn

0967-3334

eissn

1361-6579

Acceptance date

2021-06-16

Copyright date

2021

Available date

2022-06-16

Spatial coverage

England

Language

eng

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC