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

被引:1
|
作者
Salinet, Joao [1 ]
de Moura, Fernando Silva [1 ]
Romaneli, Renata [1 ]
Nery dos Santos, Pedro Machado [1 ]
Zamai, Matheus [1 ]
Panerai, Ronney B. [2 ,3 ]
Duarte, Andre M. [1 ]
Bor-Seng-Shu, Edson [4 ]
Macedo Salinet, Angela Salomao [1 ,4 ]
机构
[1] Fed Univ ABC, Biomed Engn, Engn Modelling & Appl Social Sci Ctr, Sao Bernardo Do Campo, Brazil
[2] Univ Leicester, Dept Cardiovasc Sci, Cerebral Haemodynam Ageing & Stroke Med CHiASM Re, Leicester, Leics, England
[3] Glenfield Hosp, British Heart Fdn, NIHR Leicester Biomed Res Ctr, Cardiovasc Res Ctr, Leicester, Leics, England
[4] Univ Sao Paulo, Hosp Clin, Sch Med, Neurol Dept, Sao Paulo, Brazil
基金
巴西圣保罗研究基金会;
关键词
cerebral blood flow; cerebral autoregulation analysis; signal processing and modelling; open-source platform; BLOOD-FLOW; AUTOREGULATION;
D O I
10.1088/1361-6579/ac0c0b
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Objective. The purpose of this article is to introduce readers to the concept and structure of the CAAos (Cerebral Autoregulation Assessment Open Source) platform, and provide evidence of its functionality. Approach. The 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 the customization and inclusion of new tools. Main results. Currently, the 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 the CAAos platform: transfer function analysis (TFA) and the autoregulation index (ARI). In order to provide validation of the TFA and ARI estimates derived from the CAAos platform, the results were compared with those derived from two other algorithms. Validation was performed using data from 28 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 the algorithms was found. Moreover, there was an excellent correspondence between the curves of all parameters analysed, with the 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 noncommercial use, reducing barriers to performing CA analysis, allowing inspection of the inner-workings of the algorithms, and facilitating networked activities with common standards. The CAAos platform is a tailored software solution for the scientific community in the cerebral hemodynamic field and contributes to the increasing use and reproducibility of CA assessment.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] An Integrated Data Analytics Platform
    Armstrong, Edward M.
    Bourassa, Mark A.
    Cram, Thomas A.
    DeBellis, Maya
    Elya, Jocelyn
    Greguska, Frank R., III
    Huang, Thomas
    Jacob, Joseph C.
    Ji, Zaihua
    Jiang, Yongyao
    Li, Yun
    Quach, Nga
    McGibbney, Lewis
    Smith, Shawn
    Tsontos, Vardis M.
    Wilson, Brian
    Worley, Steven J.
    Yang, Chaowei
    Yam, Elizabeth
    FRONTIERS IN MARINE SCIENCE, 2019, 6
  • [2] BioWardrobe: an integrated platform for analysis of epigenomics and transcriptomics data
    Barski, Artem
    Kartashov, Andrey
    JOURNAL OF IMMUNOLOGY, 2016, 196
  • [3] UALCAN: An update to the integrated cancer data analysis platform
    Chandrashekar, Darshan Shimoga
    Karthikeyan, Santhosh Kumar
    Korla, Praveen Kumar
    Patel, Henalben
    Shovon, Ahmedur Rahman
    Athar, Mohammad
    Netto, George J.
    Qin, Zhaohui S.
    Kumar, Sidharth
    Manne, Upender
    Creighton, Chad J.
    Varambally, Sooryanarayana
    NEOPLASIA, 2022, 25 : 18 - 27
  • [4] BioWardrobe: an integrated platform for analysis of epigenomics and transcriptomics data
    Kartashov, Andrey V.
    Barski, Artem
    GENOME BIOLOGY, 2015, 16
  • [5] BioWardrobe: an integrated platform for analysis of epigenomics and transcriptomics data
    Andrey V. Kartashov
    Artem Barski
    Genome Biology, 16
  • [6] MiMiR – an integrated platform for microarray data sharing, mining and analysis
    Chris Tomlinson
    Manjula Thimma
    Stelios Alexandrakis
    Tito Castillo
    Jayne L Dennis
    Anthony Brooks
    Thomas Bradley
    Carly Turnbull
    Ekaterini Blaveri
    Geraint Barton
    Norie Chiba
    Klio Maratou
    Pat Soutter
    Tim Aitman
    Laurence Game
    BMC Bioinformatics, 9
  • [7] Wasabi: An Integrated Platform for Evolutionary Sequence Analysis and Data Visualization
    Veidenberg, Andres
    Medlar, Alan
    Loytynoja, Ari
    MOLECULAR BIOLOGY AND EVOLUTION, 2016, 33 (04) : 1126 - 1130
  • [8] Provision of an integrated data analysis platform for computational neuroscience experiments
    Munir, Kamran
    Kiani, Saad Liaquat
    Hasham, Khawar
    McClatchey, Richard
    Branson, Andrew
    Shamdasani, Jetendr
    Journal of Systems and Information Technology, 2014, 16 (03) : 150 - 169
  • [9] PCaT: An integrated platform for the analysis of pediatric cancer genomic data
    Yang, Juechen
    Li, Qilin
    Wang, Xiaojing
    Houghton, Peter
    Zheng, Siyuan
    CANCER RESEARCH, 2020, 80 (16)
  • [10] MiMiR - an integrated platform for microarray data sharing, mining and analysis
    Tomlinson, Chris
    Thimma, Manjula
    Alexandrakis, Stelios
    Castillo, Tito
    Dennis, Jayne L.
    Brooks, Anthony
    Bradley, Thomas
    Turnbull, Carly
    Blaveri, Ekaterini
    Barton, Geraint
    Chiba, Norie
    Maratou, Klio
    Soutter, Pat
    Aitman, Tim
    Game, Laurence
    BMC BIOINFORMATICS, 2008, 9 (1)