Detection of physiological singularities in respiratory dynamics analyzed by recurrence quantification analysis of tracheal sounds

被引:14
|
作者
Vena, A
Conte, E
Perchiazzi, G
Federici, A
Giuliani, R
Zbilut, JP
机构
[1] Rush Univ, Dept Mol Biophys & Physiol, Chicago, IL 60612 USA
[2] Univ Bari, Dept Emergency & Transplantat, Bari, Italy
[3] Bari Univ Hosp, Dept Pharmacol & Human Physiol, Bari, Italy
[4] Univ Bari, Ctr Innovat Technol Signal Detect & Proc, TIRES, Bari, Italy
关键词
D O I
10.1016/j.chaos.2004.03.005
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Following a previous analysis that was performed on lung sounds of right and left apexes [Chaos, Solitons Fractals 2004;21:869-77], in the present paper we studied tracheal sounds by recurrence quantification analysis, adding chaos analysis as estimation of correlation dimension and Lyapunov spectrum. The results confirm the presence of singularitics indicating that respiratory dynamics is controlled by a discrete non-deterministic dynamics based on violation of Lipschitz conditions. On the basis of the results, it is also evidenced the possibility to introduce new indexes having interest in respiratory diagnostic routine. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:869 / 881
页数:13
相关论文
共 50 条
  • [21] UTILIZING RECURRENCE QUANTIFICATION ANALYSIS FOR CHATTER DETECTION IN TURNING
    Govindan, Rajesh Vazhayil
    Namboothiri, Narayanan V. N.
    PROCEEDINGS OF THE ASME INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE 2010, VOL 2, 2011, : 149 - 156
  • [22] Diagnosis of Respiratory Abnormalities Using Tracheal Sounds Analysis: Instrumentation and Evaluation in Simulated and In Vivo Tests
    Lima Junior, N. A.
    Queiroz, I. M.
    Oliveira, N. V.
    Lopes, A. J.
    Melo, P. L.
    XXVI BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2018, VOL 1, 2019, 70 (01): : 453 - 458
  • [23] Recurrence quantification analysis as a tool for characterization of molecular dynamics simulations
    Manetti, C
    Ceruso, MA
    Giuliani, A
    Webber, CL
    Zbilut, JP
    PHYSICAL REVIEW E, 1999, 59 (01): : 992 - 998
  • [24] Recurrence Quantification Analysis as a Method for Studying Text Comprehension Dynamics
    Likens, Aaron D.
    McCarthy, Kathryn S.
    Allen, Laura K.
    McNamara, Danielle S.
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE (LAK'18): TOWARDS USER-CENTRED LEARNING ANALYTICS, 2018, : 111 - 120
  • [25] Recurrence quantification analysis as a tool for characterization of molecular dynamics simulations
    Manetti, Cesare
    Ceruso, Marc-Antoine
    Giuliani, Alessandro
    Webber, Charles L. Jr.
    Zbilut, Joseph P.
    Physical Review E. Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 1999, 59 (1-A):
  • [26] System dynamics revealed by recurrence quantification analysis: Application to molecular dynamics simulations
    Karakasidis, T. E.
    Fragkou, A.
    Liakopoulos, A.
    PHYSICAL REVIEW E, 2007, 76 (02):
  • [27] Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data
    Veerabhadrappa, Rakesh
    Hettiarachchi, Imali T.
    Bhatti, Asim
    2021 15TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON 2021), 2021,
  • [28] The Application of Recurrence Quantification Analysis in Detection of Abrupt Climate Change
    Zhang, Wen
    Feng, Guoling
    Liu, Qunqun
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2016, 2016
  • [29] A Note on Implementing Recurrence Quantification Analysis for Network Anomaly Detection
    Kumar, Ch Aswani
    Bhargavi, K.
    Jalota, Garima
    DEFENCE SCIENCE JOURNAL, 2012, 62 (02) : 112 - 116
  • [30] Sleep-wake detection using recurrence quantification analysis
    Parro, V. C.
    Valdo, L.
    CHAOS, 2018, 28 (08)