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  1. Book ; Online: Assessing Complexity in Physiological Systems through Biomedical Signals Analysis

    Castiglioni, Paolo / Faes, Luca / Valenza, Gaetano

    2021  

    Keywords Research & information: general ; Mathematics & science ; autonomic nervous function ; heart rate variability (HRV) ; baroreflex sensitivity (BRS) ; photo-plethysmo-graphy (PPG) ; digital volume pulse (DVP) ; percussion entropy index (PEI) ; heart rate variability ; posture ; entropy ; complexity ; cognitive task ; sample entropy ; brain functional networks ; dynamic functional connectivity ; static functional connectivity ; K-means clustering algorithm ; fragmentation ; aging in human population ; factor analysis ; support vector machines classification ; Sampen ; cross-entropy ; autonomic nervous system ; heart rate ; blood pressure ; hypobaric hypoxia ; rehabilitation medicine ; labor ; fetal heart rate ; data compression ; complexity analysis ; nonlinear analysis ; preterm ; Alzheimer's disease ; brain signals ; single-channel analysis ; biomarker ; refined composite multiscale entropy ; central autonomic network ; interconnectivity ; ECG ; ectopic beat ; baroreflex ; self-organized criticality ; vasovagal syncope ; Zipf's law ; multifractality ; multiscale complexity ; detrended fluctuation analysis ; self-similarity ; sEMG ; approximate entropy ; fuzzy entropy ; fractal dimension ; recurrence quantification analysis ; correlation dimension ; largest Lyapunov exponent ; time series analysis ; relative consistency ; event-related de/synchronization ; motor imagery ; vector quantization ; information dynamics ; partial information decomposition ; conditional transfer entropy ; network physiology ; multivariate time series analysis ; State-space models ; vector autoregressive model ; penalized regression techniques ; linear prediction ; fNIRS ; brain dynamics ; mental arithmetics ; multiscale ; cardiovascular system ; brain ; information flow
    Size 1 electronic resource (296 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel, Switzerland
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021044412
    ISBN 9783039433698 ; 3039433695
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article: Commentary: Decomposition of Heart Rate Variability Spectrum into a Power-Law Function and a Residual Spectrum.

    Castiglioni, Paolo

    Frontiers in cardiovascular medicine

    2018  Volume 5, Page(s) 94

    Language English
    Publishing date 2018-07-26
    Publishing country Switzerland
    Document type Journal Article ; Comment
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2018.00094
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Multifractal Multiscale Analysis of Human Movements during Cognitive Tasks.

    Faini, Andrea / Arsac, Laurent M / Deschodt-Arsac, Veronique / Castiglioni, Paolo

    Entropy (Basel, Switzerland)

    2024  Volume 26, Issue 2

    Abstract: Continuous adaptations of the movement system to changing environments or task demands rely on superposed fractal processes exhibiting power laws, that is, multifractality. The estimators of the multifractal spectrum potentially reflect the adaptive use ... ...

    Abstract Continuous adaptations of the movement system to changing environments or task demands rely on superposed fractal processes exhibiting power laws, that is, multifractality. The estimators of the multifractal spectrum potentially reflect the adaptive use of perception, cognition, and action. To observe time-specific behavior in multifractal dynamics, a multiscale multifractal analysis based on DFA (MFMS-DFA) has been recently proposed and applied to cardiovascular dynamics. Here we aimed at evaluating whether MFMS-DFA allows identifying multiscale structures in the dynamics of human movements. Thirty-six (12 females) participants pedaled freely, after a metronomic initiation of the cadence at 60 rpm, against a light workload for 10 min: in reference to cycling (C), cycling while playing "Tetris" on a computer, alone (CT) or collaboratively (CTC) with another pedaling participant. Pedal revolution periods (PRP) series were examined with MFMS-DFA and compared to linearized surrogates, which attested to a presence of multifractality at almost all scales. A marked alteration in multifractality when playing Tetris was evidenced at two scales, τ ≈ 16 and τ ≈ 64 s, yet less marked at τ ≈ 16 s when playing collaboratively. Playing Tetris in collaboration attenuated these alterations, especially in the best Tetris players. This observation suggests the high sensitivity to cognitive demand of MFMS-DFA estimators, extending to the assessment of skill/demand interplay from individual behavior. So, by identifying scale-dependent multifractal structures in movement dynamics, MFMS-DFA has obvious potential for examining brain-movement coordinative structures, likely with sufficient sensitivity to find echo in diagnosing disorders and monitoring the progress of diseases that affect cognition and movement control.
    Language English
    Publishing date 2024-02-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e26020148
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Sample, Fuzzy and Distribution Entropies of Heart Rate Variability: What Do They Tell Us on Cardiovascular Complexity?

    Castiglioni, Paolo / Merati, Giampiero / Parati, Gianfranco / Faini, Andrea

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 2

    Abstract: Distribution Entropy (DistEn) has been introduced as an alternative to Sample Entropy (SampEn) to assess the heart rate variability (HRV) on much shorter series without the arbitrary definition of distance thresholds. However, DistEn, considered a ... ...

    Abstract Distribution Entropy (DistEn) has been introduced as an alternative to Sample Entropy (SampEn) to assess the heart rate variability (HRV) on much shorter series without the arbitrary definition of distance thresholds. However, DistEn, considered a measure of cardiovascular complexity, differs substantially from SampEn or Fuzzy Entropy (FuzzyEn), both measures of HRV randomness. This work aims to compare DistEn, SampEn, and FuzzyEn analyzing postural changes (expected to modify the HRV randomness through a sympatho/vagal shift without affecting the cardiovascular complexity) and low-level spinal cord injuries (SCI, whose impaired integrative regulation may alter the system complexity without affecting the HRV spectrum). We recorded RR intervals in able-bodied (AB) and SCI participants in supine and sitting postures, evaluating DistEn, SampEn, and FuzzyEn over 512 beats. The significance of "case" (AB vs. SCI) and "posture" (supine vs. sitting) was assessed by longitudinal analysis. Multiscale DistEn (mDE), SampEn (mSE), and FuzzyEn (mFE) compared postures and cases at each scale between 2 and 20 beats. Unlike SampEn and FuzzyEn, DistEn is affected by the spinal lesion but not by the postural sympatho/vagal shift. The multiscale approach shows differences between AB and SCI sitting participants at the largest mFE scales and between postures in AB participants at the shortest mSE scales. Thus, our results support the hypothesis that DistEn measures cardiovascular complexity while SampEn/FuzzyEn measure HRV randomness, highlighting that together these methods integrate the information each of them provides.
    Language English
    Publishing date 2023-02-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25020281
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Comment on "Modified multiscale fuzzy entropy: A robust method for short-term physiologic signals" [Chaos 30, 083135 (2020)].

    Faini, Andrea / Castiglioni, Paolo

    Chaos (Woodbury, N.Y.)

    2021  Volume 31, Issue 1, Page(s) 18103

    MeSH term(s) Algorithms ; Entropy ; Signal Processing, Computer-Assisted
    Language English
    Publishing date 2021-03-22
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 1472677-4
    ISSN 1089-7682 ; 1054-1500
    ISSN (online) 1089-7682
    ISSN 1054-1500
    DOI 10.1063/5.0034877
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Respiratory patterns and baroreflex function in heart failure.

    Radaelli, Alberto / Mancia, Giuseppe / Balestri, Giulia / Bonfanti, Daniela / Castiglioni, Paolo

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 2220

    Abstract: Little is known on the effects of respiratory patterns on baroreflex function in heart failure (HF). Patients with HF (n = 30, age 61.6 ± 10 years, mean ± SD) and healthy controls (CNT, n = 10, age 58.9 ± 5.6 years) having their R-R interval (RRI, EKG), ... ...

    Abstract Little is known on the effects of respiratory patterns on baroreflex function in heart failure (HF). Patients with HF (n = 30, age 61.6 ± 10 years, mean ± SD) and healthy controls (CNT, n = 10, age 58.9 ± 5.6 years) having their R-R interval (RRI, EKG), systolic arterial blood pressure (SBP, Finapres) and respiratory signal (RSP, Respitrace) monitored, were subjected to three recording sessions: free-breathing, fast- (≥ 12 bpm) and slow- (6 bpm) paced breathing. Baroreflex sensitivity (BRS) and power spectra of RRI, SBP, and RSP signals were calculated. During free-breathing, compared to CNT, HF patients showed a significantly greater modulation of respiratory volumes in the very-low-frequency (< 0.04 Hz) range and their BRS was not significantly different from that of CNT. During fast-paced breathing, when very-low-frequency modulations of respiration were reduced, BRS of HF patients was significantly lower than that of CNT and lower than during free breathing. During slow-paced breathing, BRS became again significantly higher than during fast breathing. In conclusion: (1) in free-breathing HF patients is present a greater modulation of respiratory volumes in the very-low-frequency range; (2) in HF patients modulation of respiration in the very-low and low frequency (around 0.1 Hz) ranges contributes to preserve baroreflex-mediated control of heart rate.
    MeSH term(s) Humans ; Middle Aged ; Aged ; Baroreflex/physiology ; Blood Pressure/physiology ; Respiration ; Respiratory Rate/physiology ; Heart Rate/physiology ; Heart Failure
    Language English
    Publishing date 2023-02-08
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-29271-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Cepstral Analysis for Scoring the Quality of Electrocardiograms for Heart Rate Variability.

    Castiglioni, Paolo / Parati, Gianfranco / Faini, Andrea

    Frontiers in physiology

    2022  Volume 13, Page(s) 921210

    Abstract: Mobile-health solutions based on heart rate variability often require electrocardiogram (ECG) recordings by inexperienced operators or real-time automatic analyses of long-term recordings by wearable devices in free-moving individuals. In this context, ... ...

    Abstract Mobile-health solutions based on heart rate variability often require electrocardiogram (ECG) recordings by inexperienced operators or real-time automatic analyses of long-term recordings by wearable devices in free-moving individuals. In this context, it is useful to associate a quality index with the ECG, scoring the adequacy of the recording for heart rate variability to identify noise or arrhythmias. Therefore, this work aims to propose and validate a computational method for assessing the adequacy of single-lead ECGs for heart rate variability analysis that may run in real time on wearable systems with low computational power. The method quantifies the ECG pseudo-periodic structure employing cepstral analysis. The cepstrum (spectrum of log-spectrum) is estimated on a running ECG window of 10 s before and after "liftering" (filtering in the cepstral domain) to remove slower noise components. The ECG periodicity generates a dominant peak in the liftered cepstrum at the "quefrency" of the mean cardiac interval. The Cepstral Quality Index (CQI) is the ratio between the cepstral-peak power and the total power of the unliftered cepstrum. Noises and arrhythmias reduce the relative power of the cepstral peak decreasing CQI. We analyzed a public dataset of 6072 single-lead ECGs manually classified in normal rhythm or inadequate for heart rate variability analysis because of noise or atrial fibrillation, and the CQI = 47% cut-off identified the inadequate recordings with 79% sensitivity and 85% specificity. We showed that the performance is independent of the lead considering a public dataset of 1,000 12-lead recordings with quality classified as "acceptable" or "unacceptable" by visual inspection. Thus, the cepstrum describes the ECG periodic structure effectively and concisely and CQI appears to be a robust score of the adequacy of ECG recording for heart rate variability analysis, evaluable in real-time on wearable devices.
    Language English
    Publishing date 2022-06-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2022.921210
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: A Fast DFA Algorithm for Multifractal Multiscale Analysis of Physiological Time Series.

    Castiglioni, Paolo / Faini, Andrea

    Frontiers in physiology

    2019  Volume 10, Page(s) 115

    Abstract: Detrended fluctuation analysis (DFA) is a popular tool in physiological and medical studies for estimating the self-similarity coefficient, α, of time series. Recent researches extended its use for evaluating multifractality (where α is a function of the ...

    Abstract Detrended fluctuation analysis (DFA) is a popular tool in physiological and medical studies for estimating the self-similarity coefficient, α, of time series. Recent researches extended its use for evaluating multifractality (where α is a function of the multifractal parameter
    Language English
    Publishing date 2019-03-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2019.00115
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Multifractal and Multiscale Detrended Fluctuation Analysis of Cardiovascular Signals: how the Estimation Bias Affects ShortTerm Coefficients and a Way to mitigate this Error.

    Castiglioni, Paolo / Parati, Gianfranco / Faini, Andrea

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2021  Volume 2021, Page(s) 257–260

    Abstract: The Detrended Fluctuation Analysis (DFA) is a popular method for quantifying the self-similarity of the heart rate that may reveal complexity aspects in cardiovascular regulation. However, the self-similarity coefficients provided by DFA may be affected ... ...

    Abstract The Detrended Fluctuation Analysis (DFA) is a popular method for quantifying the self-similarity of the heart rate that may reveal complexity aspects in cardiovascular regulation. However, the self-similarity coefficients provided by DFA may be affected by an overestimation error associated with the shortest scales. Recently, the DFA has been extended to calculate the multifractal-multiscale self-similarity and some evidence suggests that overestimation errors may affect different multifractal orders. If this is the case, the error might alter substantially the multifractal-multiscale representation of the cardiovascular self-similarity. The aim of this work is 1) to describe how this error depends on the multifractal orders and scales and 2) to propose a way to mitigate this error applicable to real cardiovascular series.Clinical Relevance- The proposed correction method may extend the multifractal analysis at the shortest scales, thus allowing to better assess complexity alterations in the cardiac autonomic regulation and to increase the clinical value of DFA.
    MeSH term(s) Cardiovascular System ; Fractals ; Heart ; Heart Rate
    Language English
    Publishing date 2021-12-10
    Publishing country United States
    Document type Journal Article
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC46164.2021.9629623
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Multiscale assessment of the degree of multifractality for physiological time series.

    Faini, Andrea / Parati, Gianfranco / Castiglioni, Paolo

    Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

    2021  Volume 379, Issue 2212, Page(s) 20200254

    Abstract: Recent advancements in detrended fluctuation analysis (DFA) allow evaluating multifractal coefficients scale-by-scale, a promising approach for assessing the complexity of biomedical signals. The multifractality degree is typically quantified by the ... ...

    Abstract Recent advancements in detrended fluctuation analysis (DFA) allow evaluating multifractal coefficients scale-by-scale, a promising approach for assessing the complexity of biomedical signals. The multifractality degree is typically quantified by the singularity spectrum width (
    MeSH term(s) Fractals ; Heart Rate ; Humans
    Language English
    Publishing date 2021-10-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 208381-4
    ISSN 1471-2962 ; 0080-4614 ; 0264-3820 ; 0264-3952 ; 1364-503X
    ISSN (online) 1471-2962
    ISSN 0080-4614 ; 0264-3820 ; 0264-3952 ; 1364-503X
    DOI 10.1098/rsta.2020.0254
    Database MEDical Literature Analysis and Retrieval System OnLINE

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