Two diverse complexity metrics quantifying time irreversibility and local prediction, in connection with a surrogate data approach, were utilized to detect nonlinear dynamics in short heart period (HP) variability series recorded in fetuses, as a function of the gestational period, and in healthy humans, as a function of the magnitude of the orthostatic challenge. The metrics indicated the presence of two distinct types of nonlinear HP dynamics characterized by diverse ranges of time scales. These findings stress the need to render more specific the analysis of nonlinear components of HP dynamics by accounting for different temporal scales.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354335PMC
http://dx.doi.org/10.3389/fphys.2015.00071DOI Listing

Publication Analysis

Top Keywords

nonlinear dynamics
12
distinct types
8
types nonlinear
8
dynamics short
8
short heart
8
heart period
8
period variability
8
complexity analyses
4
analyses distinct
4
nonlinear
4

Similar Publications

Article Synopsis
  • Lithium-ion batteries are crucial for the electric vehicle (EV) industry due to their high energy density, low discharge rate, and long lifespan, making accurate State of Charge (SOC) estimation important for performance improvement.
  • The proposed method combines the Thevenin 2RC battery model to capture the battery's non-linear dynamics with the Unscented Kalman Bucy Filter (UKBF) to enhance SOC estimation by dealing with measurement noise and nonlinearities.
  • A simulation in Matlab Simulink reveals that the UKBF outperforms other estimation methods like EKF and UKF, achieving a notably lower Root Mean Square Error (RMSE) of 0.003276 for SOC estimation.
View Article and Find Full Text PDF

Background: Forecasting future public pharmaceutical expenditure is a challenge for healthcare payers, particularly owing to the unpredictability of new market introductions and their economic impact. No best-practice forecasting methods have been established so far. The literature distinguishes between the top-down approach, based on historical trends, and the bottom-up approach, using a combination of historical and horizon scanning data.

View Article and Find Full Text PDF

This study aimed to predict and fit the nonlinear dynamic grip force of the human upper limb using surface electromyographic (sEMG) signals. The research employed a time-series-based neural network, NARX, to establish a mapping relationship between the electromyographic signals of the forearm muscle groups and dynamic grip force. Three-channel electromyographic signal acquisition equipment and a grip force sensor were used to record muscle signals and grip force data of the subjects under specific dynamic force conditions.

View Article and Find Full Text PDF

The transient dynamics of photocurrents for poly((4-diphenylamino)benzyl acrylate) (PDAA)-based photorefractive (PR) polymers sensitized with perylene bisimide derivative N,N'-diisopropylphenyl-1,6,7,12-tetrachloroperylene-3,4,9,10-tetracarboxyl bisimide (PBI) at various composition ratios were studied. The PR polymer included (4-(diphenylamino)phenyl)methanol (TPAOH) photoconductive plasticizer and (4-(azepan-1-yl)-benzylidene) malononitrile nonlinear optical dye as well, which are needed for inducing PR effects. All the photocurrents measured at 640 nm were well simulated by a two-trapping site model considering photocarrier generation and recombination processes of the charge transfer (CT) complex between PBI and PDAA.

View Article and Find Full Text PDF

Climate change could amplify weak synchrony in large marine ecosystems.

Proc Natl Acad Sci U S A

January 2025

Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045.

Climate change is increasing the frequency of large-scale, extreme environmental events and flattening environmental gradients. Whether such changes will cause spatially synchronous, large-scale population declines depends on mechanisms that limit metapopulation synchrony, thereby promoting rescue effects and stability. Using long-term data and empirical dynamic models, we quantified spatial heterogeneity in density dependence, spatial heterogeneity in environmental responses, and environmental gradients to assess their role in inhibiting synchrony across 36 marine fish and invertebrate species.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!