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In this paper, we present an assortment of both standard and advanced Fourier techniques that are useful in the analysis of astrophysical time series of very long duration -- where the observation time is much greater than the time…

Astrophysics · Physics 2009-11-07 Scott M. Ransom , Stephen S. Eikenberry , John Middleditch

We have studied the characteristic timescales of 80 AGNs at 22, 37 and 90 GHz examining the properties of the wavelet method and comparing them to traditional Fourier-based methods commonly used in astronomy. We used the continuous wavelet…

Astrophysics · Physics 2009-11-13 T. Hovatta , H. J. Lehto , M. Tornikoski

Seismocardiography (SCG) is a non-invasive method that can be used for cardiac activity monitoring. This paper presents a new electrocardiogram (ECG) independent approach for estimating heart rate (HR) during low and high lung volume (LLV…

Signal Processing · Electrical Eng. & Systems 2019-02-04 Amirtaha Taebi , Andrew J Bomar , Richard H Sandler , Hansen A Mansy

Energy-efficient spikformer has been proposed by integrating the biologically plausible spiking neural network (SNN) and artificial Transformer, whereby the Spiking Self-Attention (SSA) is used to achieve both higher accuracy and lower…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Qingyu Wang , Duzhen Zhang , Tilelin Zhang , Bo Xu

The heart rate variability (HRV) in diabetic human subjects, has been analyzed using lagged Poincar\'{e} plot, auto-correlation and the detrended fluctuation analysis methods. The parameters $SD1$, and $SD12 (= SD1/SD2)$ for Poincar\'{e}…

Medical Physics · Physics 2010-05-31 S. K. Ghatak , B. Roy

In this study, an improved second-order difference plot is proposed to analyze the variability of heart rate variability. Although the variation of physiological status of cardiovascular system can be shown graphically by the second-order…

Systems and Control · Electrical Eng. & Systems 2022-12-19 Chen Diao , Ning Cai

Objective: This work evaluates a new approach for calculating the left-ventricular (LV) early filling propagation velocity (VP) from color M-Mode (CMM) echocardiograms using wavelet analysis. Unlike current approaches, the method requires…

Medical Physics · Physics 2019-10-29 Sreyashi Chakraborty , Hiroyuki Iwano , Michael E. Hall , Pavlos P. Vlachos

The echocardiographic measurement of left ventricular ejection fraction (LVEF) is fundamental to the diagnosis and classification of patients with heart failure (HF). In order to quantify LVEF automatically and accurately, this paper…

A recent model to analyze the Center of Pressure trajectories is based on the fractional Brownian motion. By doing so, one note that standing still is describe by different mechanisms following the frequency. Previous studies exhibit the…

Medical Physics · Physics 2025-03-31 Pierre R. Bertrand , Jean-Marc Bardet , Michel Dabonneville , A. Mouzat , Philippe Vaslin

Aims. Clinical data indicating a heart rate (HR) target during rate control therapy for permanent atrial fibrillation (AF) and assessing its eventual relationship with reduced exercise tolerance are lacking. The present study aims at…

Medical Physics · Physics 2017-01-17 Matteo Anselmino , Stefania Scarsoglio , Andrea Saglietto , Fiorenzo Gaita , Luca Ridolfi

We report on wide-field imaging of pulsatile microvascular blood flow in the exposed cerebral cortex of a mouse by holographic interferometry. We recorded interferograms of laser light backscattered by the tissue, beating against an…

Medical Physics · Physics 2015-10-08 L. Puyo , I. Ferezou , A. Rancillac , M. Simonutti , M. Paques , J. A. Sahel , M. Fink , M. Atlan

Fetal heart rate variability (fHRV) is an important indicator of health and disease, yet its physiological origins, neural contributions in particular, are not well understood. We aimed to develop novel experimental and data analytical…

Transformer and its variants are fundamental neural architectures in deep learning. Recent works show that learning attention in the Fourier space can improve the long sequence learning capability of Transformers. We argue that wavelet…

Computation and Language · Computer Science 2023-05-24 Yufan Zhuang , Zihan Wang , Fangbo Tao , Jingbo Shang

Active arterial mechanics, governed by vascular smooth muscle contraction, are critical to physiological regulation, cardiovascular disease progression, and clinical diagnosis. Although various in vivo methods have been developed to assess…

Medical Physics · Physics 2026-01-21 Yuxuan Jiang , Yanping Cao

We discuss open problems related to the stochastic modeling of cardiac function. The work is based on an experimental investigation of the dynamics of heart rate variability (HRV) in the absence of respiratory perturbations. We consider…

Biological Physics · Physics 2015-05-14 I. A. Khovanov , N. A. Khovanova , P. V. E. McClintock , A. Stefanovska

We consider the problem of modeling cardiovascular responses to physical activity and sleep changes captured by wearable sensors in free living conditions. We use an attentional convolutional neural network to learn parsimonious signatures…

Machine Learning · Computer Science 2018-12-06 Haraldur T. Hallgrímsson , Filip Jankovic , Tim Althoff , Luca Foschini

Frailty is a geriatric syndrome associated with the lack of physiological reserve and consequent adverse outcomes (therapy complications and death) in older adults. Recent research has shown associations between heart rate (HR) dynamics (HR…

Quantitative Methods · Quantitative Biology 2023-03-27 Patricio Arrué , Kaveh Laksari , Nima Toosizadeh

Submovements are ballistic components of human motion constituting a large part of motor interaction and arising from the cyclical and overlapping cognitive processes of perception, motor planning, and motor execution. Extracting…

Human-Computer Interaction · Computer Science 2026-04-23 Auejin Ham , Ben Boudaoud

In this work, we address the challenge of adaptive pediatric Left Ventricular Ejection Fraction (LVEF) assessment. While Test-time Training (TTT) approaches show promise for this task, they suffer from two significant limitations. Existing…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Jie Liu , Tiexin Qin , Hui Liu , Yilei Shi , Lichao Mou , Xiao Xiang Zhu , Shiqi Wang , Haoliang Li

In this paper, the wavelet analysis is used to study the ECG signal. We show that the high-frequency wavelet components of the ECG signal contain information on the functioning of the heart and can be used in diagnosis. We describe the…

Signal Processing · Electrical Eng. & Systems 2018-07-27 N. K. Smolentsev , P. N. Podkur