当前位置： SCI文献检索 > COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE期刊下所有文献 > Heart rate variability metrics for fine-grained stress level assessment.

Heart rate variability metrics for fine-grained stress level assessment.

Abstract：

BACKGROUND AND OBJECTIVES:In spite of the existence of a multitude of techniques that allow the estimation of stress from physiological indexes, its fine-grained assessment is still a challenge for biomedical engineering. The short-term assessment of stress condition overcomes the limits to stress characterization with long blocks of time and allows to evaluate the behaviour change in real-world settings and also the stress level dynamics. The aim of the present study was to evaluate time and frequency domain and nonlinear heart rate variability (HRV) metrics for stress level assessment using a short-time window. METHODS:The electrocardiogram (ECG) signal from 14 volunteers was monitored using the Vital JacketTM while they performed the Trier Social Stress Test (TSST) which is a standardized stress-inducing protocol. Window lengths from 220 s to 50 s for HRV analysis were tested in order to evaluate which metrics could be used to monitor stress levels in an almost continuous way. RESULTS:A sub-set of HRV metrics (AVNN, rMSSD, SDNN and pNN20) showed consistent differences between stress and non-stress phases, and showed to be reliable parameters for the assessment of stress levels in short-term analysis. CONCLUSIONS:The AVNN metric, using 50 s of window length analysis, showed that it is the most reliable metric to recognize stress level across the four phases of TSST and allows a fine-grained analysis of stress effect as an index of psychological stress and provides an insight into the reaction of the autonomic nervous system to stress.

journal_name

Comput Methods Programs Biomed

journal_title

Computer methods and programs in biomedicine

authors

Pereira T,Almeida PR,Cunha JPS,Aguiar A

doi

10.1016/j.cmpb.2017.06.018

subject

Has Abstract

pub_date

2017-09-01 00:00:00

pages

71-80

eissn

0169-2607

issn

1872-7565

pii

S0169-2607(16)30802-1

journal_volume

148

pub_type

杂志文章

相关文献

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE文献大全
  • Cascaded classifiers and stacking methods for classification of pulmonary nodule characteristics.

    abstract：BACKGROUND AND OBJECTIVES:Detection and classification of pulmonary nodules are critical tasks in medical image analysis. The Lung Image Database Consortium (LIDC) database is a widely used resource for small pulmonary nodule classification research. This dataset is comprised of nodule characteristic evaluations and CT...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2018.10.009

    authors： Kaya A

    更新日期：2018-11-01 00:00:00

  • compound.Cox: Univariate feature selection and compound covariate for predicting survival.

    abstract：BACKGROUND AND OBJECTIVE:Univariate feature selection is one of the simplest and most commonly used techniques to develop a multigene predictor for survival. Presently, there is no software tailored to perform univariate feature selection and predictor construction. METHODS:We develop the compound.Cox R package that i...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2018.10.020

    authors： Emura T,Matsui S,Chen HY

    更新日期：2019-01-01 00:00:00

  • ARTEMIS-2: an application development experiment with the HELIOS environment.

    abstract：:A medical application is a highly complex system that embraces many data types and a very large number of data processing functions and methods. The development of integrated software engineering environments has deeply changed the conception of applications and the profile of the application developers. In this paper...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：

    authors： Lemaitre D,Jaulent MC,Günnel U,Demiris AM,Michel PA,Rassinoux AM,Göransson B,Olsson E,Degoulet P

    更新日期：1994-12-01 00:00:00

  • An interactive medical image segmentation system based on the optimal management of regions of interest using topological medical knowledge.

    abstract：:This paper presents an original interactive system for efficient medical image segmentation in computer aided diagnosis. The main originality concerns the method used to manage, according to an a priori topological-based structural model, regions of interest (ROIs) within which computations can be constrained. The goa...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2006.04.004

    authors： Fasquel JB,Agnus V,Moreau J,Soler L,Marescaux J

    更新日期：2006-06-01 00:00:00

  • Distal tibial tuberosity high tibial osteotomy using an image enhancement technique for orthopedic scans in the treatment of medial compartment knee osteoarthritis.

    abstract：OBJECTIVE:To observe the efficacy of distal tibial tuberosity high tibial osteotomy in treating medial compartment osteoarthritis of the knee. In the experiment, a medical image enhancement algorithm based on shear wave domain improved Gamma correction was implemented to process medical images in order to diagnose pati...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2020.105349

    authors： Tian X,Han C,Wang J,Tan Y,Zhu G,Lei M,Ma S,Hu Y,Li S,Chen H,Huang Y

    更新日期：2020-07-01 00:00:00

  • Improving drug dosing in hospitalized patients: automated modeling of pharmacokinetics for individualization of drug dosage regimens.

    abstract：:Many clinical useful drugs have a narrow range of blood concentrations which are both safe and efficacious. Inter-individual and intra-individual variations in drug disposition are important factors causing blood concentrations of drug to fall outside of the therapeutic range. Modeling of the pharmacokinetics of the i...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/0169-2607(89)90069-2

    authors： Lenert L,Sheiner L,Blaschke T

    更新日期：1989-10-01 00:00:00

  • Social network Analysis-based classifier (SNAc): A case study on time course gene expression data.

    abstract：BACKGROUND AND OBJECTIVES:Social Network Analysis is an attractive approach to model and analyze complex networks. In recent years, several bioinformatics related networks have been modeled and analyzed thoroughly using social network analysis. The objective of this study is to build a social network analysis based cla...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2017.06.015

    authors： Üçer S,Koçak Y,Ozyer T,Alhajj R

    更新日期：2017-10-01 00:00:00

  • Linear and nonlinear analyses of normal and fatigue heart rate variability signals for miners in high-altitude and cold areas.

    abstract：BACKGROUND AND OBJECTIVE:Fatigue is an important cause of operational errors, and human errors are the main cause of accidents. This study is an exploratory study in China. Field tests were conducted on heart rate variability (HRV) parameters and physiological indicators of fatigue among miners in high-altitude, cold a...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2020.105667

    authors： Chen S,Xu K,Zheng X,Li J,Fan B,Yao X,Li Z

    更新日期：2020-11-01 00:00:00

  • A new hybrid intelligent system for accurate detection of Parkinson's disease.

    abstract：:Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in walking, talking or completing other simple tasks. Variety of medications is available to treat P...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2014.01.004

    authors： Hariharan M,Polat K,Sindhu R

    更新日期：2014-03-01 00:00:00

  • Image operations in quantification of atherosclerosis from digitized angiograms.

    abstract：:This report describes a method of quantifying the inner volume (lumen volume) of a contrast medium-filled femoral artery from a roentgenogram by computerized image analysis. The various factors influencing the accuracy of the volume determination are analyzed and an image-processing procedure for the elimination of ar...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/0169-2607(91)90098-e

    authors： Berglund I,Bengtsson E,Erikson U,Högman N,Nilsson S

    更新日期：1991-05-01 00:00:00

  • A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease.

    abstract：BACKGROUND AND OBJECTIVE:A new expert system is proposed to discriminate healthy people from people with Parkinson's Disease (PD) in early stages by using Diadochokinesis tests. METHODS:The system is based on temporal and spectral features extracted from the Voice Onset Time (VOT) segments of /ka/ syllables, whose bou...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2017.11.010

    authors： Montaña D,Campos-Roca Y,Pérez CJ

    更新日期：2018-02-01 00:00:00

  • Corrigendum to "Transportation of magnetized micropolar hybrid nanomaterial fluid flow over a Riga curface surface" [Comput Meth Prog Bio 185 (2020) 105,136].

    abstract：:This corrigendum corrects the dimensions of partial differential equations in the paper [1], where these mistakes are occurred during typing processes. But the results in [1] does not affect the scientific and mathematical validity of the paper. ...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 信件

    doi：10.1016/j.cmpb.2019.105251

    authors： Abbas N,Malik MY,Nadeem S

    更新日期：2020-04-01 00:00:00

  • Development of a child head analytical dynamic model considering cranial nonuniform thickness and curvature - Applying to children aged 0-1 years old.

    abstract：BACKGROUND AND OBJECTIVE:Although analytical models have been used to quickly predict head response under impact condition, the existing models generally took the head as regular shell with uniform thickness which cannot account for the actual head geometry with varied cranial thickness and curvature at different locat...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2018.04.022

    authors： Li Z,Ji C,Wang L

    更新日期：2018-07-01 00:00:00

  • Prognostic value of tumor volume for patients with advanced lung cancer treated with chemotherapy.

    abstract：BACKGROUND AND OBJECTIVE:We aim to develop a reference system utilizing computed tomography to calculate changes in tumor volume of lung cancer patients after chemotherapy to assist physicians in clinical treatment and evaluation. METHODS:Image processing techniques were used to analyze the computed tomography of lung...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2017.03.021

    authors： Kuo CJ,Ke BH,Wu NY,Kuo J,Hsu HH

    更新日期：2017-06-01 00:00:00

  • Evaluation of a smartphone-based assessment system in subjects with chronic ankle instability.

    abstract：BACKGROUND:Ankle sprain is the most common sports-related injury, and approximately 80% of patients studied suffered recurrent sprains. These repeated ankle injuries could cause chronic ankle instability, a decrease in sports performance, and a decrease in postural control ability. At the present time, smartphones have...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2016.11.005

    authors： Chiu YL,Tsai YJ,Lin CH,Hou YR,Sung WH

    更新日期：2017-02-01 00:00:00

  • Microcomputer program for automated action potential waveform analysis.

    abstract：:A program for action potential waveform analysis based on a PC compatible computer is described. Single or averaged action potentials are analyzed by obtaining its first derivative and using criteria which allow automatic measurement of several action potential components, including: depolarization rate, repolarizatio...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/s0169-2607(00)00053-5

    authors： Soto E,Salceda E,Cruz R,Ortega A,Vega R

    更新日期：2000-06-01 00:00:00

  • Automatic quantification of the LV function and mass: A deep learning approach for cardiovascular MRI.

    abstract：OBJECTIVE:This paper proposes a novel approach for automatic left ventricle (LV) quantification using convolutional neural networks (CNN). METHODS:The general framework consists of one CNN for detecting the LV, and another for tissue classification. Also, three new deep learning architectures were proposed for LV quan...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2018.12.002

    authors： Curiale AH,Colavecchia FD,Mato G

    更新日期：2019-02-01 00:00:00

  • Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.

    abstract：BACKGROUND AND OBJECTIVE:Segmentation is a crucial step in multiple biomechanics and orthopedics applications. The time-intensiveness and expertise requirements of medical image segmentation present a significant bottleneck for corresponding workflows. The current study develops and evaluates convolutional neural netwo...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2020.105328

    authors： Burton W 2nd,Myers C,Rullkoetter P

    更新日期：2020-06-01 00:00:00

  • Piecewise nonlinear mixed-effects models for modeling cardiac function and assessing treatment effects.

    abstract：:Mixed-effects model is an efficient tool for analyzing longitudinal data. The random effects in a mixed-effects model can be used to capture the correlations among repeated measurements within a subject. Mixed effects model can be used to describe individual response profile as well as population response profile. In ...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2012.11.007

    authors： Jang H,Conklin DJ,Kong M

    更新日期：2013-06-01 00:00:00

  • Modelling, simulation and control in a data-rich environment.

    abstract：:This paper describes the use and potential use of mathematical modelling, computer simulation, real-time parameter identification and adaptive feedback control techniques in data-rich clinical environments. We consider a system to be operating in a data-rich environment when measurements of system inputs and outputs a...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/0169-2607(87)90049-6

    authors： Chizeck HJ

    更新日期：1987-09-01 00:00:00

  • CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels.

    abstract：PURPOSE:Computed tomography (CT) volume sets reconstructed with different kernels are helping to increase diagnostic accuracy. However, several CT volumes reconstructed with different kernels are difficult to sustain, due to limited storage and maintenance issues. A CT kernel conversion method is proposed using convolu...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2020.105615

    authors： Eun DI,Woo I,Park B,Kim N,Lee A SM,Seo JB

    更新日期：2020-11-01 00:00:00

  • Accelerated event-by-event Monte Carlo microdosimetric calculations of electrons and protons tracks on a multi-core CPU and a CUDA-enabled GPU.

    abstract：:For microdosimetric calculations event-by-event Monte Carlo (MC) methods are considered the most accurate. The main shortcoming of those methods is the extensive requirement for computational time. In this work we present an event-by-event MC code of low projectile energy electron and proton tracks for accelerated mic...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2013.09.009

    authors： Kalantzis G,Tachibana H

    更新日期：2014-01-01 00:00:00

  • Electronic health record with computerized decision support tools for the purposes of a pediatric cardiovascular heart disease screening program in Crete.

    abstract：BACKGROUND AND OBJECTIVE:Early detection of cardiovascular (CV) disease or associated risk factors during childhood is of paramount importance, allowing for early treatment or lifestyle modifications, respectively. The objective of this study was to describe the development of an electronic health record (EHR), with in...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2018.03.009

    authors： Chatzakis I,Vassilakis K,Lionis C,Germanakis I

    更新日期：2018-06-01 00:00:00

  • Assessing erectile neurogenic dysfunction from heart rate variability through a Generalized Linear Mixed Model framework.

    abstract：BACKGROUND:The low (LF) vs. high (HF) frequency energy ratio, computed from the spectral decomposition of heart beat intervals, has become a major tool in cardiac autonomic system control and sympatho-vagal balance studies. The (statistical) distributions of response variables designed from ratios of two quantities, su...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2009.11.001

    authors： Fernández EA,Souza Neto EP,Abry P,Macchiavelli R,Balzarini M,Cuzin B,Baude C,Frutoso J,Gharib C

    更新日期：2010-07-01 00:00:00

  • Parameter-dependent behavior of articular cartilage: 3D mechano-electrochemical computational model.

    abstract：BACKGROUND AND OBJECTIVE:Changes in mechano-electrochemical properties of articular cartilage play an essential role in the majority of cartilage diseases. Despite of this importance, the specific effect of each parameter into tissue behavior remains still obscure. Parametric computational modeling of cartilage can pro...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2015.09.018

    authors： Manzano S,Doblaré M,Doweidar MH

    更新日期：2015-12-01 00:00:00

  • MCML--Monte Carlo modeling of light transport in multi-layered tissues.

    abstract：:A Monte Carlo model of steady-state light transport in multi-layered tissues (MCML) has been coded in ANSI Standard C; therefore, the program can be used on various computers. Dynamic data allocation is used for MCML, hence the number of tissue layers and grid elements of the grid system can be varied by users at run ...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/0169-2607(95)01640-f

    authors： Wang L,Jacques SL,Zheng L

    更新日期：1995-07-01 00:00:00

  • Computerised algorithm of tumour-associated markers to monitor haematopoietic malignancy.

    abstract：:Hexosaminidase, polyamines and lipid-bound sialic acid are a few tumour-associated markers which are significantly elevated both in urine and serum of patients with haematopoietic malignancy, in direct correlation to dedifferentiation. Our computer database incorporates these parameters and predicts the clinical respo...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/0169-2607(90)90032-5

    authors： Venkatanarayanan S,Nagarajan B

    更新日期：1990-01-01 00:00:00

  • Experience of a small PACS in Tottori University Hospital.

    abstract：:Picture archiving and communications systems (PACS) are expected to become feasible as the way of total radiologic image management. As the first step towards computerized image management, we installed an experimental small PACS with a digital optical archive for magnetic resonance and digitized radiographic film ima...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/0169-2607(92)90040-e

    authors： Mizukawa K,Sawada S,Hirata Y,Kadohara S,Kotani K,Ohta Y

    更新日期：1992-05-01 00:00:00

  • How the gender of a victim character in a virtual scenario created to learn CPR protocol affects student nurses' performance.

    abstract：BACKGROUND AND OBJECTIVE:Virtual simulations recreate scenarios where student nurses can practice procedures in a safe and supervised manner and with no risk to the patient. Virtual scenarios include digital characters that reproduce human actions. Generally, these characters are modeled as males and restricted roles a...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章

    doi：10.1016/j.cmpb.2018.05.019

    authors： Boada I,Rodriguez-Benitez A,Thió-Henestrosa S,Olivet J,Soler J

    更新日期：2018-08-01 00:00:00

  • A human tissue and data resource: an overview of opportunities, challenges, and development of a provider/researcher partnership model.

    abstract：:As we continue to strive to apply the findings of in vitro and animal studies to human disease and transition from genomics to proteomics, we will experience an ever-increasing need for human tissues. A web based system that provides access to tissues repositories and associated data will best facilitate the access to...

    journal_title：Computer methods and programs in biomedicine

    pub_type： 杂志文章,评审

    doi：10.1016/s0169-2607(02)00002-0

    authors： Kort EJ,Campbell B,Resau JH

    更新日期：2003-02-01 00:00:00