keyword
MENU ▼
Read by QxMD icon Read
search

Heart rate variability

keyword
https://www.readbyqxmd.com/read/28231274/early-skin-to-skin-contact-after-cesarean-section-a-randomized-clinical-pilot-study
#1
Martina Kollmann, Lisa Aldrian, Anna Scheuchenegger, Eva Mautner, Sereina A Herzog, Berndt Urlesberger, Reinhard B Raggam, Uwe Lang, Barbara Obermayer-Pietsch, Philipp Klaritsch
OBJECTIVE: Early bonding by skin-to-skin contact (SSC) has been demonstrated to be beneficial for mothers and newborns following vaginal delivery. The aim of this study was to investigate the impact of intraoperative bonding (early SSC) after cesarean section on neonatal adaptation, maternal pain and stress response. STUDY DESIGN: This prospective, randomized-controlled pilot study was performed at a single academic tertiary hospital (Department of Obstetrics and Gynecology, Medical University of Graz, Austria) between September 2013 and January 2014...
2017: PloS One
https://www.readbyqxmd.com/read/28228721/patients-with-chronic-spinal-cord-injury-exhibit-reduced-autonomic-modulation-during-an-emotion-recognition-task
#2
Gonzalo Varas-Díaz, Enzo P Brunetti, Gonzalo Rivera-Lillo, Pedro E Maldonado
Spinal cord injury (SCI) is a devastating event for individuals, who frequently develop motor and sensory impairment as well as autonomic dysfunction. Previous studies reported that autonomic activity plays a major role in social cognition and that difficulties in the ability to interpret social information are commonly observed in a variety of mental disorders, which in turn correlate with a poor autonomic nervous system (ANS) regulation. It is well established that subjects with SCI have an alteration in ANS regulation mechanisms...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28228632/physical-and-psychological-characteristics-of-the-community-dwelling-elderly-with-heart-disease
#3
Takeshi Kera, Hisashi Kawai, Hideyo Yoshida, Hirohiko Hirano, Motonaga Kojima, Yoshinori Fujiwara, Kazushige Ihara, Shuichi Obuchi
Objectives Although the survival rates of patients with heart diseases, such as myocardial infarction and heart failure, have increased, the incidence of heart disease in elderly individuals has also increased. We compared characteristics of the community-dwelling elderly with heart diseases (heart disease group) and without heart diseases (non-heart disease group).Methods A total of 758 elderly individuals participated in our survey ("Otassha-kensin") in 2014. The heart disease group (47 men, 28 women) and the non-heart disease group (263 men, 420 women) were selected from among these participants...
2017: [Nihon Kōshū Eisei Zasshi] Japanese Journal of Public Health
https://www.readbyqxmd.com/read/28228584/high-cardiorespiratory-fitness-in-early-to-late-middle-age-preserves-the-cortical-circuitry-associated-with-brain-heart-integration-during-volitional-exercise
#4
Katelyn N Wood, Torri A Luchyshyn, J Kevin Shoemaker
This study tested the hypothesis that high cardiorespiratory fitness (VO2max) preserves the cortical circuitry associated with cardiac arousal during exercise in middle to older-aged individuals. Observations of changes in heart rate (HR) and in cortical blood oxygenation level dependent (BOLD) images were made in 52 healthy, active individuals (45-73 years; 16 female) across a range of fitness (26-66mL/kg/min). Seven repeated bouts of isometric handgrip (IHG) at 40% MVC force were performed using functional magnetic resonance imaging at 3-Tesla, with each contraction lasting 20 sec and separated by 40 sec of rest...
February 22, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28228335/alterations-in-cardiac-autonomic-control-in-spinal-cord-injury
#5
Fin Biering-Sørensen, Tor Biering-Sørensen, Nan Liu, Lasse Malmqvist, Jill Maria Wecht, Andrei Krassioukov
A spinal cord injury (SCI) interferes with the autonomic nervous system (ANS). The effect on the cardiovascular system will depend on the extent of damage to the spinal/central component of ANS. The cardiac changes are caused by loss of supraspinal sympathetic control and relatively increased parasympathetic cardiac control. Decreases in sympathetic activity result in heart rate and the arterial blood pressure changes, and may cause arrhythmias, in particular bradycardia, with the risk of cardiac arrest in those with cervical or high thoracic injuries...
February 15, 2017: Autonomic Neuroscience: Basic & Clinical
https://www.readbyqxmd.com/read/28228307/comparative-study-of-cardiac-autonomic-status-by-heart-rate-variability-between-under-treatment-normotensive-and-hypertensive-known-type-2-diabetics
#6
Jayesh D Solanki, Sanket D Basida, Hemant B Mehta, Sunil J Panjwani, Bhakti P Gadhavi
BACKGROUND: Co-existence of hypertension is known in three quarter of Indian type 2 diabetics, this duo having adverse additive effect on cardiovascular health including dysautonomia. Latter can be measured by simple 5min heart rate variability (HRV) using simple electrocardiogram, which if reduced indicates cardiac risk. OBJECTIVE: We compared HRV parameters between hypertensive and normotensive type 2 diabetics, looking for significant difference if any. MATERIALS AND METHODS: 98 hypertensive and 40 normotensive type 2 diabetics treated as outpatients were evaluated for disease control and risk stratification...
January 2017: Indian Heart Journal
https://www.readbyqxmd.com/read/28227974/heart-rate-variability-as-a-biomarker-for-sedation-depth-estimation-in-icu-patients
#7
Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, M Brandon Westover, Sunil B Nagaraj, Siddharth Biswal, Sowmya M Ramaswamy, Lauren M Mcclain, David W Zhou, Emily J Boyle, Patrick L Purdon, Eric S Rosenthal
An automated patient-specific system to classify the level of sedation in ICU patients using heart rate variability signal is presented in this paper. ECG from 70 mechanically ventilated adult patients with administered sedatives in an ICU setting were used to develop a support vector machine based system for sedation depth monitoring using several heart rate variability measures. A leave-one-subject-out cross validation was used for classifier training and performance evaluations. The proposed patient-specific system provided a sensitivity, specificity and an AUC of 64%, 84...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227934/effect-of-embedding-dimension-on-complexity-measures-in-identifying-arrhythmia
#8
Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Marimuthu Palaniswami, Radhagayathri K U Udhayakumar, Peng Li, Chandan Karmakar
Entropy measures like Approximate entropy (ApEn) and Sample entropy (SampEn) are well established tools to analyze Heart Rate Variability (HRV) data. Critical parameters involved in these computations namely embedding dimension m and tolerance r are in most cases assumed to be 2 and 0.2*signal SD (standard devaition) respectively. Such assumptions do not work fairly across data sets and thus create misleading results in many cases. Problems with r have been addressed with the advent of newer entropy measures like Permutation entropy (PE), Fuzzy entropy (FuzzyEn) and Distribution entropy (DistEn) that simply eliminate, modify or replace r from calculations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227932/influence-of-embedding-dimension-on-distribution-entropy-in-analyzing-heart-rate-variability
#9
Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Marimuthu Palaniswami, Radhagayathri K Udhayakumar, Peng Li, Chandan Karmakar
Distribution entropy (DistEn) is a recent measure of complexity that is used to analyze Heart Rate Variability (HRV) data. DistEn which is a function of data length N, number of bins M and embedding dimension m is known to be stable and consistent with respect to parameters N and M respectively. Also, (N, M) are known to have a combined effect in deciding performance of DistEn as a classification feature. But, all such analysis have mostly ignored the influence of the third parameter m on DistEn properties...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227931/long-range-correlations-in-amplitude-variability-of-hf-and-lf-components-of-heart-rate-variability
#10
Yuki Miki, Yasuyuki Suzuki, Eiichi Watanabe, Junichiro Hayano, Yoshiharu Yamamoto, Taishin Nomura, Ken Kiyono, Yuki Miki, Yasuyuki Suzuki, Eiichi Watanabe, Junichiro Hayano, Yoshiharu Yamamoto, Taishin Nomura, Ken Kiyono
For the assessment of autonomic nervous system activity based on heart rate variability (HRV) analysis, characteristics of high-frequency (HF; 0.15 to 0.4 Hz) and low-frequency (LF; 0.04 to 0.15 Hz) components have been widely employed. HF and LF band powers quantified by power spectral analysis have most commonly been used in the conventional studies; the physiological significance of these measures has also been extensively studied. However, nonlinear characteristics of HF and LF components have not been well established...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227702/socioeconomic-status-age-and-heart-rate-variability-in-a-bangladeshi-community
#11
Nishat E-Sharmin Trisha, Herbert F Jelinek, Mika P Tarvainen, David J Cornforth, Dewan S Alam, Megan Smith, Nishat E-Sharmin Trisha, Herbert F Jelinek, Mika P Tarvainen, David J Cornforth, Dewan S Alam, Megan Smith, Herbert F Jelinek, David J Cornforth, Megan Smith, Nishat E-Sharmin Trisha, Dewan S Alam, Mika P Tarvainen
Socioeconomic status (SES) is a risk factor for cardiovascular disease (CVD) and either low or high heart rate variability (HRV) at rest has been shown to predict cardiovascular morbidity and mortality. The study investigated the extent HRV features can predict SES. Four hundred and twenty eight people were randomly selected from the commercial districts (high SES) and slum areas (low SES) within Dhaka city. Demographic, clinical, and HRV features were recorded. Of the clinical variables age, waist circumference and diastolic blood pressure (p<;0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227701/heart-rate-reactivity-associated-to-positive-and-negative-food-and-non-food-visual-stimuli
#12
Pekka Kuoppa, Mika P Tarvainen, Leila Karhunen, Johanna Narvainen, Pekka Kuoppa, Mika P Tarvainen, Leila Karhunen, Johanna Narvainen, Leila Karhunen, Mika P Tarvainen, Pekka Kuoppa, Johanna Narvainen
Using food as a stimuli is known to cause multiple psychophysiological reactions. Heart rate variability (HRV) is common tool for assessing physiological reactions in autonomic nervous system. However, the findings in HRV related to food stimuli have not been consistent. In this paper the quick changes in HRV related to positive and negative food and non-food visual stimuli are investigated. Electrocardiogram (ECG) was measured from 18 healthy females while being stimulated with the pictures. Subjects also filled Three-Factor Eating Questionnaire to determine their eating behavior...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227626/design-and-prototyping-of-a-wristband-type-wireless-photoplethysmographic-device-for-heart-rate-variability-signal-analysis
#13
M Ghamari, C Soltanpur, S Cabrera, R Romero, R Martinek, H Nazeran, M Ghamari, C Soltanpur, S Cabrera, R Romero, R Martinek, H Nazeran, R Martinek, R Romero, C Soltanpur, S Cabrera, M Ghamari
Heart Rate Variability (HRV) signal analysis provides a quantitative marker of the Autonomic Nervous System (ANS) function. A wristband-type wireless photoplethysmographic (PPG) device was custom-designed to collect and analyze the arterial pulse in the wrist. The proposed device is comprised of an optical sensor to monitor arterial pulse, a signal conditioning unit to filter and amplify the analog PPG signal, a microcontroller to digitize the analog PPG signal, and a Bluetooth module to transfer the data to a smart device...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227613/sleep-stage-classification-by-non-contact-vital-signs-indices-using-doppler-radar-sensors
#14
Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa
Disturbed sleep has become more common in recent years. To improve the quality of sleep, undergoing sleep observation has gained interest as a means to resolve possible problems. In this paper, we evaluate a non-restrictive and non-contact method for classifying real-time sleep stages and report on its potential applications. The proposed system measures heart rate (HR), heart rate variability (HRV), body movements, and respiratory signals of a sleeping person using two 24-GHz microwave radars placed beneath the mattress...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227604/non-invasive-heart-rate-monitoring-system-using-giant-magneto-resistance-sensor
#15
Kubera Kalyan, Vinit Kumar Chugh, C S Anoop, Kubera Kalyan, Vinit Kumar Chugh, C S Anoop, Vinit Kumar Chugh, Kubera Kalyan, C S Anoop
A simple heart rate (HR) monitoring system designed and developed using the Giant Magneto-Resistance (GMR) sensor is presented in this paper. The GMR sensor is placed on the wrist of the human and it provides the magneto-plethysmographic signal. This signal is processed by the simple analog and digital instrumentation stages to render the heart rate indication. A prototype of the system has been built and test results on 26 volunteers have been reported. The error in HR estimation of the system is merely 1 beat per minute...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227598/real-time-physiological-and-facial-monitoring-for-safe-driving
#16
Yu-Lung Chang, Yen-Cheng Feng, Oscal T-C Chen, Yu-Lung Chang, Yen-Cheng Feng, Oscal T-C Chen, Yen-Cheng Feng, Oscal T-C Chen, Yu-Lung Chang
This work is to develop an intelligent driver-assistance system which can perceive the physiological state of a driver to avoid fatigue driving. The proposed system includes a camera, a wireless ElectroCardioGram (ECG) sensor patch, and a computation platform. The camera in front of a driver is to catch a face image which is processed to obtain features of a mouth for identifying a yawn. The sensor patch records ECG signals which are computed to yield six Heart Rate Variability (HRV) parameters. Seven healthy subjects of 6 males and 1 female had individually driven a car, which was embedded with our system, for 3 hours at a well-known route, mostly in a freeway road...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227374/measuring-pulse-rate-variability-using-long-range-non-contact-imaging-photoplethysmography
#17
Ethan B Blackford, Alyssa M Piasecki, Justin R Estepp, Ethan B Blackford, Alyssa M Piasecki, Justin R Estepp, Ethan B Blackford, Alyssa M Piasecki, Justin R Estepp
Camera-based measurement of the blood volume pulse via non-contact, imaging photoplethysmography is a very popular approach for measuring pulse rate using a remote imaging sensor. Comparatively less attention has been paid to the usefulness of the method for measuring features of pulse rate variability, and even less focus has been put on the accuracy of any cardiac activity feature that can be achieved at long imager-to-subject distances. In this study, video was recorded from 19 participants, while at rest, at a distance of 25 meters from the imaging sensor...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227344/detection-of-mental-stress-due-to-oral-academic-examination-via-ultra-short-term-hrv-analysis
#18
R Castaldo, W Xu, P Melillo, L Pecchia, L Santamaria, C James, R Castaldo, W Xu, P Melillo, L Pecchia, L Santamaria, C James, R Castaldo, C James, W Xu, P Melillo, L Santamaria, L Pecchia
Mental stress may cause cognitive dysfunctions, cardiovascular disorders and depression. Mental stress detection via short-term Heart Rate Variability (HRV) analysis has been widely explored in the last years, while ultra-short term (less than 5 minutes) HRV has been not. This study aims to detect mental stress using linear and non-linear HRV features extracted from 3 minutes ECG excerpts recorded from 42 university students, during oral examination (stress) and at rest after a vacation. HRV features were then extracted and analyzed according to the literature using validated software tools...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227289/modeling-volatility-in-heat-rate-variability
#19
Argentina Leite, Maria Eduarda Silva, Ana Paula Rocha, Argentina Leite, Maria Eduarda Silva, Ana Paula Rocha, Argentina Leite, Ana Paula Rocha, Maria Eduarda Silva
Modeling Heart Rate Variability (HRV) data has become important for clinical applications and as a research tool. These data exhibit long memory and time-varying conditional variance (volatility). In HRV, volatility is traditionally estimated by recursive least squares combined with short memory AutoRegressive (AR) models. This work considers a parametric approach based on long memory Fractionally Integrated AutoRegressive Moving Average (ARFIMA) models with heteroscedastic errors. To model the heteroscedasticity nonlinear Generalized Autoregressive Conditionally Heteroscedastic (GARCH) and Exponential Generalized Autoregressive Conditionally Heteroscedastic (EGARCH) models are considered...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227288/baseline-fetal-heart-rate-analysis-eleven-automatic-methods-versus-expert-consensus
#20
Agathe Houze de l'Aulnoit, Samuel Boudet, Romain Demailly, Laurent Peyrodie, Regis Beuscart, Denis Houze de l'Aulnoit, Agathe Houze de l'Aulnoit, Samuel Boudet, Romain Demailly, Laurent Peyrodie, Regis Beuscart, Denis Houze de l'Aulnoit, Regis Beuscart, Laurent Peyrodie, Romain Demailly, Samuel Boudet
Visual analysis of fetal heart rate (FHR) during labor is subject to inter- and intra-observer variability that is particularly troublesome for anomalous recordings. Automatic FHR analysis has been proposed as a promising way to reduce this variability. The major difficulty with automatic analysis is to determine the baseline from which accelerations and decelerations will be detected. Eleven methods for automatic FHR analysis were reprogrammed using description from the literature and applied to 66 FHR recordings collected during the first stage of delivery...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
keyword
keyword
2553
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"