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https://www.readbyqxmd.com/read/28228721/patients-with-chronic-spinal-cord-injury-exhibit-reduced-autonomic-modulation-during-an-emotion-recognition-task
#1
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/28228588/investigation-of-the-role-of-protein-kinase-d-in-human-rhinovirus-replication
#2
Anabel Guedán, Dawid Swieboda, Mark Charles, Marie Toussaint, Sebastian L Johnston, Amin Asfor, Anusha Panjwani, Tobias J Tuthill, Henry Danahay, Tony Raynham, Aurelie Mousnier, Roberto Solari
Picornavirus replication is known to cause extensive remodelling of Golgi and endoplasmic reticulum membranes and a number of the host proteins involved in the viral replication complex have been identified, including oxysterol binding protein (OSBP) and phosphatidylinositol 4-kinase III beta (PI4KB). Since both OSBP and PI4KB are substrates for protein kinase D (PKD) and PKD is known to be involved in the control of Golgi vesicular and lipid transport, we hypothesised that PKD played a role in viral replication...
February 22, 2017: Journal of Virology
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
#3
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/28227934/effect-of-embedding-dimension-on-complexity-measures-in-identifying-arrhythmia
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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/28227598/real-time-physiological-and-facial-monitoring-for-safe-driving
#11
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/28227344/detection-of-mental-stress-due-to-oral-academic-examination-via-ultra-short-term-hrv-analysis
#12
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
#13
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/28227262/pulse-transit-time-and-heart-rate-variability-in-sleep-staging
#14
Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic, Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic, Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic
This paper presents a new and robust algorithm for detection of sleep stages by using the lead I of the Electrocardiography (ECG) and a fingertip Photoplethysmography (PPG) sensor, validated using multiple overnight PSG recordings consisting of 20 human subjects (9 insomniac and 11 healthy). Heart Rate Variability (HRV) and Pulse Transit Time (PTT) biomarkers which were extracted from ECG and PPG biosignals then employed to extract features. Distance Weighted k-Nearest Neighbours (DWk-NN) was used as classifier to differentiate sleep epochs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227199/sleep-apnoea-classification-using-heart-rate-variability-ecg-derived-respiration-and-cardiopulmonary-coupling-parameters
#15
Philip de Chazal, Nadi Sadr, Philip de Chazal, Nadi Sadr, Nadi Sadr, Philip de Chazal
We investigated using heart rate variability (HRV), ECG derived respiration and cardiopulmonary coupling features (CPC) calculated from night-time single lead ECG signals to classify one-minute epochs for the presence or absence of sleep apnoea. We used the 35 training recordings of the M.I.T. Physionet Apnea-ECG database. Performance was assessed with leave-one-record-out cross-validation. The best classification performance was achieved using the CPC features in conjunction with the time-domain based HRV parameters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227137/selective-heart-rate-variability-analysis-to-account-for-uterine-activity-during-labor-and-improve-classification-of-fetal-distress
#16
G J J Warmerdam, R Vullings, J O E H Van Laar, M B Van der Hout-Van der Jagt, J W M Bergmans, L Schmitt, S G Oei, G J J Warmerdam, R Vullings, J O E H Van Laar, M B Van der Hout-Van der Jagt, J W M Bergmans, L Schmitt, S G Oei, M B Van Der Hout-Van Der Jagt, R Vullings, S G Oei, J O E H Van Laar, J W M Bergmans, G J J Warmerdam, L Schmitt
Cardiotocography (CTG) is currently the most often used technique for detection of fetal distress. Unfortunately, CTG has a poor specificity. Recent studies suggest that, in addition to CTG, information on fetal distress can be obtained from analysis of fetal heart rate variability (HRV). However, uterine contractions can strongly influence fetal HRV. The aim of this study is therefore to investigate whether HRV analysis for detection of fetal distress can be improved by distinguishing contractions from rest periods...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227136/can-ppg-be-used-for-hrv-analysis
#17
N Pinheiro, R Couceiro, J Henriques, J Muehlsteff, I Quintal, L Goncalves, P Carvalho, N Pinheiro, R Couceiro, J Henriques, J Muehlsteff, I Quintal, L Goncalves, P Carvalho, P Carvalho, J Muehlsteff, L Goncalves, N Pinheiro, J Henriques, I Quintal, R Couceiro
Heart rate variability (HRV) represents one of the most promising markers of the autonomic nervous system (ANS) regulation. However, it requires the acquisition of the ECG signal in order to reliably detect the RR intervals, which is not always easily and comfortably available in personal health applications. Additionally, due to progress in single spot optical sensors, photoplethysmography (PPG) is an interesting alternative for heartbeat interval measurements, since it is a more convenient and a less intrusive measurement technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227075/quantitative-heartbeat-coupling-measures-in-human-horse-interaction
#18
Antonio Lanata, Andrea Guidi, Gaetano Valenza, Paolo Baragli, Enzo Pasquale Scilingo, Antonio Lanata, Andrea Guidi, Gaetano Valenza, Paolo Baragli, Enzo Pasquale Scilingo, Gaetano Valenza, Andrea Guidi, Enzo Pasquale Scilingo, Antonio Lanata, Paolo Baragli
We present a study focused on a quantitative estimation of a human-horse dynamic interaction. A set of measures based on magnitude and phase coupling between heartbeat dynamics of both humans and horses in three different conditions is reported: no interaction, visual/olfactory interaction and grooming. Specifically, Magnitude Squared Coherence (MSC), Mean Phase Coherence (MPC) and Dynamic Time Warping (DTW) have been used as estimators of the amount of coupling between human and horse through the analysis of their heart rate variability (HRV) time series in a group of eleven human subjects, and one horse...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227072/short-term-assessment-of-autonomic-nervous-system-as-a-potential-tool-to-quantify-pain-experience
#19
Arto J Hautala, Jaro Karppinen, Tapio Seppanen, Arto J Hautala, Jaro Karppinen, Tapio Seppanen, Jaro Karppinen, Arto J Hautala, Tapio Seppanen
Various pain conditions may result in altered autonomic nervous system regulation. We evaluated whether autonomic regulation, analyzed with short-term heart rate variability (HRV), differs between low back pain (LBP) patients and healthy controls. Additionally, we tested if short-term HRV recordings are feasible and informative in planning home monitoring of LBP patients. The study population consisted of 16 volunteers (8 LBP patients and 8 healthy subjects) (age 42±10 years, body mass index 26±4 kg/m(2), 7 men and 9 women)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227055/hrv4training-large-scale-longitudinal-training-load-analysis-in-unconstrained-free-living-settings-using-a-smartphone-application
#20
Marco Altini, Oliver Amft, Marco Altini, Oliver Amft, Oliver Amft, Marco Altini
We describe an approach to support athletes at various fitness levels in their training load analysis using heart rate (HR) and heart rate variability (HRV). A smartphone-based application (HRV4Training) was developed that captures heart activity over one to five minutes using photoplethysmography (PPG) and derives HR and HRV features. HRV4Training integrated a guide for an early morning spot measurement protocol and a questionnaire to capture self-reported training activity. The smartphone application was made publicly available for interested users to quantify training effect...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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