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"Heart rate variability"

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https://www.readbyqxmd.com/read/28227974/heart-rate-variability-as-a-biomarker-for-sedation-depth-estimation-in-icu-patients
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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/28227284/on-the-pleasantness-of-a-haptic-stimulation-how-different-textures-can-be-recognized-through-heart-rate-variability-nonlinear-analysis
#13
Mimma Nardelli, Alberto Greco, Matteo Bianchi, Enzo Pasquale Scilingo, Gaetano Valenza, Mimma Nardelli, Alberto Greco, Matteo Bianchi, Enzo Pasquale Scilingo, Gaetano Valenza, Gaetano Valenza, Mimma Nardelli, Alberto Greco, Matteo Bianchi
The hedonic attributes of cutaneous elicitation play a crucial role in everyday life, influencing our behavior and psychophysical state. However, the correlation between such a hedonic aspect of touch and the Autonomic Nervous System (ANS)-related physiological response, which is intimately connected to emotions, still needs to be deeply investigated. This study reports on caress-like stimuli conveyed to the forearm of 32 healthy subjects through different fabrics actuated by a haptic device, which can control both the strength (i...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227273/body-position-classification-for-cardiorespiratory-measurement
#14
Marcel Mlynczak, Martin Berka, Wiktor Niewiadomski, Gerard Cybulski, Marcel Mlynczak, Martin Berka, Wiktor Niewiadomski, Gerard Cybulski, Marcel Mlynczak, Martin Berka, Gerard Cybulski, Wiktor Niewiadomski
Heart activity, or at least heart rate variability, is associated with body position. Our previous studies have confirmed that impedance pneumography may be used to record respiratory function, but the calibration coefficients for this method depend on position. Data were collected from 24 students (12 male, 12 female), who alternated positions between lying (on front, back, and right side), sitting and standing. Signals from an attached iPhone's internal sensors (accelerometer, gyroscope, magnetometer) were recorded and attitude relative to gravity was calculated...
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
#15
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/28227260/automated-detection-of-atrial-fibrillation-episode-using-novel-heart-rate-variability-features
#16
Mehrin Gilani, J Mikael Eklund, Masoud Makrehchi, Mehrin Gilani, J Mikael Eklund, Masoud Makrehchi, J Mikael Eklund, Masoud Makrehchi, Mehrin Gilani
Atrial fibrillation (AF) is one of the most common life-threatening arrhythmia affecting around six million adults in the US. Typical detection of AF requires tedious and manual analysis of ECG which can often delay medical intervention. With the advent of wearable devices that can accurately record the time interval between two heartbeats (RR interval), automated and timely detection of AF is now possible. In this paper, we engineer novel heart rate variability features based on linear and non-linear dynamics of RR intervals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227244/towards-development-of-a-mobile-rf-doppler-sensor-for-continuous-heart-rate-variability-and-blood-pressure-monitoring
#17
Insoo Kim, Yusuf A Bhagat, Insoo Kim, Yusuf A Bhagat, Insoo Kim, Yusuf A Bhagat
The standard in noninvasive blood pressure (BP) measurement is an inflatable cuff device based on the oscillometric method, which poses several practical challenges for continuous BP monitoring. Here, we present a novel ultra-wide band RF Doppler radar sensor for next-generation mobile interface for the purpose of characterizing fluid flow speeds, and for ultimately measuring cuffless blood flow in the human wrist. The system takes advantage of the 7.1~10.5 GHz ultra-wide band signals which can reduce transceiver complexity and power consumption overhead...
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
#18
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/28227197/identifying-individual-sleep-apnea-hypoapnea-epochs-using-smartphone-based-pulse-oximetry
#19
Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, J Mark Ansermino, Parastoo Dekhordi, Guy A Dumont, Ainara Garde
Sleep apnea, characterized by frequent pauses in breathing during sleep, poses a serious threat to the healthy growth and development of children. Polysomnography (PSG), the gold standard for sleep apnea diagnosis, is resource intensive and confined to sleep laboratories, thus reducing its accessibility. Pulse oximetry alone, providing blood oxygen saturation (SpO2) and blood volume changes in tissue (PPG), has the potential to identify children with sleep apnea. Thus, we aim to develop a tool for at-home sleep apnea screening that provides a detailed and automated 30 sec epoch-by-epoch sleep apnea analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227138/assessment-of-autonomic-neurodevelopment-in-the-mouse-fetuses-by-using-fetal-electrocardiography
#20
Ahsan H Khandoker, Thuraia Al Khoori, Takuya Ito, Rika Sugibayashi, Yoshitaka Kimura, Ahsan H Khandoker, Thuraia Al Khoori, Takuya Ito, Rika Sugibayashi, Yoshitaka Kimura, Thuraia Al Khoori, Yoshitaka Kimura, Rika Sugibayashi, Takuya Ito, Ahsan H Khandoker
Fetal Electrocardiography (FECG) offers unique capabilities for assessment of beat-to-beat fetal heart rate (FHR) and fetal heart rate variability (FHRV), which are indirect markers of autonomic nervous system, its development. In this study the fetal ECG signals, FHR and FHRV are successfully recorded to assess the neurodevelopment in fetal mice in the second and third trimester from days 12.5 to 18.5 by using direct insertion of fetal ECG electrodes in the uterine. FHR increases from day 12.5 till 15.5 reaching a plateau and then shows a sudden increase on the day 18...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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