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https://www.readbyqxmd.com/read/29994358/autonomic-nervous-system-measurement-in-hyperbaric-environments-using-ecg-and-ppg-signals
#1
Alberto Hernando, M Pelaez, Maria Teresa Lozano Albalate, Montserrat Aiger, David Izquierdo, Alberto Sanchez, Maria Isabel Lopez-Jurado, Juan Ignacio Moura, Joaquin Fidalgo, Jesus Lazaro, Eduardo Gil
The main aim of this work was to characterise the Autonomic Nervous System (ANS) response in hyperbaric environments using electrocardiogram (ECG) and pulse-photoplethysmogram (PPG) signals. To that end, 26 subjects were introduced into a hyperbaric chamber and five stages with different atmospheric pressures (1 atm; descent to 3 and 5 atm; ascent to 3 and 1 atm) were recorded. Respiratory information was extracted from the ECG and PPG signals and a combined respiratory rate was studied. This information was also used to analyse Heart Rate Variability (HRV) and Pulse Rate Variability (PRV)...
January 25, 2018: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/29668452/can-wearable-devices-accurately-measure-heart-rate-variability-a-systematic-review
#2
REVIEW
Konstantinos Georgiou, Andreas V Larentzakis, Nehal N Khamis, Ghadah I Alsuhaibani, Yasser A Alaska, Elias J Giallafos
BACKGROUND: A growing number of wearable devices claim to provide accurate, cheap and easily applicable heart rate variability (HRV) indices. This is mainly accomplished by using wearable photoplethysmography (PPG) and/or electrocardiography (ECG), through simple and non-invasive techniques, as a substitute of the gold standard RR interval estimation through electrocardiogram. Although the agreement between pulse rate variability (PRV) and HRV has been evaluated in the literature, the reported results are still inconclusive especially when using wearable devices...
March 1, 2018: Folia Medica
https://www.readbyqxmd.com/read/29666670/analysis-of-a-pulse-rate-variability-measurement-using-a-smartphone-camera
#3
András Bánhalmi, János Borbás, Márta Fidrich, Vilmos Bilicki, Zoltán Gingl, László Rudas
Background: Heart rate variability (HRV) provides information about the activity of the autonomic nervous system. Because of the small amount of data collected, the importance of HRV has not yet been proven in clinical practice. To collect population-level data, smartphone applications leveraging photoplethysmography (PPG) and some medical knowledge could provide the means for it. Objective: To assess the capabilities of our smartphone application, we compared PPG (pulse rate variability (PRV)) with ECG (HRV)...
2018: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29378598/video-pulse-rate-variability-analysis-in-stationary-and-motion-conditions
#4
Angel Melchor Rodríguez, J Ramos-Castro
BACKGROUND: In the last few years, some studies have measured heart rate (HR) or heart rate variability (HRV) parameters using a video camera. This technique focuses on the measurement of the small changes in skin colour caused by blood perfusion. To date, most of these works have obtained HRV parameters in stationary conditions, and there are practically no studies that obtain these parameters in motion scenarios and by conducting an in-depth statistical analysis. METHODS: In this study, a video pulse rate variability (PRV) analysis is conducted by measuring the pulse-to-pulse (PP) intervals in stationary and motion conditions...
January 29, 2018: Biomedical Engineering Online
https://www.readbyqxmd.com/read/29135450/influence-of-acquisition-frame-rate-and-video-compression-techniques-on-pulse-rate-variability-estimation-from-vppg-signal
#5
Luca Cerina, Luca Iozzia, Luca Mainardi
In this paper, common time- and frequency-domain variability indexes obtained by pulse rate variability (PRV) series extracted from video-photoplethysmographic signal (vPPG) were compared with heart rate variability (HRV) parameters calculated from synchronized ECG signals. The dual focus of this study was to analyze the effect of different video acquisition frame-rates starting from 60 frames-per-second (fps) down to 7.5 fps and different video compression techniques using both lossless and lossy codecs on PRV parameters estimation...
November 14, 2017: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/29065639/a-real-time-analysis-method-for-pulse-rate-variability-based-on-improved-basic-scale-entropy
#6
Yongxin Chou, Ruilei Zhang, Yufeng Feng, Mingli Lu, Zhenli Lu, Benlian Xu
Base scale entropy analysis (BSEA) is a nonlinear method to analyze heart rate variability (HRV) signal. However, the time consumption of BSEA is too long, and it is unknown whether the BSEA is suitable for analyzing pulse rate variability (PRV) signal. Therefore, we proposed a method named sliding window iterative base scale entropy analysis (SWIBSEA) by combining BSEA and sliding window iterative theory. The blood pressure signals of healthy young and old subjects are chosen from the authoritative international database MIT/PhysioNet/Fantasia to generate PRV signals as the experimental data...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/28918214/efficient-noise-tolerant-estimation-of-heart-rate-variability-using-single-channel-photoplethysmography
#7
Reza Firoozabadi, Eric D Helfenbein, Saeed Babaeizadeh
BACKGROUND: The feasibility of using photoplethysmography (PPG) for estimating heart rate variability (HRV) has been the subject of many recent studies with contradicting results. Accurate measurement of cardiac cycles is more challenging in PPG than ECG due to its inherent characteristics. METHODS: We developed a PPG-only algorithm by computing a robust set of medians of the interbeat intervals between adjacent peaks, upslopes, and troughs. Abnormal intervals are detected and excluded by applying our criteria...
November 2017: Journal of Electrocardiology
https://www.readbyqxmd.com/read/28717902/fusion-of-heart-rate-variability-and-pulse-rate-variability-for-emotion-recognition-using-lagged-poincare-plots
#8
Atefeh Goshvarpour, Ataollah Abbasi, Ateke Goshvarpour
Designing an efficient automatic emotion recognition system based on physiological signals has attracted great interests within the research of human-machine interactions. This study was aimed to classify emotional responses by means of a simple dynamic signal processing technique and fusion frameworks. The electrocardiogram and finger pulse activity of 35 participants were recorded during rest condition and when subjects were listening to music intended to stimulate certain emotions. Four emotion categories, including happiness, sadness, peacefulness, and fear were chosen...
September 2017: Australasian Physical & Engineering Sciences in Medicine
https://www.readbyqxmd.com/read/28502104/assessing-pain-intensity-using-photoplethysmography-signals-in-chronic-myofascial-pain-syndrome
#9
Jing-Jhao Ye, Kuan-Ting Lee, Ying-Yu Chou, Hong-Hai Sie, Ru-Nan Huang, Chiung-Cheng Chuang
BACKGROUND: Efficacy of pain assessment is the basis for effective therapy. Clinically, assessing pain is by subjective scale, but these methods have some shortcomings. Therefore, studies have been conducted on assessment of pain using physiological signals. Photoplethysmography (PPG) signals provide much information about the cardiovascular system. PPG-derived parameters (PPG parameters) reflect nociceptive stimulation, and obtain an approximation of the R-R interval from the PPG period...
March 2018: Pain Practice: the Official Journal of World Institute of Pain
https://www.readbyqxmd.com/read/28268930/can-ppg-be-used-for-hrv-analysis
#10
N Pinheiro, R Couceiro, J Henriques, J Muehlsteff, I Quintal, L Goncalves, P Carvalho
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/28227136/can-ppg-be-used-for-hrv-analysis
#11
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/27911348/comparison-between-heart-rate-variability-and-pulse-rate-variability-during-different-sleep-stages-for-sleep-apnea-patients
#12
COMPARATIVE STUDY
Shuangyan Liu, Jing Teng, Xianghua Qi, Shoushui Wei, Chengyu Liu
BACKGROUND: The usefulness of heart rate variability (HRV) in the clinical research has been verified in numerous studies. However, it is controversy that using pulse rate variability (PRV) as a surrogate of HRV in different clinical applications. OBJECTIVE: We aimed to investigate whether PRV extracted from finger pulse photoplethysmography (Pleth) signal could substitute HRV from ECG signal during different sleep stages by analyzing the common time-domain, frequency-domain and non-linear indices...
2017: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/27681456/relationships-between-heart-rate-variability-and-pulse-rate-variability-obtained-from-video-ppg-signal-using-zca
#13
Luca Iozzia, Luca Cerina, Luca Mainardi
In this paper, classical time- and frequency-domain variability indexes obtained by pulse rate variability (PRV) series extracted from video-photoplethysmography signals (vPPG) were compared with heart rate variability (HRV) parameters extracted from ECG signals. The study focuses on the analysis of the changes observed during a rest-to-stand manoeuvre (a mild sympathetic stimulus) performed on 60 young, normal subjects (age: [Formula: see text] years). The objective is to evaluate if video-derived PRV indexes may replace HRV in the assessment of autonomic responses to external stimulation...
November 2016: Physiological Measurement
https://www.readbyqxmd.com/read/27063926/comparison-of-pulse-rate-variability-and-heart-rate-variability-for-hypoglycemia-syndrome
#14
Şükrü Okkesim, Gamze Çelik, Mustafa S Yıldırım, Mahmut M İlhan, Özcan Karaman, Ertuğrul Taşan, Sadık Kara
BACKGROUND: Heart rate variability (HRV) is a signal obtained from RR intervals of electrocardiography (ECG) signals to evaluate the balance between the sympathetic nervous system and the parasympathetic nervous system; not only HRV but also pulse rate variability (PRV) extracted from finger pulse plethysmography (PPG) can reflect irregularities that may occur in heart rate and control procedures. OBJECTIVES: The purpose of this study is to compare the HRV and PRV during hypoglycemia in order to evaluate the features that computed from PRV that can be used in detection of hypoglycemia...
May 17, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/26737585/pulse-rate-variability-analysis-by-video-using-face-detection-and-tracking-algorithms
#15
A Melchor Rodriguez, J Ramos Castro
Heart rate variability (HRV) is a physiological parameter which has increased its importance in recent years due to its relationship with the autonomic nervous system (ANS) and cardiovascular disorders. In this work the pulse rate variability (PRV) is measured as a surrogate measurement of HRV using only a video of the face of the subject. Because of pulse rate signals obtained by video are largely affected by the person movements and the analyzed region of interest (ROI), we propose the application of face detection and tracking algorithms as a solution to the artifacts produced by these factors...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26668634/effect-of-changes-in-sympathovagal-balance-on-the-accuracy-of-heart-rate-variability-obtained-from-photoplethysmography
#16
Xiang Chen, Yuan-Yuan Huang, Feng Yun, Tian-Jun Chen, Jin Li
Heart rate variability (HRV) obtained using photoplethysmography (PPG), which is also known as pulse rate variability (PRV), has already been used in clinical practice. However, it is uncertain whether PRV reflects changes in autonomic nervous function accurately. The aim of the present study was to evaluate quantitatively the effect of alterations in the sympathovagal balance on the agreement between PRV and HRV from electrocardiographs (ECG). Healthy subjects (male, 26; female, 7; age, 22-25 years old) participated in the present study...
December 2015: Experimental and Therapeutic Medicine
https://www.readbyqxmd.com/read/26511754/ambient-temperature-effect-on-pulse-rate-variability-as-an-alternative-to-heart-rate-variability-in-young-adult
#17
Hangsik Shin
Pulse rate variability (PRV) is a promising physiological and analytic technique used as a substitute for heart rate variability (HRV). PRV is measured by pulse wave from various devices including mobile and wearable devices but HRV is only measured by an electrocardiogram (ECG). The purpose of this study was to evaluate PRV and HRV at various ambient temperatures and elaborate on the interchangeability of PRV and HRV. Twenty-eight healthy young subjects were enrolled in the experiment. We prepared temperature-controlled rooms and recorded the ECG and photoplethysmography (PPG) under temperature-controlled, constant humidity conditions...
December 2016: Journal of Clinical Monitoring and Computing
https://www.readbyqxmd.com/read/26468523/comparative-in-vitro-and-in-vivo-studies-of-porcine-rotavirus-g9p-13-and-human-rotavirus-wa-g1p-8
#18
COMPARATIVE STUDY
Lulu Shao, David D Fischer, Sukumar Kandasamy, Abdul Rauf, Stephanie N Langel, David E Wentworth, Karla M Stucker, Rebecca A Halpin, Ham Ching Lam, Douglas Marthaler, Linda J Saif, Anastasia N Vlasova
UNLABELLED: The changing epidemiology of group A rotavirus (RV) strains in humans and swine, including emerging G9 strains, poses new challenges to current vaccines. In this study, we comparatively assessed the pathogenesis of porcine RV (PRV) G9P[13] and evaluated the short-term cross-protection between this strain and human RV (HRV) Wa G1P[8] in gnotobiotic pigs. Complete genome sequencing demonstrated that PRV G9P[13] possessed a human-like G9 VP7 genotype but shared higher overall nucleotide identity with historic PRV strains...
January 1, 2016: Journal of Virology
https://www.readbyqxmd.com/read/26204736/-analysis-of-pulse-rate-variability-and-its-application-to-wearable-smart-devices
#19
Bo Shi, Fasheng Chen, Jianfang Chen, Young Tsau
In this paper, a reflection type photoelectric pulse wave sensor was designed for short-term pulse rate variability analysis. Photoplethysmography (PPG) signals and ECG signals (obtained with the Dimetek MicroECG recorder Dicare-m1CP) were recorded synchronously from 20 healthy subjects. The analytical results show a significant correlation (correlation coefficient r > 0.99) between the PPG-derived peak-to-peak (PP) intervals and the ECG-derived RR intervals. Besides, there are no significant differences (P > 0...
March 2015: Zhongguo Yi Liao Qi Xie za Zhi, Chinese Journal of Medical Instrumentation
https://www.readbyqxmd.com/read/25902897/comparison-of-foot-finding-methods-for-deriving-instantaneous-pulse-rates-from-photoplethysmographic-signals
#20
COMPARATIVE STUDY
Mathilde C Hemon, Justin P Phillips
The suitability of different methods of finding the foot point of a pulse as measured using earlobe photoplethysmography during stationary conditions was investigated. Instantaneous pulse period (PP) values from PPG signals recorded from the ear in healthy volunteer subjects were compared with simultaneous ECG-derived cardiac periods (RR interval). Six methods of deriving pulse period were used, each based on a different method of finding specific landmark points on the PPG waveform. These methods included maximum and minimum value, maximum first and second derivative, 'intersecting tangents' and 'diastole patching' methods...
April 2016: Journal of Clinical Monitoring and Computing
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