scholarly journals Automated, high-accuracy, remote measurement of heart rate

2021 ◽  
Author(s):  
Yiming Yang ◽  
Hongyu Zhang ◽  
Chao Lian ◽  
YuLiang Zhao ◽  
Liming Xin ◽  
...  
Keyword(s):  
Heart Rate ◽  
Public Space ◽  
Pulse Wave ◽  
Remote Measurement ◽  
Community Clinic ◽  
Surveillance Camera ◽  
Environmental Suitability ◽  
Changing Light ◽  
Volume Pulse ◽  
Blood Volume Pulse

Arrhythmia is a marked symptom of many cardiovascular diseases. The accurate and in time detection of heart rate can greatly reduce its harm to people. However, it is still a challenge to automatedly and remotely measure the heart rate in daily life, because the environment factor of the measurement changes variously, such as the changing light intensity, the movement of people, and the uncertain distance from sensor to people. In this study, we accurately measured the heart rate of people at the distance of 4.8 meters under different intensity of light just by using a surveillance camera. After a short color video (20 sec) of a person's hand was captured by this camera, a method based on Fast Fourier Transform Algorithm (FFT) is proposed to extract the blood volume pulse wave to calculate the heart rate. By comparing the real heart rate with the results measured by electrocardiography (ECG), the accuracy of heart rate measurement using the method proposed in this study is 98.65% within 4.0 meters, and the accuracy can reach 90% within 5.6 meters. Our experiments also demonstrated that this method can accurately obtain the heart rate even when the intensity of light is below 32 LUX ( office environment 300-500 LUX). The strong environmental suitability makes this method can be applied to many occasions, such as community clinic, old peoples' home, classroom, and other public space.

Artifact Removal from Data Generated by Nonlinear Systems: Heart Rate Estimation from Blood Volume Pulse Signal

2019 ◽  
Vol 59 (6) ◽  
pp. 2318-2327 ◽  
Author(s):  
Mohammad Reza Askari ◽  
Mudassir Rashid ◽  
Mert Sevil ◽  
Iman Hajizadeh ◽  
Rachel Brandt ◽  
...  
Keyword(s):  
Heart Rate ◽  
Nonlinear Systems ◽  
Blood Volume ◽  
Pulse Signal ◽  
Artifact Removal ◽  
Rate Estimation ◽  
Volume Pulse ◽  
Heart Rate Estimation ◽  
Blood Volume Pulse

A Simple and Novel Integrated Opto-Electronic System for Blood Volume Pulse Sensing and Heart Rate Monitoring

2007 ◽  
Vol 1 (4) ◽  
pp. 392-403 ◽  
Author(s):  
Vadakke Kadangote Jayasree ◽  
Palackappillil Jacob Shaija ◽  
Vadakkedathu Parameswaran Narayanan Nampoori ◽  
Chakkalakkal Pavothil Girijavallabhan ◽  
Padmanabhan Radhakrishnan
Keyword(s):  
Heart Rate ◽  
Blood Volume ◽  
Electronic System ◽  
Heart Rate Monitoring ◽  
Volume Pulse ◽  
Blood Volume Pulse

Age Dependence of Arterial Pulse Wave Parameters Extracted From Dynamic Blood Pressure and Blood Volume Pulse Waves

2017 ◽  
Vol 21 (1) ◽  
pp. 142-149 ◽  
Author(s):  
Mikko Peltokangas ◽  
Antti Vehkaoja ◽  
Jarmo Verho ◽  
Ville M. Mattila ◽  
Pekka Romsi ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Blood Volume ◽  
Pulse Wave ◽  
Arterial Pulse ◽  
Age Dependence ◽  
Wave Parameters ◽  
Arterial Pulse Wave ◽  
Pulse Waves ◽  
Volume Pulse ◽  
Blood Volume Pulse

The clinical application of non-invasive intracranial blood volume pulse wave monitoring

2005 ◽  
Vol 26 (6) ◽  
pp. 1019-1032 ◽  
Author(s):  
I R Chambers ◽  
G Daubaris ◽  
E Jarzemskas ◽  
K Fountas ◽  
R Kvascevicius ◽  
...  
Keyword(s):  
Blood Volume ◽  
Clinical Application ◽  
Pulse Wave ◽  
Non Invasive ◽  
Volume Pulse ◽  
Blood Volume Pulse

325 Stress-Induced Physiological Profiles Among Different Phenotype Insomniacs

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A130-A130
Author(s):  
Ya-Chuan Huang ◽  
Hsin-Chien Lee ◽  
Chien-Ming Yang
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Sleep Duration ◽  
Blood Volume ◽  
Respiration Rate ◽  
Skin Conductance ◽  
Resting State ◽  
Short Sleep Duration ◽  
Volume Pulse ◽  
Blood Volume Pulse

Abstract Introduction Stress reactivity and autonomic nervous system (ANS) dysregulation have been suggested to be the pathophysiology of insomnia. Based on the finding PSG-measured short sleep duration was associated with higher morbidity of metabolic and cardiovascular disease. Vgontzas and Fernandez-Mandoza (2013) proposed that objective sleep duration is a biomarker for insomnia phenotypes. The phenotype with short objective sleep duration is associated with increased stress-related physiological hyperarousal. The present study aims to test this hypothesis by comparing the stress-induced cardiovascular reactivity between insomnia patients with short and long objective sleep durations. Methods 27 insomnia patients (age mean 34.48 ±12.87, Male: Female= 6:21) without comorbidity of psychiatric, medical or sleep disorders participated in this study. They went through one night of 8-hour PSG recording and were divided into two groups by their total sleep time with a cutoff of 6 hours. Nine participants were in short sleep duration group and 18 in longer sleep duration group. Psychophysiological reactivity profile, as recorded with EKG, skin conductance (SC), body temperature (BT), blood volume pulse (BVP), respiration rate (RR), was measured under three conditions: baseline resting state, arithmetic word problems solving, and recovery resting state. Results Both groups showed similar stress physiological response with increased heart rate (HR) and SC, nearly equivalent BT and BVP, and decreased RR when solving arithmetic problems, and opposite reaction during recovery resting state. Mann-Whitney U test comparing the changes from baseline resting state on all the psychophysiological measures between two phenotypes of insomnia showed no significant differences: stress-induced heart-rate (U=106, p=.119.) recovery heart-rate (U=44, p=.095), stress-induced skin conductance (U=104.5, p=.132),recovery skin conductance (U=51.5, p=.198), stress-induced body temperature (U=79, p=.897),recovery body temperature (U=60.5, p=.418), stress-induced blood volume pulse amplitude (U=77, p=1.0), and recovery blood volume pulse amplitude (U=69, p=.735), stress-induced respiration rate (U=76, p =.696), and recovery respiration rate (U=85, p=.658). Conclusion Our results indicate that the insomnia phenotypes with short and long objective sleep duration are not different in their stress-induced physiological responses. Future studies are needed to confirm these results and to explore other mechanisms for the increased metabolic and cardiovascular disease risk in insomnia patients with short objective sleep duration. Support (if any):

Garbage In; Garbage Out—Identify Blood Volume Pulse (BVP) Artifacts Before Analyzing and Interpreting BVP, Blood Volume Pulse Amplitude, and Heart Rate/Respiratory Sinus Arrhythmia Data

Biofeedback ◽  
2010 ◽  
Vol 38 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Erik Peper ◽  
Fred Shaffer ◽  
I-Mei Lin
Keyword(s):  
Heart Rate ◽  
Blood Volume ◽  
Pulse Signal ◽  
Pulse Amplitude ◽  
Peripheral Blood Flow ◽  
Close Inspection ◽  
Sinus Arrhythmia ◽  
Popular Method ◽  
Volume Pulse ◽  
Blood Volume Pulse

Abstract Blood volume pulse is a popular method for monitoring the relative changes in peripheral blood flow, heart rate, and heart rate variability. This article stresses the danger of blindly interpreting measures like heart rate, which are derived from blood volume pulse, without close inspection of the raw blood volume pulse signal. The authors identify common sources of signal contamination and recommend practical precautions and treatment of artifacts.

Reliability of Psychophysiological Responses Across Multiple Motion Sickness Stimulation Tests

1995 ◽  
Vol 5 (1) ◽  
pp. 25-33
Author(s):  
Cynthia S. Stout ◽  
William B. Toscano ◽  
Patricia S. Cowings
Keyword(s):  
Heart Rate ◽  
Motion Sickness ◽  
Blood Volume ◽  
Respiration Rate ◽  
Autonomic Response ◽  
Test Duration ◽  
Autonomic Responses ◽  
Symptom Level ◽  
Volume Pulse ◽  
Blood Volume Pulse

Although there is general agreement that a high degree of variability exists between subjects in their autonomic nervous system responses to motion sickness stimulation, very little evidence exists that examines the reproducibility of autonomic responses within subjects during motion sickness stimulation. Our objectives were to examine the reliability of autonomic responses and symptom levels across five testing occasions using the (1) final minute of testing, (2) change in autonomic response and the change in symptom level, and (3) strength of the relationship between the change in symptom level and the change in autonomic responses across the entire motion sickness test. The results indicate that, based on the final minute of testing, the autonomic responses of heart rate, blood volume pulse, and respiration rate are moderately stable across multiple tests. Changes in heart rate, blood volume pulse, respiration rate, and symptoms throughout the test duration are less stable across the tests. Finally, autonomic responses and symptom levels are significantly related across the entire motion sickness lest.

Age dependence of brachial cuff-based ambulatory PWV in end-stage kidney disease patients undergoing long-term peritoneal dialysis

2021 ◽  
pp. 089686082199692
Author(s):  
Vasilios Vaios ◽  
Panagiotis I Georgianos ◽  
Georgia Vareta ◽  
Dimitrios Divanis ◽  
Evangelia Dounousi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Heart Rate ◽  
Peritoneal Dialysis ◽  
Kidney Disease ◽  
Pulse Wave ◽  
Age Dependence ◽  
End Stage Kidney Disease ◽  
End Stage

Background: The newly introduced device Mobil-O-Graph (IEM, Stolberg, Germany) combines brachial cuff oscillometry and pulse wave analysis, enabling the determination of pulse wave velocity (PWV) via complex mathematic algorithms during 24-h ambulatory blood pressure monitoring (ABPM). However, the determinants of oscillometric PWV in the end-stage kidney disease (ESKD) population remain poorly understood. Methods: In this study, 81 ESKD patients undergoing long-term peritoneal dialysis underwent 24-h ABPM with the Mobil-O-Graph device. The association of 24-h oscillometric PWV with several demographic, clinical and haemodynamic parameters was explored using linear regression analysis. Results: In univariate analysis, among 21 risk factors, 24-h PWV exhibited a positive relationship with age, body mass index, overhydration assessed via bioimpedance spectroscopy, diabetic status, history of dyslipidaemia and coronary heart disease, and it had a negative relationship with female sex and 24-h heart rate. In stepwise multivariate analysis, age ( β: 0.883), 24-h systolic blood pressure (BP) ( β: 0.217) and 24-h heart rate ( β: −0.083) were the only three factors that remained as independent determinants of 24-h PWV (adjusted R 2 = 0.929). These associations were not modified when all 21 risk factors were analysed conjointly or when the model included only variables shown to be significant in univariate comparisons. Conclusion: The present study shows that age together with simultaneously assessed oscillometric BP and heart rate are the major determinants of Mobil-O-Graph-derived PWV, explaining >90% of the total variation of this marker. This age dependence of oscillometric PWV limits the validity of this marker to detect the premature vascular ageing, a unique characteristic of vascular remodelling in ESKD.

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