ANALYSIS OF THE HEART RATE VARIABILITY DYNAMICS DURING LONG-TERM MONITORING

2018 ◽  
Vol 77 (7) ◽  
pp. 645-654
Author(s):  
О. N. Velichko ◽  
О. М. Datsok
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Long-Term Monitoring of Physical Behavior Reveals Different Cardiac Responses to Physical Activity among Subjects with and without Chronic Neck Pain

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
David M. Hallman ◽  
Svend Erik Mathiassen ◽  
Eugene Lyskov
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Neck Pain ◽  
Chronic Neck Pain ◽  
Daily Physical Activity ◽  
Physical Behavior ◽  
Long Term Monitoring ◽  
Term Monitoring

Background. We determined the extent to which heart rate variability (HRV) responses to daily physical activity differ between subjects with and without chronic neck pain.Method. Twenty-nine subjects (13 women) with chronic neck pain and 27 age- and gender-matched healthy controls participated. Physical activity (accelerometry), HRV (heart rate monitor), and spatial location (Global Positioning System (GPS)) were recorded for 74 hours. GPS data were combined with a diary to identify periods of work and of leisure at home and elsewhere. Time- and frequency-domain HRV indices were calculated and stratified by period and activity type (lying/sitting, standing, or walking). ANCOVAs with multiple adjustments were used to disclose possible group differences in HRV.Results. The pain group showed a reduced HRV response to physical activity compared with controls (p=.001), according to the sympathetic-baroreceptor HRV index (LF/HF, ratio between low- and high-frequency power), even after adjustment for leisure time physical activity, work stress, sleep quality, mental health, and aerobic capacity (p=.02). The parasympathetic response to physical activity did not differ between groups.Conclusions. Relying on long-term monitoring of physical behavior and heart rate variability, we found an aberrant sympathetic-baroreceptor response to daily physical activity among subjects with chronic neck pain.

scholarly journals ECG Ambulatory System for Long Term Monitoring of Heart Rate Dynamics

10.5772/20946 ◽  
2011 ◽  
Author(s):  
Agustin Marquez-Espinoza ◽  
Jose G. ◽  
Gabriel Vega-Martinez ◽  
Carlos Alvarado-Serrano
Keyword(s):  
Heart Rate ◽  
Heart Rate Dynamics ◽  
Long Term Monitoring ◽  
Term Monitoring

Electrode Belt: A New Method for Long-Term Monitoring

PEDIATRICS ◽  
1979 ◽  
Vol 63 (4) ◽  
pp. 670-673
Author(s):  
Dorothy H. Kelly ◽  
Kathleen O'Connell ◽  
Daniel C. Shannon
Keyword(s):  
Heart Rate ◽  
Sleep Apnea ◽  
Electronic Monitoring ◽  
False Alarms ◽  
American Academy Of Pediatrics ◽  
Long Term Monitoring ◽  
Monitoring Devices ◽  
Term Monitoring ◽  
At Home

Infants who have experienced an episode of prolonged sleep apnea associated with cyanosis, pallor, and limpness requiring vigorous stimulation or mouth-to-mouth resuscitation to restore breathing, are at risk of experiencing a recurrence that may result in death1.2. The American Academy of Pediatrics has recommended that such infants be treated by 24-hour surveillance either in the home or in the hospital. Electronic monitoring devices "may be useful adjuncts" to such surveillance.3 Since 1973, we have monitored 270 infants at home with apnea or cardiac monitors. A major problem with monitoring infants at home has been false alarms, such as alarms for apnea when the infant is breathing, on heart rate or apnea alarms due to a loose electrode.

Long-Term Monitoring of Heart Rate, Respiration Rhythm, and Body Movement During Sleep Based upon a Network

2010 ◽  
Vol 16 (2) ◽  
pp. 244-253 ◽  
Author(s):  
Xin Zhu ◽  
Wenxi Chen ◽  
Tetsu Nemoto ◽  
Kei-ichiro Kitamura ◽  
Daming Wei
Keyword(s):  
Heart Rate ◽  
Body Movement ◽  
Respiration Rhythm ◽  
Long Term Monitoring ◽  
Term Monitoring

Applied Technology with an Improved ICA Algortihm and its Application in Heart Rate Measurement

2014 ◽  
Vol 1046 ◽  
pp. 92-95
Author(s):  
Yang Wang ◽  
Pei Xiang Tan ◽  
An Yuan Chen
Keyword(s):  
Heart Rate ◽  
Human Physiology ◽  
Human Health ◽  
Experimental Results ◽  
Rate Measurement ◽  
Applied Technology ◽  
Long Term Monitoring ◽  
Nonlinear Signal ◽  
Term Monitoring

Heart rate is an important idicator of human physiology,it has great significance for human health in the long-term monitoring process.This research is based on Photo Plethysmo Graphy (PPG) principle.First,get some video via webcam,and then extract the signal of Face PPG.We proposed an improved ICA agortihm,because of the heart rate signal is a non-stationary and nonlinear signal,then,HHT-domain analysis of Face PPG signal.Finally,we succeeed in measuring of the heart-rate.The experimental results show that,using the improved ICA algortihm ,it is not only reduce the iteration ,but also has better measurement.

scholarly journals Evaluation of nocturnal vs. morning measures of heart rate indices in young athletes

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262333
Author(s):  
Christina Mishica ◽  
Heikki Kyröläinen ◽  
Esa Hynynen ◽  
Ari Nummela ◽  
Hans-Christer Holmberg ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Endurance Athletes ◽  
Nocturnal Sleep ◽  
Young Athletes ◽  
Counter Movement Jump ◽  
And Performance ◽  
Term Monitoring ◽  
Potential Tool

Purpose The purpose of this study was to compare heart rate (HR) and heart rate variability in young endurance athletes during nocturnal sleep and in the morning; and to assess whether changes in these values are associated with changes in submaximal running (SRT) and counter-movement jump (CMJ) performance. Methods During a three-week period of similar training, eleven athletes (16 ± 1 years) determined daily HR and heart rate variability (RMSSD) during sleep utilizing a ballistocardiographic device (Emfit QS), as well as in the morning with a HR monitor (Polar V800). Aerobic fitness and power production were assessed employing SRT and CMJ test. Results Comparison of the average values for week 1 and week 3 revealed no significant differences with respect to nocturnal RMSSD (6.8%, P = 0.344), morning RMSSD (13.4%, P = 0.151), morning HR (-3.9 bpm, P = 0.063), SRT HR (-0.7 bpm, P = 0.447), SRT blood lactate (4.9%, P = 0.781), CMJ (-4.2%, P = 0.122) or training volume (16%, P = 0.499). There was a strong correlation between morning and nocturnal HRs during week 1 (r = 0.800, P = 0.003) and week 3 (r = 0.815, P = 0.002), as well as between morning and nocturnal RMSSD values (for week 1, r = 0.895, P<0.001 and week 3, r = 0.878, P = 0.001). Conclusion This study concluded that HR and RMSSD obtained during nocturnal sleep and in the morning did not differ significantly. In addition, weekly changes in training and performance were small indicating that fitness was similar throughout the 3-week period of observation. Consequently, daily measurement of HR indices during nocturnal sleep provide a potential tool for long-term monitoring of young endurance athletes.

A new method for long-term monitoring of the ballistocardiogram, heart rate, and respiration

1981 ◽  
Vol 240 (5) ◽  
pp. R384-R392 ◽  
Author(s):  
J. Alihanka ◽  
K. Vaahtoranta ◽  
I. Saarikivi
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Respiratory Movement ◽  
Body Movements ◽  
Ultralow Frequency ◽  
Wave Forms ◽  
The Subject ◽  
Long Term Monitoring ◽  
Term Monitoring

The principle of the static charge-sensitive-bed (SCSB) method is described. The method is simple and inexpensive. From the SCSB recording the ballistocardiogram (BCG) and respiratory movement can be simultaneously recorded by selective filtering of the original signal. The SCSB recording thus enables continuous long-term monitoring of the BCG, heart rate, respiratory rate, respiratory amplitude, and body movements. There are no electrodes or cables connected to the subject. The SCSB-BCG signal was studied by comparing the SCSB method with the conventional ultralow-frequency (ULF) acceleration BCG. The wave forms at rest and the amplitude responses to physical exercise were studied by both methods. Multiple recordings of the BCG, heart rate, respiratory movement, respiratory rate, and body movements after exercise and during sleep using the SCSB method are presented. The SCSB method opens new approaches to long-term studies of the regulation of myocardial performance, heart rate, and respiration. Applications of the SCSB method for clinical sleep studies, patient monitoring and cardiovascular screening examinations are discussed.

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