scholarly journals Behavioral and Physiological Differences between Working Horses and Chilean Rodeo Horses in a Handling Test

Animals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 397 ◽  
Author(s):  
Paula Rosselot ◽  
Tiago Mendonça ◽  
Igor González ◽  
Tamara Tadich
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Physiological Responses ◽  
Group Differences ◽  
Monitor System ◽  
The Novel ◽  
Non Invasive ◽  
Lower Variability ◽  
Variability Data ◽  
Selection Of

Non-invasive measures are preferred when assessing animal welfare. Differences in behavioral and physiological responses toward a stressor could be the result of the selection of horses for specific uses. Behavioral and physiological responses of working and Chilean rodeo horses subjected to a handling test were assessed. Five behaviors, number of attempts, and the time to cross a bridge were video recorded and analyzed with the Observer XT software. Heart rate (HR) and heart rate variability (HRV), to assess the physiological response to the novel stimulus, were registered with a Polar Equine V800 heart rate monitor system during rest and the bridge test. Heart rate variability data were obtained with the Kubios software. Differences between working and Chilean rodeo horses were assessed, and within-group differences between rest and the test were also analyzed. Chilean rodeo horses presented more proactive behaviors and required significantly more attempts to cross the bridge than working horses. Physiologically, Chilean rodeo horses presented lower variability of the heart rate than working horses.

scholarly journals Effects of Olfactory and Auditory Enrichment on Heart Rate Variability in Shelter Dogs

Animals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1385 ◽  
Author(s):  
Veronica Amaya ◽  
Mandy B.A. Paterson ◽  
Kris Descovich ◽  
Clive J.C. Phillips
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Environmental Enrichment ◽  
Physiological Effect ◽  
Control Group ◽  
Animal Shelters ◽  
Non Invasive ◽  
Shelter Dogs ◽  
Stressful Environments ◽  
Variability Data

Animal shelters can be stressful environments and time in care may affect individual dogs in negative ways, so it is important to try to reduce stress and arousal levels to improve welfare and chance of adoption. A key element of the stress response is the activation of the autonomic nervous system (ANS), and a non-invasive tool to measure this activity is heart rate variability (HRV). Physiologically, stress and arousal result in the production of corticosteroids, increased heart rate and decreased HRV. Environmental enrichment can help to reduce arousal related behaviours in dogs and this study focused on sensory environmental enrichment using olfactory and auditory stimuli with shelter dogs. The aim was to determine if these stimuli have a physiological effect on dogs and if this could be detected through HRV. Sixty dogs were allocated to one of three stimuli groups: lavender, dog appeasing pheromone and music or a control group, and usable heart rate variability data were obtained from 34 dogs. Stimuli were applied for 3 h a day on five consecutive days, with HRV recorded for 4 h (treatment period + 1 h post-treatment) on the 5th and last day of exposure to the stimuli by a Polar® heart rate monitor attached to the dog’s chest. HRV results suggest that music activates both branches of the ANS, which may be useful to relieve both the stress and boredom in shelter environments.

scholarly journals Some possible factors affecting horse welfare assessment

2013 ◽  
Vol 82 (4) ◽  
pp. 447-451 ◽  
Author(s):  
Magdaléna Fejsáková ◽  
Jana Kottferová ◽  
Zuzana Dankulincová ◽  
Eva Haladová ◽  
Raquel Matos ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Questionnaire Survey ◽  
Physiological Responses ◽  
Horse Breed ◽  
Heart Rate Monitor ◽  
Factors Affecting ◽  
Welfare Assessment ◽  
Non Invasive ◽  
Movement Intensity

The aim of this study was to assess the influence of various stimuli that confound interpretation of assessed indicators of horse welfare during rest and working period by the use of non-invasive methods of sampling. In total, 40 horses of different breeds and used for different purposes in Slovakia were used. The following indicators were tested: concentration of cortisol in saliva and 11,17-dioxoandrostanes in faeces measured by Elisa methods, heart rate and heart rate variability recording with the Polar Heart Rate Monitor and presence of stereotypical behaviour assessed with a horse questionnaire survey. The evaluated physiological responses were mostly affected by the type of work undertaken, especially horse movement intensity (P < 0.001) and horse equipment used during the working period (P < 0.01). Horses that showed stereotypical behaviour were less stressed during rest (P < 0.05) compared to horses without stereotypical behaviour. Horse breed, age, sex and stabling conditions affected only some of the heart rate indicators. The type of riding style had no fundamental influence on evaluated indicators. These observations highlight the difficulties in determining the welfare status in horses, since measurements can be affected by many factors that need to be investigated for achieving relevant outcomes. This is the first study in Slovakia focusing on the evaluation of horse welfare by non-invasive sampling.

scholarly journals Application of Mathematical Methods for Analysis of Digital ECG Data

2016 ◽  
Vol 14 (2) ◽  
pp. 35-44
Author(s):  
G. Georgieva-Tsaneva
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Diagnostic Technique ◽  
Digital Data ◽  
Mathematical Methods ◽  
Nonlinear Methods ◽  
Non Invasive ◽  
Cardiac Autonomic Regulation ◽  
Variability Data ◽  
Ecg Data

AbstractThis paper presents several mathematical methods for analysis of electrocardiogram digital data. The measurement of beat to beat fluctuations known as Heart Rate Variability becomes a non-invasive diagnostic technique to study the cardiac autonomic regulation. The analysis was done by software developed by the author. The article presents the results of linear methods, nonlinear methods and wavelet analysis of Heart Rate Variability data in healthy and diseased subjects. The obtained results and the performed comparative analysis demonstrate the possibility for effective application of the considered methods in new cardiovascular information systems.

scholarly journals Selection of entropy-measure parameters for knowledge discovery in heart rate variability data

2014 ◽  
Vol 15 (S6) ◽  
Author(s):  
Christopher C Mayer ◽  
Martin Bachler ◽  
Matthias Hörtenhuber ◽  
Christof Stocker ◽  
Andreas Holzinger ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Knowledge Discovery ◽  
Entropy Measure ◽  
Variability Data ◽  
Selection Of

scholarly journals Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Elisa Mejía-Mejía ◽  
James M. May ◽  
Mohamed Elgendi ◽  
Panayiotis A. Kyriacou
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Pulse Transit Time ◽  
Pulse Rate Variability ◽  
Physiological Factors ◽  
Ecg Signals ◽  
Non Invasive ◽  
Electrocardiogram Ecg

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.

Trends in Heart Rate and Heart Rate Variability during Pregnancy and Three Months Postpartum: Continuous Monitoring in a Free-Living Context (Preprint)

2021 ◽  
Author(s):  
Fatemeh Sarhaddi ◽  
Iman Azimi ◽  
Anna Axelin ◽  
Hannakaisa Niela-Vilen ◽  
Pasi Liljeberg ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pregnant Women ◽  
Time Domain ◽  
Second Trimester ◽  
Third Trimester ◽  
Non Invasive ◽  
The Third ◽  
Invasive Method ◽  
Frequency Power

BACKGROUND Heart rate variability (HRV) is a non-invasive method reflecting autonomic nervous system (ANS) regulations. Altered HRV is associated with adverse mental or physical health complications. ANS also has a central role in physiological adaption during pregnancy causing normal changes in HRV. OBJECTIVE Assessing trends in heart rate (HR) and HRV parameters as a non-invasive method for remote maternal health monitoring during pregnancy and three months postpartum. METHODS Fifty-eight pregnant women were monitored using an Internet-of-Things (IoT)-based remote monitoring system during pregnancy and 3-months postpartum. Pregnant women were asked to continuously wear Gear sport smartwatch to monitor their HR and HRV. In addition, a cross-platform mobile application was utilized for collecting pregnancy-related information. The trends of HR and HRV parameters were extracted using reliable data. We also analyzed the trends of normalized HRV parameters based on HR to remove the effect of HR changes on HRV trends. Finally, we exploited hierarchical linear mixed models to analyze the trends of HR, HRV, and normalized HRV parameters. RESULTS HR increased significantly during the second trimester (P<.001) and decreased significantly during the third trimester (P<.01). Time-domain HRV parameters, average normal interbeat intervals (AVNN), standard deviation of normal interbeat intervals (SDNN), root mean square of the successive difference of normal interbeat intervals (RMSSD), normalized SDNN (nSDNN), and normalized RMSSD (nRMSSD) decreased significantly during the second trimester (P<.001) then increased significantly during the third trimester (P<.01). Some of the frequency domain parameters, low-frequency power (LF), high-frequency power (HF), and normalized HF (nHF) decreased significantly during the second trimester (P<.01), and HF increased significantly during the third trimester (P<.01). In the postpartum period, nRMSSD decreased (P<.05), and the LF to HF ratio (LF/HF) increased significantly (P<.01). CONCLUSIONS Our study showed that HR increased and HRV parameters decreased as the pregnancy proceeded, and the values returned to normal after the delivery. Moreover, our results show that HR started to decrease while time-domain HRV parameters and HF started to increase during the third trimester. Our results also demonstrate the possibility of continuous HRV monitoring in everyday life settings.

HEART RATE VARIABILITY RELATED TO N95 RESPIRATOR USE IN INTERNS DURING COVID-19 PANDEMIC

2021 ◽  
pp. 69-70
Author(s):  
Pakanati Sujana ◽  
Venkata Mahesh Gandhavalla ◽  
K. Prabhakara Rao
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Low Frequency ◽  
Protective Equipment ◽  
Short Term ◽  
Non Invasive ◽  
Critical Components ◽  
The Individual ◽  
N95 Respirators ◽  
Respiratory Droplets

Introduction: COVID19 is caused by SARS-CoV-2 which is primarily transmitted through respiratory droplets and contact routes. WHO recommended the use of personal protective equipment (PPE) for prevention and N95 respirators are critical components of PPE. Breathing through N95 respirator will impart stress in the individual and that can be assessed by heart rate variability (HRV). HRV measures the variation in time between each heartbeat controlled by autonomic nervous system (ANS), which is a non invasive reliable index to identify the ANS imbalances. Aims And Objectives: This study is aimed at assessing the HRV of Interns working in COVID19 wards using N95 respirators. Methodology: This study included 100 interns in whom short term HRV was recorded using the standard protocol. Lead II of ECG was recorded using AD instruments (ADI) 8channel polygraph and HRV was analysed using Labchart 8pro software. The recordings were taken before and 1hour after wearing N95 respirator. Results: Overall HRV (SDRR) was found to decrease signicantly after wearing N95 respirator for 1hr (p=0.000). Similarly, indices representing the parasympathetic component ( RMSSD and HF ) were also found to decrease signicantly with the use of N95 respirator. Low frequency (LF) power and LF/HF ratio increased signicantly with N95 respirator use (p=0.000). Conclusion: We conclude that using N95 respirator increased sympathetic activity reecting decreased HRV in our subjects Hence we recommend that it is better to change the duty pattern for interns.

Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability

2018 ◽  
Vol 13 (5) ◽  
pp. 42 ◽  
Author(s):  
R. Brady ◽  
D.O. Frank-Ito ◽  
H.T. Tran ◽  
S. Janum ◽  
K. Møller ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Inflammatory Responses ◽  
Interleukin 10 ◽  
Tnf Alpha ◽  
Non Invasive ◽  
Estimated Parameters ◽  
Subject Specific ◽  
The Subject ◽  
Necrosis Factor

The objective of this study was to develop a personalized inflammatory model and estimate subject-specific parameters that could be related to changes in heart rate variability (HRV), a measure that can be obtained non-invasively in real time. An inflammatory model was developed and calibrated to measurements of interleukin-6 (IL-6), tumor necrosis factor (TNF-alpha), interleukin-8 (IL-8) and interleukin-10 (IL-10) over 8 hours in 20 subjects administered a low dose of lipopolysaccharide. For this model, we estimated 11 subject-specific parameters for all 20 subjects. Estimated parameters were correlated with changes in HRV, computed from ECG measurements using a built-in HRV module available in Labchart. Results revealed that patients could be separated into two groups expressing normal and abnormal responses to endotoxin. Abnormal responders exhibited increased HRV, most likely as a result of increased vagal firing. The observed correlation between the inflammatory response and HRV brings us a step further towards understanding if HRV predictions can be used as a marker for inflammation. Analyzing HRV parameters provides an easy, non-invasively obtained measure that can be used to assess the state of the subject, potentially translating to identifying a non-invasive marker that can be used to detect the onset of sepsis.

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