scholarly journals Features of the functional state of the human body in extreme professional environment

2019 ◽  
Vol 9 (4) ◽  
pp. 516-532
Author(s):  
Natalya Vlasenko ◽  
Irina Makarova ◽  
Alla Aksyonova
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Functional State ◽  
High Performance ◽  
Electrophysiological Study ◽  
Well Being ◽  
Subjective Assessment ◽  
Length Of Service ◽  
Service Experience ◽  
Professional Environment

Assessment and prediction of the functional state of specialists in an extreme professional environment is a physiological justification for the organization of labor to maintain the high performance of specialists. The purpose of the work is psycho diagnostic and electrophysiological study of the functional state of firefighter-rescuers with different service lives in the Federal Firefighting Service of the Ministry of Emergencies in the Tver region, taking into account the daily dynamics. Materials and methods: the survey involved 235 male rescue firefighters aged 25 to 45 years with a service experience from 1 to 22 years. All subjects were divided into three groups depending on the length of service. To assess the functional state, we used a questionnaire with scales of well-being, activity and mood, and a method of heart rate variability. Results: the subjective assessment on the scale of the questionnaire was optimistic, homogeneous and quite rigid. Analysis of heart rate variability showed a more heterogeneous picture. When assessing the daily dynamics, a vagotonic shift was detected in most firefighter-rescuers. Correlation analysis revealed balanced adequate connections between the self-assessment of the functional state and the hardware diagnosis of heart rate variability only for firefighter-rescuers with 7–15 years of service experience, which corresponds to the stage of formed professionalism.

scholarly journals Trends in Heart-Rate Variability Signal Analysis

2021 ◽  
Vol 3 ◽  
Author(s):  
Syem Ishaque ◽  
Naimul Khan ◽  
Sri Krishnan
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Electrodermal Activity ◽  
Well Being ◽  
Good Health ◽  
Machine Learning Techniques ◽  
Video Gaming ◽  
Clinical Events ◽  
Learning Techniques

Heart rate variability (HRV) is the rate of variability between each heartbeat with respect to time. It is used to analyse the Autonomic Nervous System (ANS), a control system used to modulate the body's unconscious action such as cardiac function, respiration, digestion, blood pressure, urination, and dilation/constriction of the pupil. This review article presents a summary and analysis of various research works that analyzed HRV associated with morbidity, pain, drowsiness, stress and exercise through signal processing and machine learning methods. The points of emphasis with regards to HRV research as well as the gaps associated with processes which can be improved to enhance the quality of the research have been discussed meticulously. Restricting the physiological signals to Electrocardiogram (ECG), Electrodermal activity (EDA), photoplethysmography (PPG), and respiration (RESP) analysis resulted in 25 articles which examined the cause and effect of increased/reduced HRV. Reduced HRV was generally associated with increased morbidity and stress. High HRV normally indicated good health, and in some instances, it could signify clinical events of interest such as drowsiness. Effective analysis of HRV during ambulatory and motion situations such as exercise, video gaming, and driving could have a significant impact toward improving social well-being. Detection of HRV in motion is far from perfect, situations involving exercise or driving reported accuracy as high as 85% and as low as 59%. HRV detection in motion can be improved further by harnessing the advancements in machine learning techniques.

scholarly journals Role of physiological monitoring in educational organizations

2019 ◽  
Vol 72 ◽  
pp. 03005
Author(s):  
Olga Shchkvirina ◽  
Dinamutdin Misirov ◽  
Marina Akopyan ◽  
Irina Loseva
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Functional State ◽  
Initial Period ◽  
Educational Environment ◽  
Convincing Evidence ◽  
Educational Process ◽  
The Body ◽  
Objective Criterion ◽  
Functional Capabilities

An indicators analysis of the first-graders functional state and vegetative homeostasis obtained in the initial period of adaptation to the educational environment revealed gender differences in the rates of the adaptation process to new learning conditions. It has been established that girls’ adaptation mechanisms turn on earlier than boys’, with their similar orientation. The article provides an experimental justification of the indicators use legitimacy for heart rate variability to assess the functional state of the body in the acute period of adaptation to the educational environment. The importance of teacher physiological literacy for the optimization of the educational process is substantiated. The results of the study are convincing evidence of the knowledge importance for the physiological foundations of the occurrence and course of physiological and mental processes, stable individual psycho-physiological characteristics for the organization of the learning environment, corresponding to the functional capabilities of the body. This argument is also confirmed by many years of experience among master students key competencies development, which allow using such an objective criterion as the current functional state of the body to ensure, through the joint efforts of parents, teachers, psychologists, and doctors, the correction of the educational environment and psycho-physiological resistance of individual to it. The established differences in the dynamics of heart rate variability indicators for girls and boys can be used to form a health-saving program in school settings.

scholarly journals Executive Stress Management: Physiological Load of Stress and Recovery in Executives on Workdays

2018 ◽  
Vol 15 (12) ◽  
pp. 2847 ◽  
Author(s):  
Beatriz Crespo-Ruiz ◽  
Shai Rivas-Galan ◽  
Cristina Fernandez-Vega ◽  
Carmen Crespo-Ruiz ◽  
Luis Maicas-Perez
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Stress Management ◽  
High Performance ◽  
Working Hours ◽  
Stress Recovery ◽  
Quality Of Recovery ◽  
Physiological Load ◽  
The Relationship

Objective: The use of high-performance sports technology to describe the physiological load of stress and the quality of recovery in a population of executives during the workday. Methodology: Heart rate variability values were recorded during 48 h from which the relationship between stress/recovery quality (stress balance) was obtained for three differentiated time slots: work, after work, and night in a workday. Results: We observed a negative stress balance during the 24 h of measurement in the course of a workday, being negative at work and after work, and positive at night. The stress generated or maintained outside working hours correlates significantly with a lower quality of recovery during the 24 h workday. Conclusions: It is necessary to prioritize strategies that help improve stress management in executives through the improvement of tools and strategies that mainly promote greater relaxation outside working hours.

Heat Stress Training Camps for Endurance Sport: A Descriptive Case Study of Successful Monitoring in 2 Ironman Triathletes

2020 ◽  
Vol 15 (1) ◽  
pp. 146-150
Author(s):  
Ed Maunder ◽  
Andrew E. Kilding ◽  
Christopher J. Stevens ◽  
Daniel J. Plews
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Heat Stress ◽  
Well Being ◽  
Self Report ◽  
Endurance Athletes ◽  
Resting Heart Rate ◽  
Resting Heart Rate Variability ◽  
Stress Training

A common practice among endurance athletes is to purposefully train in hot environments during a “heat stress camp.” However, combined exercise-heat stress poses threats to athlete well-being, and therefore, heat stress training has the potential to induce maladaptation. This case study describes the monitoring strategies used in a successful 3-week heat stress camp undertaken by 2 elite Ironman triathletes, namely resting heart rate variability, self-report well-being, and careful prescription of training based on previously collected physiological data. Despite the added heat stress, training volume very likely increased in both athletes, and training load very likely increased in one of the athletes, while resting heart rate variability and self-report well-being were maintained. There was also some evidence of favorable metabolic changes during routine laboratory testing following the camp. The authors therefore recommend that practitioners working with endurance athletes embarking on a heat stress training camp consider using the simple strategies employed in the present case study to reduce the risk of maladaptation and nonfunctional overreaching.

Monitoring Heart Rate Variability As A Biomarker Of Fatigue In Young Athletes

2020 ◽  
Author(s):  
Martina Bernaciková ◽  
Jakub Mazúr ◽  
Martin Sebera ◽  
Petr Hedbávný
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
High Performance ◽  
Transition Period ◽  
Training Volume ◽  
Young Athletes ◽  
Spectral Parameters ◽  
Significance Level ◽  
Sports Science ◽  
Spectral Performance

Purpose: Many high performance and especially top athletes are still at risk or suffer from total fatigue. Therefore, sports science seeks to develop an objective, sensitive and reliable method of early diagnosis of this fatigue (e.g. heart rate variability – HRV as a modern ob-jective method). The aim of the study was to evaluate whether the HRV monitoring could be a complementary diagnostic tool for overreaching / overtraining in young athletes. Already introduced “classical” indicators of HRV, such as spectral performance and its density in the established frequency ranges, are a part of athlete monitoring in the scope of overreaching prevention We were monitoring the heart rate variability parameters at three different phases of the year-long training cycle and to find out whether in one of these phases we could find athletes showing symptoms of overreaching. Methods: 48 young athletes (33 boys 14.8 ± 1.5 years, 15 girls 14.9 ± 1.7 years) were involved in the study, consisting of 38 boys and 10 girls. There were 15 swimmers (with training volume 9x 1.5‒2 hours a week), 12 artistic gymnasts (with training volume 9x 2‒2.5 hours a week) and 21 badminton players (with training volume 4x weekly 1.5‒2 hours a week). Monitoring was carried out in athletes in three training periods: at the end of the transition period, at the end of the prepared period, at the end of the competition period. Measurements were carried out in the morning. The DiANS PF8 system was used to measure the heart rate variability, the measurements were performed at five-minute intervals: lying-standing-lying. Time and spectral parameters of HRV were monitored. Results: Results of HRV in three periods (HR + rMSSD in lying). Boys: HR (61 ± 8, 64 ± 7, 64 ± 8), rMSSD (85 ± 64; 80 ± 54; 88 ± 59), TS (-0.56 ± 1.53; -0.87 ± 1.4; -0.42 ± 1.44). Girls: HR (65 ± 8; 64 ± 7; 65 ± 8), rMSSD (74 ± 37; 79 ± 35; 83 ± 43), TS (-0.58 ± 1.57; -0.72 ± 1.35); -0.18 ± 0.18). Statistically significant differences (at the significance level = 0.05) among sports were found in Kruskal-Walls ANOVAby Ranks: boys in LF-standing, HF standing, FV, SVB and TS; girls in HF-lying, HF-standing, rMSSD, TP-lying, TP-standing, FV, VA and TS. Conclusion: Monitoring of heart rate variability seems to be a practical tool for prevention of overtraining even in young age. To monitor heart rate variability, we recommend monitoring these parameters: RR, rMSSD, VA, SVB, TS.

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