Linear and nonlinear analyses of normal and fatigue heart rate variability signals for miners in high-altitude and cold areas

Chen, Shoukun; Xu, Kaili; Zheng, Xin; Li, Ji-Shuo; Fan, Bingjie; Yao, Xiwen; Li, Zhengrong

doi:10.1016/j.cmpb.2020.105667

Cited by 33 publications

(16 citation statements)

References 51 publications

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“…For example, the long and short axis measures SD1 and SD2 are directly associated with the time domain indicators SDSD and SDNN, which can be expressed as follows: Thus, our findings suggest that the short elliptical axis (SD1) standard deviation was significantly lower in the controlled hypobaric and hypoxia environment subjects than normobaric pressure (Table 5), implying a decrease in parasympathetic activity, in other words, a predominance of sympathetic control. This finding is consistent with the study by Chen et al (2020).…”

Section: Significance Of Hrv Changessupporting

confidence: 94%

Longitudinal Changes and Recovery in Heart Rate Variability of Young Healthy Subjects When Exposure to a Hypobaric Hypoxic Environment

Yan

et al. 2022

Front. Physiol.

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Background: The autonomic nervous system (ANS) is crucial for acclimatization. Investigating the responses of acute exposure to a hypoxic environment may provide some knowledge of the cardiopulmonary system’s adjustment mechanism.Objective: The present study investigates the longitudinal changes and recovery in heart rate variability (HRV) in a young healthy population when exposed to a simulated plateau environment.Methods: The study followed a strict experimental paradigm in which physiological signals were collected from 33 healthy college students (26 ± 2 years, 171 cm ± 7 cm, 64 ± 11 kg) using a medical-grade wearable device. The subjects were asked to sit in normoxic (approximately 101 kPa) and hypoxic (4,000 m above sea level, about 62 kPa) environments. The whole experimental process was divided into four stable resting measurement segments in chronological order to analyze the longitudinal changes of physical stress and recovery phases. Seventy-six time-domain, frequency-domain, and non-linear indicators characterizing rhythm variability were analyzed in the four groups.Results: Compared to normobaric normoxia, participants in hypobaric hypoxia had significantly lower HRV time-domain metrics, such as RMSSD, MeanNN, and MedianNN (p < 0.01), substantially higher frequency domain metrics such as LF/HF ratio (p < 0.05), significantly lower Poincaré plot parameters such as SD1/SD2 ratio and other Poincaré plot parameters are reduced considerably (p < 0.01), and Refined Composite Multi-Scale Entropy (RCMSE) curves are reduced significantly (p < 0.01).Conclusion: The present study shows that elevated heart rates, sympathetic activation, and reduced overall complexity were observed in healthy subjects exposed to a hypobaric and hypoxic environment. Moreover, the results indicated that Multiscale Entropy (MSE) analysis of RR interval series could characterize the degree of minor physiological changes. This novel index of HRV can better explain changes in the human ANS.

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Section: Significance Of Hrv Changessupporting

confidence: 94%

Longitudinal Changes and Recovery in Heart Rate Variability of Young Healthy Subjects When Exposure to a Hypobaric Hypoxic Environment

Yan

et al. 2022

Front. Physiol.

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“…Through the comparison of four detection methods in field tests, including the back propagation neural network, dynamic template matching technique, fuzzy reasoning method and convolutional neural network, the convolution neural network achieved the best recognition rate and reached 98.9%. Chen et al 48 used linear and nonlinear methods to analyze the difference in miners' HRV before and after fatigue. The results show that LFnorm, HFnorm and the HF/LF ratio exhibited increasing trends and significant differences.…”

Section: Discussionmentioning

confidence: 99%

“…The results show that the ApEn increased significantly from NSR to VT and then to VF, which may be regarded as an index to discriminate the ECG signals of different states. Zhang et al 55 and Chen et al 48 analyzed driving fatigue and miners' working fatigue by sample entropy. The former study extracted the wavelet entropy (WE), the peak-to-peak value of the approximate entropy (PP-ApEn) and sample entropy (PP-SampEn) in real-time ECG signals, and an artificial neural network (ANN) model was applied to recognize the fatigue state of drivers.…”

Section: Discussionmentioning

confidence: 99%

Study on the nonfatigue and fatigue states of orchard workers based on electrocardiogram signal analysis

Ruitao

Yan

Duan

et al. 2022

Sci Rep

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In recent years, fatigue has become an important issue in modern life that cannot be ignored, especially in some special occupations. Agricultural workers are high-risk occupations that, under fatigue conditions over a long period, will cause health problems. In China, since very few studies have focused on the fatigue state of agricultural workers, we were interested in using electrocardiogram (ECG) signals to analyze the fatigue state of agricultural workers. Healthy agricultural workers were randomly recruited from hilly orchards in South China. Through the field experiment, 130 groups of 5-min interval ECG signals were collected, and we analyzed the ECG signal by HRV. The time domain (meanHR, meanRR, SDNN, RMSSD, SDSD, PNN20, PNN50 and CV), frequency domain (VLF percent, LF percent, HF percent, LF norm, HF norm and LF/HF) and nonlinear parameters (SD1, SD2, SD1/SD2 and sample entropy) were calculated and Spearman correlation coefficient analysis and Mann–Whitney U tests were performed on each parameter for further analysis. For all subjects, nine parameters were slightly correlated in nonfatigue and fatigue state. Six parameters were significantly increased and ten HRV parameters were significantly decreased compared the nonfatigue state. As for males, fifteen parameters were significantly different, and for females, eighteen parameters were significantly different. In addition, the probability density functions of SDNN, SDSD, VLF%, HFnorm and LF/HF were significantly different in nonfatigue and fatigue state for different genders, and the nonlinear parameters become more discrete compared the nonfatigue state. Finally, we obtained the most suitable parameters, which reflect the fatigue characteristics of orchard workers under different genders. The results have instructional significance for identifying fatigue in orchard workers and provide a convincing and valid reference for clinical diagnosis.

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“…A multivariable assessment combining these might be the most appropriate approach for a complete characterisation of fatigue within military populations. Heart rate-related metrics are definitely the most commonly used physiological metrics to measure physical exertion, not only among analysed studies but also within other occupational groups (such as construction workers [94] and miners [95,96]) and sports-related fields [85,97]. Specifically, heart rate variability (HRV) has been reported as a valuable index of cardiovascular health and well-being that provides an insight into the physiological alterations resulting from work-related fatigue [98].…”

Section: Current Trends and Future Perspectivesmentioning

confidence: 99%

Non-Invasive Physiological Monitoring for Physical Exertion and Fatigue Assessment in Military Personnel: A Systematic Review

Bustos

Guedes

Vaz

et al. 2021

IJERPH

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During operational activities, military personnel face extremely demanding circumstances, which when combined lead to severe fatigue, influencing both their well-being and performance. Physical exertion is the main condition leading to fatigue, and its continuous tracking would help prevent its effects. This review aimed to investigate the up-to-date progress on non-invasive physiological monitoring to evaluate situations of physical exertion as a pre-condition to fatigue in military populations, and determine the potential associations between physiological responses and fatigue, which can later result in decision-making indicators to prevent health-related consequences. Adhering to the PRISMA Statement, four databases (Scopus, Science Direct, Web of Science and PubMed) were used for a literature search based on combinations of keywords. The eligibility criteria focused on studies monitoring physiological variables through non-invasive objective measurements, with these measurements being developed in military field, combat, or training conditions. The review process led to the inclusion of 20 studies. The findings established the importance of multivariable assessments in a real-life context to accurately characterise the effects of military practices. A tendency for examining heart rate variables, thermal responses, and actigraphy measurements was also identified. The objectives and experimental protocols were diverse, but the effectiveness of non-invasive measurements in identifying the most fatigue-inducing periods was demonstrated. Nevertheless, no assessment system for standardised application was presented. Future work may include the development of assessment methods to translate physiological recordings into actionable information in real-time and mitigate the effects of fatigue on soldiers’ performance accurately.

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Linear and nonlinear analyses of normal and fatigue heart rate variability signals for miners in high-altitude and cold areas

Cited by 33 publications

References 51 publications

Longitudinal Changes and Recovery in Heart Rate Variability of Young Healthy Subjects When Exposure to a Hypobaric Hypoxic Environment

Longitudinal Changes and Recovery in Heart Rate Variability of Young Healthy Subjects When Exposure to a Hypobaric Hypoxic Environment

Study on the nonfatigue and fatigue states of orchard workers based on electrocardiogram signal analysis

Non-Invasive Physiological Monitoring for Physical Exertion and Fatigue Assessment in Military Personnel: A Systematic Review

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