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Kim D, Baek S, Kim S, Im S, Kim S. Analysis of breathing patterns to stabilize cardiovascular changes in physical stress environments : inspiration responds to rapid changes in blood pressure. Biomed Eng Lett 2024; 14:813-821. [PMID: 38946807 PMCID: PMC11208350 DOI: 10.1007/s13534-024-00379-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 03/24/2024] [Accepted: 03/30/2024] [Indexed: 07/02/2024] Open
Abstract
The thoracic nerves form a complex neural network that coordinates involuntary muscles such as breathing and the heart. Breathing has various patterns to maintain homeostasis in the human body. This study analyzes changes in the cardiovascular system and breathing patterns induced by stress caused by various mechanical movements performed in daily life and ultimately, the goal is to propose effective breathing patterns and breathing control methods to maintain cardiovascular homeostasis. The participants' age was 26.97 ± 3.93 years, height was 170.24 ± 8.61 cm, and weight was 65.69 ± 13.55 Kg, and there were 62 men and 38 women. Breathing and electrocardiogram were obtained using HiCard+, a biometric monitoring device. The measured electrocardiogram was analyzed for heartbeat interval, which indicates changes in the cardiovascular system, and standard deviation of normal to normal interval (SDNN) and root mean square of the successive differences (rMSSD), which indicate the activity of the autonomic and parasympathetic nervous systems. For respiration, time changes were analyzed as patterns by calculating inspiration and exhalation times. As a result of this study, rapid changes in blood pressure increased SDNN and rMSSD from 0.053 ± 0.06 and 0.056 ± 0.087 to 0.109 ± 0.114 and 0.125 ± 0.170 s, and induced an increase in spontaneous inspiratory time from 1.46 to 1.51 s (p < 0.05). Ultimately, we hope that the results of this study will be used as a breathing control training technique to prevent and manage rapid cardiovascular changes. Supplementary Information The online version contains supplementary material available at 10.1007/s13534-024-00379-y.
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Affiliation(s)
- Daechang Kim
- Department of Medical Biotechnology, Dongguk University, Bio Medi Campus, Ilsandonggu, Goyang si, Gyeonggi-do 10326 Korea
| | - Seungbin Baek
- Department of Medical Device Business, Dongguk University, 32, Dongguk ro, Ilsandonggu, Goyang si, Gyeonggi do 10326 Korea
| | - Seunghui Kim
- Department of Regulatory Science for Bio-Health Medical Device, Dongguk University, 32, Dongguk ro, Ilsandonggu, Goyang si, Gyeonggi do 10326 Korea
| | - Sanghee Im
- Department and Research Institute of Rehabilitation Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722 South Korea
| | - Sungmin Kim
- Department of Medical Biotechnology, Dongguk University, Bio Medi Campus, Ilsandonggu, Goyang si, Gyeonggi-do 10326 Korea
- Department of Medical Device Industry, Dongguk University, Seoul, 04620 Korea
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Deng Y, Zeng X, Tang C, Hou X, Zhang Y, Shi L. The effect of exercise training on heart rate variability in patients with hypertension: A systematic review and meta-analysis. J Sports Sci 2024; 42:1272-1287. [PMID: 39115012 DOI: 10.1080/02640414.2024.2388984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 07/30/2024] [Indexed: 09/01/2024]
Abstract
We aimed to assess the effect of exercise training on heart rate variability (HRV) in hypertensive patients and to provide practical recommendations. We systematically searched seven databases for randomized controlled trials (RCTs) comparing the efficacy of exercise interventions vs. non-exercise control for HRV in adults with hypertension. HRV parameters, blood pressure (BP), and heart rate (HR) from the experimental and control groups were extracted to carry out meta-analysis. To explore the heterogeneity, we performed sensitivity analysis, sub-analysis, and meta-regression. Twelve RCTs were included, and the main results demonstrated exercise produced improvement in root mean square of successive RR-intervals differences (RMSSD) and high frequency (HF), and reductions in LF/HF, resting systolic blood pressure (SBP), and HR. The sub-analysis and meta-regression showed that AE improved more HRV indices and was effective in reducing BP compared with RE. Follow-up duration was also an important factor. Data suggests exercise training has ameliorating effects on HRV parameters, resting SBP, and HR in hypertensive patients, showing enhanced autonomic nervous system function and vagal activity. This effect may be better realized with exercise interventions of 4 weeks or more. Considering our results and the hypertension practice guidelines, we tend to recommend patients choose supervised AE.
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Affiliation(s)
- Yuxiao Deng
- Department of Exercise Physiology, Beijing Sport University, Beijing, P. R. China
| | - Xianxiang Zeng
- Department of Exercise Physiology, Beijing Sport University, Beijing, P. R. China
| | - Chunxue Tang
- Department of Exercise Physiology, Beijing Sport University, Beijing, P. R. China
| | - Xiao Hou
- Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, China
| | - Yanyan Zhang
- Department of Exercise Physiology, Beijing Sport University, Beijing, P. R. China
- Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, China
| | - Lijun Shi
- Department of Exercise Physiology, Beijing Sport University, Beijing, P. R. China
- Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, China
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Zila I, Kolomaznik M, Mikolka P, Kosutova P, Czippelova B, Javorka M, Calkovska A. Vagal cardiac control in rats with LPS-induced lung injury. Respir Physiol Neurobiol 2023; 316:104120. [PMID: 37473790 DOI: 10.1016/j.resp.2023.104120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/13/2023] [Accepted: 07/16/2023] [Indexed: 07/22/2023]
Abstract
Heart rate variability (HRV) as an index of cardiac autonomic control in acute lung injury (ALI) has been evaluated in anaesthetized rats intratracheally instilled with bacterial lipopolysaccharide (LPS) and ventilated with breathing frequency of 60/min, 40% oxygen, inspiratory time 40%, tidal volume of 6 mL/kg. ECG was recorded before and 30, 60, 120, 180 and 240 min after LPS or saline (control) administration. HRV was quantified by time and frequency-domain analysis (mean RR interval, SDRR, RMSSD and spectral power in high frequency (HF) band. Lactate in plasma, and oxidative stress, IL-1β, IL-5, IL-12p70 and IL-13 and galectin-3 in heart tissue raised in LPS-injured rats. Overall HRV magnitude (SDRR) and marker of vagal heart rate control (RMSSD), as well as frequency domain parameter, spectral power HF was increased 120 and 180 min since ALI onset. In conclusion, LPS-induced ALI is accompanied by altered vagal cardiac control mediated by autonomic nervous system, likely based on the close relationship between immune response and vagally mediated autonomic nervous activity.
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Affiliation(s)
- I Zila
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - M Kolomaznik
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - P Mikolka
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia; Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - P Kosutova
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - B Czippelova
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - M Javorka
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - A Calkovska
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.
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Bender BF, Berry JA. Trends in Passive IoT Biomarker Monitoring and Machine Learning for Cardiovascular Disease Management in the U.S. Elderly Population. ADVANCES IN GERIATRIC MEDICINE AND RESEARCH 2023; 5:e230002. [PMID: 37274061 PMCID: PMC10237513 DOI: 10.20900/agmr20230002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
It is predicted that the growth in the U.S. elderly population alongside continued growth in chronic disease prevalence will further strain an already overburdened healthcare system and could compromise the delivery of equitable care. Current trends in technology are demonstrating successful application of artificial intelligence (AI) and machine learning (ML) to biomarkers of cardiovascular disease (CVD) using longitudinal data collected passively from internet-of-things (IoT) platforms deployed among the elderly population. These systems are growing in sophistication and deployed across evermore use-cases, presenting new opportunities and challenges for innovators and caregivers alike. IoT sensor development that incorporates greater levels of passivity will increase the likelihood of continued growth in device adoption among the geriatric population for longitudinal health data collection which will benefit a variety of CVD applications. This growth in IoT sensor development and longitudinal data acquisition is paralleled by the growth in ML approaches that continue to provide promising avenues for better geriatric care through higher personalization, more real-time feedback, and prognostic insights that may help prevent downstream complications and relieve strain on the healthcare system overall. However, findings that identify differences in longitudinal biomarker interpretations between elderly populations and relatively younger populations highlights the necessity that ML approaches that use data from newly developed passive IoT systems should collect more data on this target population and more clinical trials will help elucidate the extent of benefits and risks from these data driven approaches to remote care.
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Affiliation(s)
| | - Jasmine A. Berry
- Robotics Institute, University of Michigan, College of Engineering, Ann Arbor, MI 48109, USA
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Self-recorded heart rate variability profiles are associated with health and lifestyle markers in young adults. Clin Auton Res 2022; 32:507-518. [PMID: 35999422 DOI: 10.1007/s10286-022-00884-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/04/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE To quantify associations between self-recorded heart rate variability (HRV) profiles and various health and lifestyle markers in young adults. METHODS Otherwise healthy volunteers (n = 40, 50% male) recorded 60-s, post-waking HRV with a cost-free mobile application in supine and standing positions for 7 days. The 7-day average and coefficient of variation (CV, reflects daily fluctuation) for the mean RR interval and root mean square of successive differences (LnRMSSD) were assessed. 7-day sleep duration and physical activity profiles were characterized via wrist-worn accelerometer. Subsequent laboratory assessments included aerobic fitness ([Formula: see text]O2peak) and markers of cardiovascular, metabolic, and psychoemotional health. Associations were evaluated before and after [Formula: see text]O2peak adjustment. RESULTS Bivariate correlations (P < 0.05) demonstrated that higher 7-day averages and/or lower CV values were associated with higher activity levels and superior cardiovascular (lower systolic and diastolic blood pressure [BP] and aortic stiffness [cf-PWV]), metabolic (lower body fat percentage, fasting glucose, and low-density lipoprotein cholesterol [LDL-C]), and psychoemotional health (lower perceived stress) markers, with some variation between sexes and recording position. In males, associations between HRV parameters and cf-PWV remained significant following [Formula: see text]O2peak adjustment (P < 0.05). In females, HRV parameters were associated (P < 0.05) with numerous cardiovascular (systolic and diastolic BP, cf-PWV) and metabolic (fasting glucose and LDL-C) parameters following [Formula: see text]O2peak adjustment. CONCLUSIONS Higher or more stable supine and standing HRV were generally associated with superior health and lifestyle markers in males and females. These findings lay groundwork for future investigation into the usefulness of self-recorded ultra-short HRV as a health-promoting behavior-modification tool in young adults.
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Casanova-Lizón A, Manresa-Rocamora A, Flatt AA, Sarabia JM, Moya-Ramón M. Does Exercise Training Improve Cardiac-Parasympathetic Nervous System Activity in Sedentary People? A Systematic Review with Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192113899. [PMID: 36360777 PMCID: PMC9656115 DOI: 10.3390/ijerph192113899] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/19/2022] [Accepted: 10/22/2022] [Indexed: 05/13/2023]
Abstract
The aim of this study was to investigate the training-induced effect on cardiac parasympathetic nervous system (PNS) activity, assessed by resting heart rate variability (HRV) and post-exercise heart rate recovery (HRR), in sedentary healthy people. Electronic searches were carried out in PubMed, Embase, and Web of Science. Random-effects models of between-group standardised mean difference (SMD) were estimated. Heterogeneity analyses were performed by means of the chi-square test and I2 index. Subgroup analyses and meta-regressions were performed to investigate the influence of potential moderator variables on the training-induced effect. The results showed a small increase in RMSSD (SMD+ = 0.57 [95% confidence interval (CI) = 0.23, 0.91]) and high frequency (HF) (SMD+ = 0.21 [95% CI = 0.01, 0.42]) in favour of the intervention group. Heterogeneity tests reached statistical significance for RMSSD and HF (p ≤ 0.001), and the inconsistency was moderate (I2 = 68% and 60%, respectively). We found higher training-induced effects on HF in studies that performed a shorter intervention or lower number of exercise sessions (p ≤ 0.001). Data were insufficient to investigate the effect of exercise training on HRR. Exercise training increases cardiac PNS modulation in sedentary people, while its effect on PNS tone requires future study.
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Affiliation(s)
- Antonio Casanova-Lizón
- Department of Sport Sciences, Sports Research Centre, Miguel Hernández University of Elche, 03202 Alicante, Spain
| | - Agustín Manresa-Rocamora
- Department of Sport Sciences, Sports Research Centre, Miguel Hernández University of Elche, 03202 Alicante, Spain
- Department of Sport Sciences, Alicante Institute for Health and Biomedical Research (ISABIAL), Miguel Hernandez University, 03010 Alicante, Spain
| | - Andrew A. Flatt
- Department of Health Sciences and Kinesiology, Georgia Southern University—Armstrong Campus, Savannah, GA 31419, USA
| | - José Manuel Sarabia
- Department of Sport Sciences, Sports Research Centre, Miguel Hernández University of Elche, 03202 Alicante, Spain
- Department of Sport Sciences, Alicante Institute for Health and Biomedical Research (ISABIAL), Miguel Hernandez University, 03010 Alicante, Spain
| | - Manuel Moya-Ramón
- Department of Sport Sciences, Sports Research Centre, Miguel Hernández University of Elche, 03202 Alicante, Spain
- Department of Sport Sciences, Alicante Institute for Health and Biomedical Research (ISABIAL), Miguel Hernandez University, 03010 Alicante, Spain
- Correspondence: ; Tel.: +34-9666-52-046
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