{"title":"ANALYSIS OF HRV FOR POSTURAL CHANGE OF YOUNG ADULTS USING SIGNAL PROCESSING METHODS","authors":"Ankit Soni, K. Rawal","doi":"10.4015/s1016237222500284","DOIUrl":null,"url":null,"abstract":"Heart rate variability (HRV) is a fundamental physiological marker for assessing the autonomic nervous system’s (ANS) reaction. The response of the ANS is influenced by a variety of physical activities, i.e. body postural change. This paper aims to analyze the effect of physical activities such as postural change on HRV. To study this, a dataset of 56 subjects electrocardiogram (ECG) was self-recorded in two body postures (i) Supine and (ii) Standing. For the acquisition of ECG, the BIOPAC[Formula: see text]MP36 system has been used at a 500[Formula: see text]Hz sampling frequency. Further, HRV signals of each subject from recorded ECG have been extracted and selected linear, and nonlinear techniques have been used to determine the effect of postural shift on it. Further, the spearman rank correlation coefficient has been evaluated between the calculated parameters to determine the correlation between linear and nonlinear parameters. The obtained results indicate that the HRV is at a higher scale in the supine posture, while it is at a lower scale when the posture has been changed from supine to standing. The change that occurred in the response of HRV with the postural change indicates that the sympathetic activation of ANS is increased in the standing body posture.","PeriodicalId":8862,"journal":{"name":"Biomedical Engineering: Applications, Basis and Communications","volume":"22 8-9 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Engineering: Applications, Basis and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4015/s1016237222500284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 1
Abstract
Heart rate variability (HRV) is a fundamental physiological marker for assessing the autonomic nervous system’s (ANS) reaction. The response of the ANS is influenced by a variety of physical activities, i.e. body postural change. This paper aims to analyze the effect of physical activities such as postural change on HRV. To study this, a dataset of 56 subjects electrocardiogram (ECG) was self-recorded in two body postures (i) Supine and (ii) Standing. For the acquisition of ECG, the BIOPAC[Formula: see text]MP36 system has been used at a 500[Formula: see text]Hz sampling frequency. Further, HRV signals of each subject from recorded ECG have been extracted and selected linear, and nonlinear techniques have been used to determine the effect of postural shift on it. Further, the spearman rank correlation coefficient has been evaluated between the calculated parameters to determine the correlation between linear and nonlinear parameters. The obtained results indicate that the HRV is at a higher scale in the supine posture, while it is at a lower scale when the posture has been changed from supine to standing. The change that occurred in the response of HRV with the postural change indicates that the sympathetic activation of ANS is increased in the standing body posture.
期刊介绍:
Biomedical Engineering: Applications, Basis and Communications is an international, interdisciplinary journal aiming at publishing up-to-date contributions on original clinical and basic research in the biomedical engineering. Research of biomedical engineering has grown tremendously in the past few decades. Meanwhile, several outstanding journals in the field have emerged, with different emphases and objectives. We hope this journal will serve as a new forum for both scientists and clinicians to share their ideas and the results of their studies.
Biomedical Engineering: Applications, Basis and Communications explores all facets of biomedical engineering, with emphasis on both the clinical and scientific aspects of the study. It covers the fields of bioelectronics, biomaterials, biomechanics, bioinformatics, nano-biological sciences and clinical engineering. The journal fulfils this aim by publishing regular research / clinical articles, short communications, technical notes and review papers. Papers from both basic research and clinical investigations will be considered.