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Ballistocardiogram (BCG) captures minute vibrations generated by heart movements. These vibrations are converted into heart rate variability (HRV) indices, allowing their unobtrusive monitoring over extended periods, while reducing the burden on patients or subjects. In this study, to evaluate the agreement between the HRV indices, we compared the HRV indices estimated from the BCG device with those obtained from the gold standard electrocardiogram (ECG). Twenty-five healthy volunteers (mean age: 40.6 ± 12.8 years; 14 males and 11 females) rested in the supine position on a bed with a BCG device placed under a pillow while ECG electrodes were attached. BCG and ECG measurements were simultaneously recorded for 20 min. Five min of time-series data for the JJ and RR intervals obtained from BCG and ECG were converted into HRV indices. These indices included the time-domain measures (mean inter-beat intervals [IBIs], standard deviation of normal-to-normal intervals [SDNN], root mean square of successive differences [RMSSD], and percent of difference between adjacent normal RR intervals greater than 50 ms [pNN50]) and frequency-domain measures (normalized low-frequency [LF], high-frequency power [HF], and LF/HF ratio). Of the 25 individuals, data of 22 (mean age: 38.9 ± 12.3 years; 13 males and 9 females) were used to assess the agreement between the two methods, excluding 3 (1 male and 2 females) with frequent premature ventricular contractions observed on ECG. Correlations between measurements were examined using scatter plots and Pearson's product-moment correlation coefficients; in contrast, differences between measurements were evaluated using paired t-tests. The Bland-Altman analysis was used to assess the agreement. For the mean IBIs, the correlation coefficient was 0.999 (p < 0.001), and the limits of agreement ranged from - 8.35 to 11.70, with no evidence of fixed bias (p = 0.139) or proportional bias (p = 0.402), indicating excellent agreement. In contrast, the correlation coefficients for SDNN, RMSSD, and pNN50 were 0.931 (p < 0.001), 0.923 (p < 0.001), and 0.964 (p < 0.001), respectively, showing high correlations. However, a fixed bias was observed in RMSSD (p = 0.007) and pNN50 (p = 0.010), and a proportional bias in SDNN (p = 0.002). The correlation coefficients for LF, HF, and LF/HF ratio were approximately 0.7, indicating lower agreement owing to observed fixed and proportional biases. These results indicate that, while the degree of agreement varies among HRV indices, the JJ intervals measured from BCG can be used as a suitable alternative to the RR intervals from ECG.
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http://dx.doi.org/10.1007/s00380-024-02506-2 | DOI Listing |
Heart Rhythm
August 2025
National Heart and Lung Institute, Imperial College, London, United Kingdom; Department of Internal Medicine and Cardiology, Masaryk University, Brno, Czech Republic. Electronic address:
Heart rate belongs to the most essential clinical indices assessed in virtually every patient. It is also well known, although certainly not so widely utilized, that in addition to the mean frequency of cardiac periods, their variability provides further clinical indicators. The predictive value of low heart rate variability (HRV) is nothing new.
View Article and Find Full Text PDFBMC Public Health
September 2025
Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Background: Questionnaires that assess psychological functioning are 21 limited by their subjective nature, while HRV can serve as a more objective 22 (but also complex) index of such functioning. This study aims to validate sex 23 differences in college students' mental well-being using psychological scales 24 and HRV, and to investigate the correlation between psychological scales 25 and HRV for each sex.
Method: 240 college students (120 males and 120 females, aged 18-22 27 years) were recruited via cluster sampling from 1st Sept.
J Equine Vet Sci
September 2025
Center for Veterinary Research and Innovation, Faculty of Veterinary Medicine, Kasetsart University Bang Khen Campus, Bangkok 10900, Thailand; Department of Large Animal and Wildlife Clinical Science, Faculty of Veterinary Medicine, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom 73140, Th
Background: The impact of climate conditions and stable design on horses housed in individual stalls plays a significant role in their well-being, especially in tropical climates. Limited information exists regarding their conditions during the monsoon season.
Objective: This study focused on the stable microclimate and autonomic regulation of horses kept in different stable architectures during the monsoon in a tropical setting.
Water Res
August 2025
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, Xi'an, 710069, China; The Collaboration Unit for State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Health Commission Key Laborat
Human parainfluenza virus (HPIV) and human rhinovirus (HRV) significantly contribute to acute respiratory tract infections (ARIs), especially in children. Wastewater surveillance (WWS) is a valuable tool for monitoring these viruses, but limited understanding of their fecal shedding patterns restricts the broader application of WWS. This study aimed to investigate fecal shedding dynamics of HPIV and HRV for developing a mass-balance model to predict infection prevalence, and conduct wastewater sequencing to explore genetic diversity.
View Article and Find Full Text PDFSage Open Aging
August 2025
Universidade de Évora, Portugal.
This study investigated the influence of physical activity (PA) levels on the long-term retention of the effects on cardiac autonomic control, assessed by heart rate variability (HRV), following a 16-week high-speed resistance training (HSRT) program over a 12-month follow-up period. At 12-month follow-up period, 36 participants who completed the measurements were categorized into light activity group (LAG) and moderate-to-vigorous activity group (MVAG) based on their PA levels. HRV data were recorded over a 6-min period.
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