The Relationship Between Blood Perfusion in the Lower Extremities and Heart Rate Variability at Different Positions

Jia, Shuyong; Wang, Qizhen; Li, Hongyan; Song, Xiaojing; Wang, Shuyou; Zhang, Weibo; Wang, Guangjun

doi:10.3389/fphys.2021.656527

Cited by 3 publications

(3 citation statements)

References 40 publications

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“…Following a period of cardiovascular stability (40 min) after arrival at the laboratory, upper limb blood perfusion signals were recorded for at least 15 min with a 64 Hz sample rate. Considering that there may be left-right differences in cutaneous LDF 3 The data that support the findings and scripts used in this study are deposited in Figshare (https://doi.org/10.6084/m9.figshare.16384077.v1).…”

supporting

confidence: 59%

Oscillation intervals of cutaneous blood perfusion as indicators of aging

Wang¹,

Jia²,

Song³

et al. 2021

Preprint

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A total of 30 healthy participants (Old, aged >40 years, n=12; Young, age<40, n=18) were recruited, and their bilateral upper limb blood flow was recorded. The results showed that on either the left or right side, the average oscillation intervals of the lower age were significantly higher than those of the older age and that on the left or right side, the average interval was negatively and weakly correlated with age. The current study provides a window to access age-related changes on the oscillation interval of cutaneous laser Doppler flowmetry.

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supporting

confidence: 59%

Oscillation intervals of cutaneous blood perfusion as indicators of aging

Wang¹,

Jia²,

Song³

et al. 2021

Preprint

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“…Some reports suggest that there are gender differences in terms of both thermoregulation 47 and blood flow regulation 48 . However, from the perspective of complexity analysis of blood flow signals, there is no gender difference in the blood flow between the left and right sides of the lower extremities under different body positions 24 . In the current study, the majority of the subjects recruited were female.…”

Section: Discussionmentioning

confidence: 99%

“…As part of the cardioautonomic response, skin blood flow regulation 23 and heart rate are all regulated by the autonomic nervous system. Due to the different adaptability of blood flow on different sides of the body due to changes in position 24 , we hypothesized that as another environmental change, temperature stimulation in the digestive tract can also induce different responses of blood perfusion on different sides, showing a certain laterality. To test these hypotheses, we conducted a randomized control study to compare the cutaneous blood perfusion changes in response to saline of different temperatures and we also evaluated the relationship between EGG dominant frequency (DF) and cardiovascular variables.…”

Section: Introductionmentioning

confidence: 99%

Laterality of blood perfusion in the lower extremities after drinking saline at different temperatures

Jia

Wang

et al. 2023

Sci Rep

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Skin blood flux (SkBF) changes caused by drinking cold water are generally associated with vagal tone and osmotic factors in the digestive system. However, there is still a lack of relevant research on whether there are left and right differences in these SkBF change. In the current study, a total of 60 subjects were recruited. Skin blood perfusion of the bilateral lower extremities was recorded simultaneously before and after drinking saline of different temperatures saline by using Laser Doppler flowmetry (LDF). The electrogastrogram (EGG) was also monitored, and the dominant frequency of the EGG and heart rate variability were analyzed. The results indicated that after drinking saline, the laterality index of SkBF at the lower extremities was different and the laterality index changes of SkBF were mainly reflected in the frequency interval V (0.4–1.6 Hz). There was a weak negative correlation between the laterality index of endothelial NO-dependent component and change rate of root mean square of successive differences (RMSSD) after drinking 4 °C saline. However, after drinking 30 °C saline, there was a weak positive correlation between neurogenic component and RMSSD The distribution and regulation of bilateral blood flow are not symmetrical but exhibit a certain laterality.

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Predicting Sleep Quality through Biofeedback: A Machine Learning Approach Using Heart Rate Variability and Skin Temperature

Di Credico,

Perpetuini,

Izzicupo

et al. 2024

Clocks & Sleep

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Sleep quality (SQ) is a crucial aspect of overall health. Poor sleep quality may cause cognitive impairment, mood disturbances, and an increased risk of chronic diseases. Therefore, assessing sleep quality helps identify individuals at risk and develop effective interventions. SQ has been demonstrated to affect heart rate variability (HRV) and skin temperature even during wakefulness. In this perspective, using wearables and contactless technologies to continuously monitor HR and skin temperature is highly suited for assessing objective SQ. However, studies modeling the relationship linking HRV and skin temperature metrics evaluated during wakefulness to predict SQ are lacking. This study aims to develop machine learning models based on HRV and skin temperature that estimate SQ as assessed by the Pittsburgh Sleep Quality Index (PSQI). HRV was measured with a wearable sensor, and facial skin temperature was measured by infrared thermal imaging. Classification models based on unimodal and multimodal HRV and skin temperature were developed. A Support Vector Machine applied to multimodal HRV and skin temperature delivered the best classification accuracy, 83.4%. This study can pave the way for the employment of wearable and contactless technologies to monitor SQ for ergonomic applications. The proposed method significantly advances the field by achieving a higher classification accuracy than existing state-of-the-art methods. Our multimodal approach leverages the synergistic effects of HRV and skin temperature metrics, thus providing a more comprehensive assessment of SQ. Quantitative performance indicators, such as the 83.4% classification accuracy, underscore the robustness and potential of our method in accurately predicting sleep quality using non-intrusive measurements taken during wakefulness.

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The Relationship Between Blood Perfusion in the Lower Extremities and Heart Rate Variability at Different Positions

Cited by 3 publications

References 40 publications

Oscillation intervals of cutaneous blood perfusion as indicators of aging

Oscillation intervals of cutaneous blood perfusion as indicators of aging

Laterality of blood perfusion in the lower extremities after drinking saline at different temperatures

Predicting Sleep Quality through Biofeedback: A Machine Learning Approach Using Heart Rate Variability and Skin Temperature

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