Analysis of the Radial Pulse Wave and its Clinical Applications: A Survey

Yang, Jinzhong; Yang, Lin; Liu, Wenyan; Du, Shuo; Xu, Lisheng; He, Guangyu; Avolio, Alberto; Yao, Yu-Dong

doi:10.1109/access.2021.3128916

Cited by 8 publications

(2 citation statements)

References 105 publications

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“…Structural changes to blood vessels, measured by changes in pulse waveform (PWF) features, have been shown to change with age 34 and overall vascular health status 35 . Linking functional biomarkers to molecular biomarkers will generate a clearer understanding of the cause-andeffect relationship and be able to identify potential areas where, independently, the two classes of biomarkers capture different aspects of the aging process.…”

Section: Functional Biomarkers Of Agingmentioning

confidence: 99%

Wearable-ome meets epigenome: A novel approach to measuring biological age with wearable devices

Sugden¹,

Preez²,

Olivier³

et al. 2023

Preprint

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Aging is an inevitable process of cellular and physiological decline. These markers of age can be measured on the molecular and functional level. Wearable devices offer a non-invasive continuous measure of physiological and behavioural features and how they pertain to aging. Wearable data can be used to extrapolate information derived from epigenetic biological age predictions and its underlying biology. LifeQ-enabled wearable devices were worn for 40 days to harvest data on 48 human participants. Thereafter blood was drawn and methylation levels determined using the Illumina EPIC array. Multiple epigenetic clock ages were calculated and compared with wearable features. Activity minutes correlated with VO2 max (p = 0.003), subendocardial viability ratio (SEVR, p < 0.01), blood pressure index (BPI, p = 0.02), resting heart rate (RHR, p < 0.01) and heart outflow (HO, p < 0.01). Sedentary time correlated with RHR (p < 0.01), VO2 max (p = 0.01), SEVR (p = 0.04), and HO (p = 0.04). VO2 max, SEVR, small artery resistance (SAR), BPI and large artery stiffness index (LASI) correlated with multiple epigenetic age clock outputs and chronological age but were most strongly correlated with PCPhenoAge. VO2 max, (p = 0.04) RHR (p < 0.01) and LASI (p = 0.04) were significantly correlated with PCPhenoAge acceleration. Weighted gene correlation network analysis (WGCNA) of the differentially methylated positions of PCPhenoAge acceleration was used to construct modules, identifying 3 modules correlating with wearable features. Behavioural features impact physiological state, measured by the wearable, which are associated with epigenetic age and age acceleration. Signal from the underlying biology of age acceleration can be picked up by the wearable, presenting a case that wearable devices can capture portions of biological aging.

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Section: Functional Biomarkers Of Agingmentioning

confidence: 99%

Wearable-ome meets epigenome: A novel approach to measuring biological age with wearable devices

Sugden¹,

Preez²,

Olivier³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…1d, bene ting from its structural exibility, the FAST device can be conformably attached to human skin and t to the curvature of the wrist. Such exibility of the sensor array enables substantial elimination of potential gaps in the sensor-skin interface caused by rigid tendons and protruded bone structures beneath, which present signi cant variations among different human subjects 31 . In order to accurately determine the arterial position, the lateral dimension of each single element is designed to be smaller than that of the arterial diameter, allowing at least one measuring unit positioned right above the attened radial artery.…”

Section: Operational Principlementioning

confidence: 99%

Flexible Adaptive Sensing Tonometry for Medical-grade Multi-parametric Hemodynamic Monitoring

Pan,

Deng,

et al. 2023

Preprint

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Continuous hemodynamic monitoring in a wearable means can play a crucial role in managing hypertension and preventing catastrophic cardiovascular events. In this study, we have described the first wearable tonometric device, referred to as flexible adaptive sensing tonometry (FAST), which is capable of continuous and accurate monitoring of hemodynamic parameters within the medical-grade precision. In particular, the FAST system integrates a 1×8 unit array of highly sensitive and highly flexible iontronic sensing (FITS) with 1mm spatial resolution and a closed-loop motion system. The flexible tonometric architecture has been used to determine the radial arterial position with high sensitivity and high conformability, which simplifies the biaxial searching process of the traditional applanation tonometry into a highly efficient uniaxial applanation while keeping the medical-precision assessments. Importantly, a self-calibration algorithm can be automatically implemented during the applanation process, from which the intra-arterial blood pressure wave can be continuously predicted within the medical-grade precision, and subsequently, multi-parametric hemodynamic analysis can be performed in real-time. Experimental validations on health volunteers have demonstrated that the FAST measurements are all within the required accuracy of the clinical standards for continuous pulse wave assessments, blood pressure monitoring as well as other key hemodynamic parameter evaluations. Therefore, the FAST system, by integrating the flexible iontronic sensing array, provides a real-time, medical-grade hemodynamic monitoring solution in a continuously wearable manner, from which remote patient-centered monitoring can be delivered with both medical precision and convenience.

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Microcavity assisted graphene pressure sensor for single-vessel local blood pressure monitoring

Luo,

Wu,

Zheng

et al. 2024

Nano Res.

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Analysis of the Radial Pulse Wave and its Clinical Applications: A Survey

Cited by 8 publications

References 105 publications

Wearable-ome meets epigenome: A novel approach to measuring biological age with wearable devices

Wearable-ome meets epigenome: A novel approach to measuring biological age with wearable devices

Flexible Adaptive Sensing Tonometry for Medical-grade Multi-parametric Hemodynamic Monitoring

Microcavity assisted graphene pressure sensor for single-vessel local blood pressure monitoring

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