Characterization of the vascular system using overnight wearable-based pulse arrival time and ambulatory blood pressure: A pilot study

Hong, Jingyuan; Zheng, Yali; Wu, Shenghao; Geng, Guoqiang; Liu, Qing; Poon, Chi‐Sang

doi:10.1016/j.compbiomed.2021.104861

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…For instance, the work by (41) has explored the use of photoplethysmography, a non-invasive optical method, for monitoring blood pressure, suggesting a pathway for future wearable technology developments. Similarly, (42) showed big potential in concluding that wearable-based pulse arrival time (PAT) contains complementary information about the vascular system to the ambulatory blood pressure, which may be useful for designing effective antihypertensive treatments.…”

Section: Big Data and Wearable Technologiesmentioning

confidence: 99%

Big Data in Sports Medicine and Exercise Science: Integrating Theory and Practice for Future Innovations

Dergaa,

Chamari

2024

TJSSM

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Background: Big data has been successfully applied in medicine, offering remarkable advancements in patient care and health management. The rise of big data in sports medicine and exercise science is a pivotal development, offering fresh perspectives on optimizing athlete performance, preventing injuries, and managing non-communicable diseases (NCDs). This review explores the integration and the potential of big data in these areas, with a particular focus on wearables, genomics, and metabolomics. Objectives: The objectives of this study were: (i) to present the current state of big data in sports medicine, including its applications and advancements in wearables, genomics, and metabolomics, and (ii) to outline the future prospects of big data in sports medicine and exercise science, emphasizing a call to action for ongoing research and interdisciplinary collaboration. Methods: An extensive review of the existing literature and current practices in the application of big data in sports medicine was conducted. The review concentrated on the advancements and applications in the fields of wearables, genomics, and metabolomics, and their implications for sports science and health management. Results: The application of big data has significantly influenced sports medicine, particularly through advanced wearable technologies for monitoring physiological parameters, genomic approaches for personalized athlete care, and metabolomics for in-depth analysis of metabolic responses to exercise. These developments have led to more individualized training and rehabilitation programs, effective injury prevention strategies, and better health management practices for both athletes and the general population. Conclusion: The integration of big data into sports medicine signifies a substantial shift towards more data-driven and tailored approaches. This progression fosters interdisciplinary collaboration and opens new avenues for research in areas like biomechanics and transcriptomics. Leveraging these opportunities can lead to practical improvements in athlete care, health management, and a broader understanding of sports science, benefiting both the sports community and the wider public.

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Section: Big Data and Wearable Technologiesmentioning

confidence: 99%

Big Data in Sports Medicine and Exercise Science: Integrating Theory and Practice for Future Innovations

Dergaa,

Chamari

2024

TJSSM

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“…In addition to standard measurements in the time and frequency domains, the development of advanced methods for time series analysis in the information-theoretic domain provides further capability to detect and classify altered physio-pathological states [6], [13]. Moreover, the ease of implementation of algorithms capable of performing such analyses on portable devices constitutes a precious advantage for monitoring and also for early diagnosis of CVDs [14], [15]. In this sense, HRV indices have been employed not only as marker of ANS functioning, but also to estimate CVD risk [16].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Cardiac Pulse Arrival Time Series at Rest and during Physiological Stress

Barà

Pernice

Sparacino

et al. 2022

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)

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The study of cardiovascular dynamics is pivotal in the prevention and monitoring of cardiovascular diseases. Pulse Arrival Time (PAT) series contain information concerning not only the dynamics of the Autonomic Nervous System (ANS), but of all the systems involved in the regulation of cardiovascular homeostasis. This study aims to highlight how indexes extracted from PAT series in time-, frequency-and information-domain allow to discriminate among different physiological conditions. Analyses were carried out on 76 young healthy subjects, at rest and during orthostatic or mental stress. Our results show that PAT indexes vary according to the ANS condition, and may thus be useful parameters for the classification of physiological stress.

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Innovations in blood pressure measurement and reporting technology: International Society of Hypertension position paper endorsed by the World Hypertension League, European Society of Hypertension, Asian Pacific Society of Hypertension, and Latin American Society of Hypertension

Kario,

Williams,

Tomitani

et al. 2024

Journal of Hypertension

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Blood pressure (BP) is a key contributor to the lifetime risk of preclinical organ damage and cardiovascular disease. Traditional clinic-based BP readings are typically measured infrequently and under standardized/resting conditions and therefore do not capture BP values during normal everyday activity. Therefore, current hypertension guidelines emphasize the importance of incorporating out-of-office BP measurement into strategies for hypertension diagnosis and management. However, conventional home and ambulatory BP monitoring devices use the upper-arm cuff oscillometric method and only provide intermittent BP readings under static conditions or in a limited number of situations. New innovations include technologies for BP estimation based on processing of sensor signals supported by artificial intelligence tools, technologies for remote monitoring, reporting and storage of BP data, and technologies for BP data interpretation and patient interaction designed to improve hypertension management (“digital therapeutics”). The number and volume of data relating to new devices/technologies is increasing rapidly and will continue to grow. This International Society of Hypertension position paper describes the new devices/technologies, presents evidence relating to new BP measurement techniques and related indices, highlights standard for the validation of new devices/technologies, discusses the reliability and utility of novel BP monitoring devices, the association of these metrics with clinical outcomes, and the use of digital therapeutics. It also highlights the challenges and evidence gaps that need to be overcome before these new technologies can be considered as a user-friendly and accurate source of novel BP data to inform clinical hypertension management strategies.

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Characterization of the vascular system using overnight wearable-based pulse arrival time and ambulatory blood pressure: A pilot study

Cited by 3 publications

References 30 publications

Big Data in Sports Medicine and Exercise Science: Integrating Theory and Practice for Future Innovations

Big Data in Sports Medicine and Exercise Science: Integrating Theory and Practice for Future Innovations

Analysis of Cardiac Pulse Arrival Time Series at Rest and during Physiological Stress

Innovations in blood pressure measurement and reporting technology: International Society of Hypertension position paper endorsed by the World Hypertension League, European Society of Hypertension, Asian Pacific Society of Hypertension, and Latin American Society of Hypertension

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