Wearable technology and the cardiovascular system: the future of patient assessment

Williams, Gareth; Albaraikan, Abdulaziz; Rademakers, Frank; Ciravegna, Fabio; Vosse, F.N. van de; Lawrie, Allan; Rothman, Alexander; Ashley, Euan A.; Wilkins, Martin R.; Lawford, Patricia; Omholt, Stig W.; Wisløff, Ulrik; Hose, D.R.; Chico, Timothy J. A.; Gunn, Julian; Morris, Paul D

doi:10.1016/s2589-7500(23)00087-0

Cited by 40 publications

(17 citation statements)

References 67 publications

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“…However, when accelerometer signals are combined with signals from an ECG or PPG it allows for more comprehensive health monitoring. Cardiac data from PPG/ECG signals has consistently shown to have strong associations with CVD and poor clinical outcomes; this allows for interpretation of cardiac health that is not possible from accelerometer devices alone [ 172 ]. The incorporation of cardiac signals also allows for the detection of specific health conditions including arrhythmia’s [ 172 ].…”

Section: Future Challenges and Opportunitiesmentioning

confidence: 99%

“…Cardiac data from PPG/ECG signals has consistently shown to have strong associations with CVD and poor clinical outcomes; this allows for interpretation of cardiac health that is not possible from accelerometer devices alone [ 172 ]. The incorporation of cardiac signals also allows for the detection of specific health conditions including arrhythmia’s [ 172 ]. Further, multi-modal signals can improve the evaluation of free-living data.…”

Section: Future Challenges and Opportunitiesmentioning

confidence: 99%

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Wearable Sensors as a Preoperative Assessment Tool: A Review

Syversen,

Dosis,

Jayne

et al. 2024

Sensors

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Surgery is a common first-line treatment for many types of disease, including cancer. Mortality rates after general elective surgery have seen significant decreases whilst postoperative complications remain a frequent occurrence. Preoperative assessment tools are used to support patient risk stratification but do not always provide a precise and accessible assessment. Wearable sensors (WS) provide an accessible alternative that offers continuous monitoring in a non-clinical setting. They have shown consistent uptake across the perioperative period but there has been no review of WS as a preoperative assessment tool. This paper reviews the developments in WS research that have application to the preoperative period. Accelerometers were consistently employed as sensors in research and were frequently combined with photoplethysmography or electrocardiography sensors. Pre-processing methods were discussed and missing data was a common theme; this was dealt with in several ways, commonly by employing an extraction threshold or using imputation techniques. Research rarely processed raw data; commercial devices that employ internal proprietary algorithms with pre-calculated heart rate and step count were most commonly employed limiting further feature extraction. A range of machine learning models were used to predict outcomes including support vector machines, random forests and regression models. No individual model clearly outperformed others. Deep learning proved successful for predicting exercise testing outcomes but only within large sample-size studies. This review outlines the challenges of WS and provides recommendations for future research to develop WS as a viable preoperative assessment tool.

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Section: Future Challenges and Opportunitiesmentioning

confidence: 99%

Section: Future Challenges and Opportunitiesmentioning

confidence: 99%

Wearable Sensors as a Preoperative Assessment Tool: A Review

Syversen,

Dosis,

Jayne

et al. 2024

Sensors

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“…Crafted to gauge physical activity, heart rate, heart rhythm, and various physiological parameters, these wearable devices prove instrumental in cardiovascular risk assessment, preemptive health strategies, diagnostic endeavors, and ongoing condition management [12,13]. Despite their potential merits, several impediments loom, including concerns regarding device accuracy, clinical validity, regulatory protocols, privacy safeguards, and the imperative for large-scale trials [11,13,14]. A concerted, collaborative endeavor among stakeholders emerges as imperative to surmount these challenges and seamlessly integrate wearable technologies into the clinical continuum, thereby optimizing patient care [14].…”

Section: Smartwatches and Fitness Trackersmentioning

confidence: 99%

“…Despite their potential merits, several impediments loom, including concerns regarding device accuracy, clinical validity, regulatory protocols, privacy safeguards, and the imperative for large-scale trials [11,13,14]. A concerted, collaborative endeavor among stakeholders emerges as imperative to surmount these challenges and seamlessly integrate wearable technologies into the clinical continuum, thereby optimizing patient care [14]. Through such collective efforts, the transformative potential of wearable technologies in cardiovascular medicine can be fully harnessed, paving the way for enhanced patient outcomes and more efficient healthcare delivery.…”

Section: Smartwatches and Fitness Trackersmentioning

confidence: 99%

“…The utilization of wearable technologies in cardiovascular medicine, including smart clothing embedded with sensors, is swiftly gaining traction as a valuable resource for monitoring and managing cardiovascular health. These innovative devices furnish continuous data on many physiological parameters, encompassing heart rate, activity levels, and blood pressure, thus affording a more holistic perspective on health status than conventional sporadic assessments [14,20]. Demonstrating promise in disease screening and monitoring, wearable devices hold the potential to tailor and optimize the management of CVDs on both individual and population-wide scales [14,20].…”

Section: Smart Clothingmentioning

confidence: 99%

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A Comprehensive Review on Advancements in Wearable Technologies: Revolutionizing Cardiovascular Medicine

Bhaltadak,

Ghewade,

Yelne

2024

Cureus

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Wearable technologies have emerged as powerful tools in healthcare, offering continuous monitoring and personalized insights outside traditional clinical settings. These devices have garnered significant attention in cardiovascular medicine for their potential to transform patient care and improve outcomes. This comprehensive review provides an overview of wearable technologies' evolution, advancements, and applications in cardiovascular medicine. We examine the miniaturization of sensors, integration of artificial intelligence (AI), and proliferation of remote patient monitoring solutions. Key findings include the role of wearables in the early detection of cardiovascular conditions, personalized health tracking, and remote patient management. Challenges such as data privacy concerns and regulatory hurdles are also addressed. The adoption of wearable technologies holds promise for shifting healthcare from reactive to proactive, enabling precision diagnostics, treatment optimization, and preventive strategies. Collaboration among healthcare stakeholders is essential to harnessing the full potential of wearables in cardiovascular medicine and ushering in a new era of personalized, proactive healthcare.

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Long‐Term Used Continuous Blood Pressure Monitoring via Personalized Object Transfer Learning Architecture Enhanced Triboelectric Pulse Sensors

Yao,

Liu,

et al. 2024

Adv Funct Materials

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Cardiovascular diseases remain the leading cause of global mortality, underscoring the importance of continuous blood pressure (BP) monitoring for early diagnosis and management. However, due to individual diversity and temporal variability of patients physiological characteristics, traditional BP models suffer from inaccuracies over time, hampering the practical applications of continuous BP monitoring devices. Herein, a personalized object transfer learning architecture (POTLA) enhanced triboelectric pulse sensor is developed for accurate long‐term used continuous BP monitoring. Utilizing inversed molding‐replica technique, a nanopillar triboelectric pulse sensor (NTPS) is fabricated, which possesses desirable linear response, high sensitivity, and remarkable durability. The NTPS can detect the detailed features of pulse signals for BP derivation. Further, the POTLA is proposed to enhanced the BP models, which effectively addresses the individual diversity and temporal variability, thereby minimizing errors in BP monitoring for long‐term use of the sensors. A 6‐month follow‐up test involving five participants demonstrates that the POTLA significantly optimizes the BP derivation, with accuracy improvements of >27%, comparing to the universal and personalized BP models without the POTLA. This POTLA‐coupled sensor strategy holds promise for enhancing precision medicine and advancing healthcare applications.

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Wearable technology and the cardiovascular system: the future of patient assessment

Cited by 40 publications

References 67 publications

Wearable Sensors as a Preoperative Assessment Tool: A Review

Wearable Sensors as a Preoperative Assessment Tool: A Review

A Comprehensive Review on Advancements in Wearable Technologies: Revolutionizing Cardiovascular Medicine

Long‐Term Used Continuous Blood Pressure Monitoring via Personalized Object Transfer Learning Architecture Enhanced Triboelectric Pulse Sensors

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