Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability—What We Know and What Is Coming

Alugubelli, Navya; Abuissa, Hussam; Roka, Attila

doi:10.3390/s22228903

Cited by 36 publications

(34 citation statements)

References 88 publications

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Section: Discussionmentioning

confidence: 99%

“…Cardiovascular metrics were the most utilized objective measurement and were likely selected due to their evidence base and relative ease of measurement via consumer devices. 84 Studies utilizing eye-tracking metrics opted for wearable glasses-style or head-mounted devices. Eye-tracking bar-type devices are also available, which have been used in nonsurgical settings but not within surgery to our knowledge.…”

Section: Metricsmentioning

confidence: 99%

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Surgical Sabermetrics

Howie,

Ambler,

Gunn

et al. 2024

Annals of Surgery

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Objective: To evaluate the current evidence for surgical sabermetrics: digital methods of assessing surgical non-technical skills and investigate the implications for enhancing surgical performance. Background: Surgeons need high-quality, objective, and timely feedback to optimise performance and patient safety. Digital tools to assess non-technical skills have potential to reduce human bias and aid scalability. However, we do not fully understand which of the myriad of digital metrics of performance assessment have efficacy for surgeons. Methods: A systematic review was conducted by searching PubMed, EMBASE, CINAHL, and PSYCINFO databases following PRISMA-ScR guidelines. MeSH terms and keywords included “Assessment” “Surgeons” and “Technology”. Eligible studies included digital assessment of non-technical skills for surgeons, residents, and/or medical students within an operative context. Results: From 19,229 articles screened, 81 articles met inclusion criteria. The studies varied in surgical specialities, settings, and outcome measurements. A total of 122 distinct objective, digital metrics were utilized. Studies digitally measured at least one category of surgical non-technical skill using single(n=54) or multiple objective measures(n=27). The majority of studies utilised simulation(n=48) over live operative settings (n=32). Surgical Sabermetrics has been demonstrated to be beneficial in measuring cognitive load(n=57), situation awareness(n=24), communication(n=3), teamwork(n=13), and leadership(n=2). No studies measured intraoperative decision-making. Conclusions: The literature detailing the intersection between surgical data science and operative non-technical skills is diverse and growing rapidly. Surgical Sabermetrics may provide a promising modifiable technique to achieve desirable outcomes for both the surgeon and the patient. This study identifies a diverse array of measurements possible with sensor devices and highlights research gaps, including need for objective assessment of decision-making. Future studies may advance the integration of physiological sensors to provide holistic assessment of surgical performance.

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Section: Discussionmentioning

confidence: 99%

Section: Metricsmentioning

confidence: 99%

Surgical Sabermetrics

Howie,

Ambler,

Gunn

et al. 2024

Annals of Surgery

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“…With the development of flexible wearable sensors, essential physiological parameters have been monitored in sports and health care in an entirely new way, providing remarkable advancements and promising opportunities (Yan et al , 2020; Dhanvijay and Patil, 2019; Alugubelli et al , 2022; Yan et al , 2015; Faruk et al , 2021). Sensors that monitor bioelectrical signals, motion data and biochemical markers play an important role in the management of personal health.…”

Section: Introductionmentioning

confidence: 99%

Wearable sensors for monitoring vital signals in sports and health: progress and perspective

Zhao,

Feng,

Cao

et al. 2024

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Purpose This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics. Design/methodology/approach In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices. Findings This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution. Originality/value The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.

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“…VHDs are usually diagnosed by echocardiography, computed tomography or magnetic resonance imaging [ 9 ], which are not feasible in outpatient monitoring [ 11 ]. This problem has been addressed by applying various methods [ 12 , 13 ], including exercise electrocardiography (ECG) [ 14 ], seismocardiography (SCG) or gyrocardiography (GCG), which register the current mechanical function of the heart with an inertial measurement unit (IMU) placed on the chest wall [ 11 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms of Healthy Volunteers and Patients with Valvular Heart Diseases

Sieciński

Tkacz

Kostka

2023

Sensors

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Heart rate variability (HRV) is the physiological variation in the intervals between consecutive heartbeats that reflects the activity of the autonomic nervous system. This parameter is traditionally evaluated based on electrocardiograms (ECG signals). Seismocardiography (SCG) and/or gyrocardiography (GCG) are used to monitor cardiac mechanical activity; therefore, they may be used in HRV analysis and the evaluation of valvular heart diseases (VHDs) simultaneously. The purpose of this study was to compare the time domain, frequency domain and nonlinear HRV indices obtained from electrocardiograms, seismocardiograms (SCG signals) and gyrocardiograms (GCG signals) in healthy volunteers and patients with valvular heart diseases. An analysis of the time domain, frequency domain and nonlinear heart rate variability was conducted on electrocardiograms and gyrocardiograms registered from 29 healthy male volunteers and 30 patients with valvular heart diseases admitted to the Columbia University Medical Center (New York City, NY, USA). The results of the HRV analysis show a strong linear correlation with the HRV indices calculated from the ECG, SCG and GCG signals and prove the feasibility and reliability of HRV analysis despite the influence of VHDs on the SCG and GCG waveforms.

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Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability—What We Know and What Is Coming

Cited by 36 publications

References 88 publications

Surgical Sabermetrics

Surgical Sabermetrics

Wearable sensors for monitoring vital signals in sports and health: progress and perspective

Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms of Healthy Volunteers and Patients with Valvular Heart Diseases

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