Deconstructing Commercial Wearable Technology: Contributions toward Accurate and Free-Living Monitoring of Sleep

Rentz, Lauren E.; Ulman, Hana K.; Galster, Scott M.

doi:10.3390/s21155071

Cited by 31 publications

(14 citation statements)

References 99 publications

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“…Wearable sleep monitoring is gaining popularity, indicating the possibility of expanding burnout research through the use of wearable technology ( 58 ). On the other hand, the wide range of accuracy among commercial sleep technologies highlights the critical need for ongoing evaluations of newly developed sleep technologies ( 59 , 60 ).…”

Section: Discussionmentioning

confidence: 99%

Burnout and Cardiovascular Risk in Healthcare Professionals During the COVID-19 Pandemic

et al. 2022

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IntroductionThe objective of this study was to investigate the psychosocial and cardiovascular markers in healthcare professionals during the COVID-19 pandemic.MethodsThis was a STROBE compliant, blended exploratory study. Residents, staff physicians, nurses, and auxiliary healthcare professionals from both inpatient and outpatient medicine services were recruited using a planned random probability sample. The Maslach Burnout Inventory (MBI), Fuster-BEWAT score (FBS), and socio-demographic factors, as well as sleep quality, were studied. The correlations between burnout severity and cardiovascular risk were examined using multivariable linear regression models adjusted for confounding variables, such as sociodemographic and anthropometric characteristics.ResultsThe regression analysis with FBS as the outcome showed a negative association between cardiovascular health and emotional exhaustion [Coef.(95%CI): −0.029 (−0.048, −0.01), p = 0.002]. The higher the emotional exhaustion the lower the cardiovascular health. Further, the model showed a positive association between personal accomplishment and cardiovascular health [Coef.(95%CI): 0.045 (0.007, 0.082), p = 0.02]. Emotional exhaustion was significantly positive correlated with REM sleep and light average (Spearman’s rank correlation: 0.37 and 0.35, respectively, with P < 0.05).ConclusionThe data from this study show that healthcare practitioners who are with burnout and emotional exhaustion have an elevated cardiovascular risk, however, causality cannot be determined. As an adaptive response to stressful situations, REM sleep increases. The findings of this study may be relevant in creating preventive strategies for burnout and cardiovascular risk reduction or prevention.Clinical Trial Registration[www.ClinicalTrials.gov], identifier [NCT04422418].

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Section: Discussionmentioning

confidence: 99%

Burnout and Cardiovascular Risk in Healthcare Professionals During the COVID-19 Pandemic

et al. 2022

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“…Both PA and sleep are related to each other. Wearable technology is currently being used to track PA and sleep, which could help researchers study sleep science in-depth, resulting in the better diagnosis of sleep-related disorders [ 84 ]. Sathyanarayana et al demonstrated that deep learning can be used to predict sleep quality (whether it was good or poor) by making use of an actigraph obtained from the waking hours of an individual [ 85 ].…”

Section: Wearables As Digital Diagnosticsmentioning

confidence: 99%

Smart Consumer Wearables as Digital Diagnostic Tools: A Review

Chakrabarti¹,

Biswas²,

Jones³

et al. 2022

Diagnostics

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The increasing usage of smart wearable devices has made an impact not only on the lifestyle of the users, but also on biological research and personalized healthcare services. These devices, which carry different types of sensors, have emerged as personalized digital diagnostic tools. Data from such devices have enabled the prediction and detection of various physiological as well as psychological conditions and diseases. In this review, we have focused on the diagnostic applications of wrist-worn wearables to detect multiple diseases such as cardiovascular diseases, neurological disorders, fatty liver diseases, and metabolic disorders, including diabetes, sleep quality, and psychological illnesses. The fruitful usage of wearables requires fast and insightful data analysis, which is feasible through machine learning. In this review, we have also discussed various machine-learning applications and outcomes for wearable data analyses. Finally, we have discussed the current challenges with wearable usage and data, and the future perspectives of wearable devices as diagnostic tools for research and personalized healthcare domains.

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“…To ensure an effective identification of the most crucial parameters, work should be put into developing user interfaces that offer users a variety of pertinent information and can be easily adopted without requiring programming knowledge and skills. There are some excellent review articles that have discussed the properties and sensing mechanism of commercially available wearable healthcare devices [ 20 , 21 , 22 , 23 ].…”

Section: Healthcare Wearablesmentioning

confidence: 99%

Applications of Smart Material Sensors and Soft Electronics in Healthcare Wearables for Better User Compliance

et al. 2022

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The need for innovation in the healthcare sector is essential to meet the demand of a rapidly growing population and the advent of progressive chronic ailments. Over the last decade, real-time monitoring of health conditions has been prioritized for accurate clinical diagnosis and access to accelerated treatment options. Therefore, the demand for wearable biosensing modules for preventive and monitoring purposes has been increasing over the last decade. Application of machine learning, big data analysis, neural networks, and artificial intelligence for precision and various power-saving approaches are used to increase the reliability and acceptance of smart wearables. However, user compliance and ergonomics are key areas that need focus to make the wearables mainstream. Much can be achieved through the incorporation of smart materials and soft electronics. Though skin-friendly wearable devices have been highlighted recently for their multifunctional abilities, a detailed discussion on the integration of smart materials for higher user compliance is still missing. In this review, we have discussed the principles and applications of sustainable smart material sensors and soft electronics for better ergonomics and increased user compliance in various healthcare devices. Moreover, the importance of nanomaterials and nanotechnology is discussed in the development of smart wearables.

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Deconstructing Commercial Wearable Technology: Contributions toward Accurate and Free-Living Monitoring of Sleep

Cited by 31 publications

References 99 publications

Burnout and Cardiovascular Risk in Healthcare Professionals During the COVID-19 Pandemic

Burnout and Cardiovascular Risk in Healthcare Professionals During the COVID-19 Pandemic

Smart Consumer Wearables as Digital Diagnostic Tools: A Review

Applications of Smart Material Sensors and Soft Electronics in Healthcare Wearables for Better User Compliance

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