Binned Data Provide Better Imputation of Missing Time Series Data from Wearables

Sensors, Год журнала: 2023, Номер 23(3), С. 1454 - 1454

Опубликована: Янв. 28, 2023

The presence of missing values in a time-series dataset is very common and well-known problem. Various statistical machine learning methods have been developed to overcome this problem, with the aim filling data. However, performances these vary widely, showing high dependence on type data correlations within In our study, we performed some imputation methods, such as expectation maximization, k-nearest neighbor, iterative imputer, random forest, simple impute obtained from smart, wearable health trackers. manuscript, proposed use binning for imputation. We showed that binned around time interval provides better than whole dataset. Imputation was 15 min 1 h continuous used different bin sizes, min, 30 45 h, carried out evaluations using root mean square error (RMSE) values. observed maximization algorithm worked best This followed by whereas forest method had no effect during Moreover, smallest sizes were provide lowest RMSE majority frames data, respectively. Although applicable digital think will also find applicability other domains.

Язык: Английский

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Strengthening primary health care in Europe with digital solutions

Atención Primaria, Год журнала: 2024, Номер 56(10), С. 102904 - 102904

Опубликована: Апрель 30, 2024

This article provides an in-depth analysis of digital transformation in European primary healthcare (PHC). It assesses the impact technology on delivery and management, highlighting variations maturity across Europe. emphasizes significance tools, especially during COVID-19 pandemic, enhancing accessibility efficiency healthcare. discusses integration telehealth, remote monitoring, e-health solutions, showcasing their role patient empowerment proactive care. Examples are included from various countries, such as Greece's ePrescription system, Lithuania's adoption consultations, Spain's use risk stratification Netherlands' advanced telemonitoring to illustrate diverse implementation solutions PHC. The offers insights into challenges opportunities embedding technologies a multidisciplinary framework, pointing towards future directions for PHC

Язык: Английский

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The role of wrist-worn technology in the management of Parkinson’s disease in daily life: A narrative review

Frontiers in Neuroinformatics, Год журнала: 2023, Номер 17

Опубликована: Апрель 12, 2023

Parkinson’s disease (PD) is a neurodegenerative disorder that affects millions of people worldwide. Its slow and heterogeneous progression over time makes timely diagnosis challenging. Wrist-worn digital devices, particularly smartwatches, are currently the most popular tools in PD research field due to their convenience for long-term daily life monitoring. While wrist-worn sensing devices have garnered significant interest, value practice still unclear. In this narrative review, we survey demographic, clinical technological information from 39 articles across four public databases. technology mainly monitors motor symptoms sleep disorders patients life. We find accelerometers commonly used sensors measure movement living with PD. There few studies on monitoring compared symptom classification. conclude might be useful assist management through an automatic assessment based patient-provided information.

Язык: Английский

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Digital social innovation based on Big Data Analytics for health and well-being of society

Journal Of Big Data, Год журнала: 2023, Номер 10(1)

Опубликована: Ноя. 15, 2023

Abstract Background Any nation's health policy aims to properly care for its citizens and the society's quality of life. Since in healthcare system, population's is essential component national wealth, treated as a public good social value. Therefore, recent times, addition traditional instruments promoting healthy lifestyles, has increasingly turned information digital technologies. Aims The paper recognize role Big Data Analytics (BDA) developing Digital Social Innovation (DSI) field. proposal author's Individual Health Plan Platform (IHPP) solution presented an example Innovation. Material methods research based on critical analysis literature, followed by Focus Group study aimed at determining potential Analytics, including especially data from wearables, help manage one's improve well-being. focus also included verification model article evaluation proposed solution, Platform, possibilities implementation complement provided medical facilities Poland. Results results group interviews show that analysing wearables IHPP could be helpful managing own helping level important problems healthcare. Conclusion One goals this was determine BDAs development innovations From discussion, it concluded develop innovation

Язык: Английский

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The use of commercial wrist-worn technology to track physiological outcomes in behavioral interventions

Current Opinion in Clinical Nutrition & Metabolic Care, Год журнала: 2023, Номер 26(6), С. 534 - 540

Опубликована: Июль 26, 2023

Purpose of review The aim this is to provide an overview the use commercial wrist-worn mobile health devices track and monitor physiological outcomes in behavioral interventions as well discuss considerations for selecting optimal device. Recent findings Wearable technology can enhance intervention design implementation. wearables provides opportunity tracking outcomes, thus providing a unique approach assessment delivery remote interventions. support utility, acceptability, benefits interventions, they be used continuously remotely administer assessments, adherence, personalize Wrist-worn show acceptable accuracy when measuring heart rate, blood pressure, step counts, physical activity; however, dependent on activity type, intensity, device brand. These factors should considered designing that utilize wearable technology. Summary With continuous advancement frequent product upgrades, capabilities will continue expand, increasing their potential research. Continued research needed examine validate most recent market better inform

Язык: Английский

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Usability Evaluation of Wearables and their Companion mHealth Applications – Attributes, Methods, and Frameworks: A Scoping Review (Preprint)

JMIR mhealth and uhealth, Год журнала: 2024, Номер 12, С. e52179 - e52179

Опубликована: Фев. 1, 2024

Wearable devices, mobile technologies, and their combination have been accepted into clinical use to better assess the physical fitness quality of life patients as preventive measures. Usability is pivotal for overcoming constraints gaining users' acceptance technology such wearables companion health (mHealth) apps. However, owing limitations in design evaluation, interactive mHealth apps often restricted from full potential.

Язык: Английский

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SleepSmart: an IoT-enabled continual learning algorithm for intelligent sleep enhancement

Neural Computing and Applications, Год журнала: 2023, Номер 36(8), С. 4293 - 4309

Опубликована: Дек. 11, 2023

Abstract Sleep is an essential physiological process that crucial for human health and well-being. However, with the rise of technology increasing work demands, people are experiencing more disrupted sleep patterns. Poor quality quantity can lead to a wide range negative outcomes, including obesity, diabetes, cardiovascular disease. This research paper proposes smart sleeping enhancement system, named SleepSmart, based on Internet Things (IoT) continual learning using bio-signals. The proposed system utilizes wearable biosensors collect data during sleep, which then processed analyzed by IoT platform provide personalized recommendations optimization. Continual techniques employed improve accuracy system's over time. A pilot study subjects was conducted evaluate performance, results show SleepSmart significantly reduce disturbance. has potential practical solution sleep-related issues enhance overall With prevalence problems, be effective tool individuals monitor their quality.

Язык: Английский

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Perspective: Challenges and Future Directions in Clinical Research with Nuts and Berries

Advances in Nutrition, Год журнала: 2023, Номер 14(5), С. 1005 - 1028

Опубликована: Авг. 2, 2023

Consumption of nuts and berries are considered part a healthy eating pattern. Nuts contain complex nutrient profile consisting essential vitamins minerals, fiber, polyunsaturated fatty acids, phenolics in quantities that improve physiological outcomes. The spectrum health outcomes may be impacted by the consumptions includes cardiovascular, gut microbiome, cognitive, among others. Recently, new insights regarding bioactive compounds found both have reinforced their role for use precision nutrition efforts. However, challenges exist can affect generalizability from clinical studies, including inconsistency study designs, homogeneity test populations, variability products control foods, assessing realistic portion sizes. Future research centered on multi-omics technologies will yield insights. These other topics such as funding streams perceived risk-of-bias were explored at an international conference focused nutrition. Successes, challenges, future directions with these foods presented here.

Язык: Английский

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The Future of Stress Management: Integration Smartwatches and HRV Technology

Опубликована: Июль 25, 2023

In the modern world, stress has become a pervasive concern that affects individuals' physical and mental well-being. To address this issue, many wearable devices have emerged as potential tools for detection management, by measuring heart rate, rate variability (HRV), various matrices related to it. This literature review aims provide comprehensive analysis of existing research on HRV tracking Biofeedback using smartwatches finger monitor/sensor pairing with reliable 3rd party mobile apps like Elite HRV, Welltory, HRV4Training specifically designed management. we apply algorithms methodologies employed is discussed, including time-domain, frequency-domain, non-linear techniques. Prominent smartwatches, such Apple Watch, Garmin, Fitbit, Polar, Samsung Galaxy are evaluated based their measurement accuracy, data quality, sensor technology, integration management features. We describe efficacy in providing real-time feedback, personalized interventions, promoting overall assist researchers, doctors, developers use smartwatch technology promote holistic well-being, discuss data's advantages limitations, future developments, significance user-centered design interventions. Keywords: smartwatch; stress; device; variability; comparative

Язык: Английский

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Unmasking the Movements

Advances in medical technologies and clinical practice book series, Год журнала: 2024, Номер unknown, С. 70 - 92

Опубликована: Фев. 8, 2024

Wearable technology, especially for neurodegenerative disorders like Parkinson's disease, has been crucial in enabling remote monitoring and accurate, prompt disease management. sensors, such as gyroscopes, accelerometers, inertial provide accurate continuous symptom monitoring, customised treatment plans interventions. Sensors these offer unbiased information on motor symptoms tremors, bradykinesia, abnormal gait patterns, balance problems. With the use of this information, medical professionals may adapt physical therapy, optimise medication regimes, quickly manage fall risk. sensors also keep track non-motor including sleep autonomic dysfunction, allowing early intervention all-encompassing treatment. The real-time gathered by wearable improves patient, carer, professional communication collaboration.

Язык: Английский

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