1209 Effect Of Wearables On Sleep In Healthy Individuals: A Randomized Cross-over Trial And Validation Study

Berryhill, Sarah; Morton, Christopher J; Dean, A; Berryhill, Adam; Provencio-Dean, Natalie; Patel, Sarah; Estep, Lauren; Combs, Daniel; Mashaqi, Saif; Gerald, Lynn B.; Krishnan, Jerry A.; Parthasarathy, Sairam

doi:10.1093/sleep/zsaa056.1203

Cited by 4 publications

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“…Supplementing the raw measurement data with other data makes the measurement, which is usually interpreted as a number, much more usable, but when supplemented with other data, the measurement result can be interpreted in context. [15]…”

Section: Smart Ecosystemsmentioning

confidence: 99%

Using smart ecosystems against pandemics

Pentek

Adamkó

2022

Preprint

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In the recent decade, increasingly many technological innovations have been incorporated into smart city architectures. The modern lifestyle requires people to have at least one fitness tracker or another wearable device in most households. Usually, devices are equipped with more biosensors thus producing valuable time series that can be used to track the desired areas. The use of bio-sensory time series is not limited to private purposes only, data can be used to improve services in everyday life. The data generated by bio-sensory devices primarily infiltrate smart home solutions. However, the extended smart home solutions give the opportunity to improve smart city solutions as well. The consecutive change in the subject technologies that form the smart city and smart home architectures, as well as the sensitivity of data from confidential sources, is the key factor. The vendors must keep up with the continuous change. This research will demonstrate results that can make the services of smart ecosystems more valuable by using bio-sensory data. Based on the presented research results, smart ecosystems can act much more effectively against an epidemic or a pandemic. The research paper focuses on how bio-sensory time series data can be collected and used, how the data can be integrated into smart ecosystems, and how it can be integrated into smart healthcare solutions.

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Section: Smart Ecosystemsmentioning

confidence: 99%

Using smart ecosystems against pandemics

Pentek

Adamkó

2022

Preprint

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“…Smart watch that periodically sends biometric information such as body temperature and pulse rate to the center. Workplace level contact tracing wearable[ 16 ] …”

Section: Related Workmentioning

confidence: 99%

“…The wearable device has been adopted as an ideal means in the healthcare field due to its excellent ability to monitor the user’s stress level and physical fitness [ 14 ]. These include a smart watch[ 15 ] that periodically sends biometric information to the manager, a Bluetooth location beacons[ 16 ] that tracks the user’s location and contact, and a telemedicine[ 17 , 18 ] that allows clinicians to evaluate patient remotely. This wearable is characterized by being connected to an individual smartphone and periodically transmitting data by accessing the Internet.…”

Section: Introductionmentioning

confidence: 99%

Convergence model of AI and IoT for virus disease control system

Sim

Cho

2021

Pers Ubiquit Comput

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Recently, virus diseases, such as SARS-CoV, MERS-CoV, and COVID-19, continue to emerge and pose a severe public health problem. These diseases threaten the lives of many people and cause serious social and economic losses. Recent developments in information technology (IT) and connectivity have led to the emergence of Internet of Things (IoT) and Artificial Intelligence (AI) applications in many industries. These industries, where IoT and AI together are making significant impacts, are the healthcare and the diagnosis department. In addition, by actively communicating with smart devices and various biometric sensors, it is expanding its application fields to telemedicine, healthcare, and disease prevention. Even though existing IoT and AI technologies can enhance disease detection, monitoring, and quarantine, their impact is very limited because they are not integrated or applied rapidly to the emergence of a sudden epidemic. Especially in the situation where infectious diseases are rapidly spreading, the conventional methods fail to prevent large-scale infections and block global spreads through prediction, resulting in great loss of lives. Therefore, in this paper, various sources of infection information with local limitations are collected through virus disease information collector, and AI analysis and severity matching are performed through AI broker. Finally, through the Integrated Disease Control Center, risk alerts are issued, proliferation block letters are sent, and post-response services are provided quickly. Suppose we further develop the proposed integrated virus disease control model. In that case, it will be possible to proactively detect and warn of risk factors in response to infectious diseases that are rapidly spreading worldwide and strengthen measures to prevent spreading of infection in no time.

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“…[ 37 ] On the other hand, a particular wearable was studied in a clinical research that includes 32 participants and reported to be beneficial to improve the perceived sleep quality. [ 38 ] Although the factors such as feel and form factor greatly affects the user adoption of the wearables, these results points out that the clinical acceptance of a wearable strictly depends on its simultaneous accuracy on multiple patients. [ 39 ]…”

Section: Ppg and Optoelectronic Wearablesmentioning

confidence: 99%

Seamlessly Integrable Optoelectronics for Clinical Grade Wearables

Polat

2021

Adv Materials Technologies

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Health and fitness wearables present viable solutions for public wellbeing by providing remote personal control and clinical intervention through telemedicine networks. Due to their noninvasive and continuous vital sign monitoring, optoelectronic wearables are incorporated in number of studies to identify the onset and progression of the Coronavirus pandemic, and institutions deployed patient surveillance networks based on them. Today's optoelectronic wearables rely on rigid light emitting and sensing technologies that are vulnerable to motion artifacts due to discontinuous skin contact. However, wearable‐based digital health systems require the extraction of clinical grade data for the actionable outcomes. Therefore, optoelectronic technologies that provide clinical grade data through seamless skin integration are in high demand. The seamlessly integrable optoelectronic technologies for wearable based digital health solutions are discussed here. The review of highlighted wearable optoelectronic materials and technologies provides a benchmark, therefore helps to define pathways through the realization of clinical grade wearables rising as strong contenders for the public health strategies.

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1209 Effect Of Wearables On Sleep In Healthy Individuals: A Randomized Cross-over Trial And Validation Study

Cited by 4 publications

References 0 publications

Using smart ecosystems against pandemics

Using smart ecosystems against pandemics

Convergence model of AI and IoT for virus disease control system

Seamlessly Integrable Optoelectronics for Clinical Grade Wearables

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