Academic literature on the topic 'Best garmin smart watches'

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Journal articles on the topic "Best garmin smart watches"

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Kay, Shayna, Chimaobi Oyiliagu, and Amena Ali. "388 Prototyping a mobile phone application for Chimeric Antigen Receptor (CAR) T-cell therapy patient monitoring and data collection post-discharge." Journal of Clinical and Translational Science 8, s1 (2024): 115–16. http://dx.doi.org/10.1017/cts.2024.339.

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OBJECTIVES/GOALS: Research objectives include prototyping a mobile phone application that allows physicians to monitor CD19-directed CAR T-cell therapy patients remotely after discharge. This app will also enable standardized data collection across different centers that provide CAR-T cell therapy and allow for the harmonization of follow-up protocols. METHODS/STUDY POPULATION: Literature review and semi-structured interviews with patients, clinical coordinators, and other experts in the field will be used to determine what parameters must be included in the mobile application prototype to eff
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Snyder, Nikolas C., Courtney A. Willoughby, and Bryan K. Smith. "Accuracy of Garmin and Polar Smart Watches to Predict VO2max." Medicine & Science in Sports & Exercise 49, no. 5S (2017): 761. http://dx.doi.org/10.1249/01.mss.0000519024.10358.0b.

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Hedayatnia, Mostafa. "Smart Materials for Silent Alarms." Mechanical Engineering 120, no. 02 (1998): 88–89. http://dx.doi.org/10.1115/1.1998-feb-7.

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This article discusses the recent demand for silent alarms. If the device is kept close to a user’s body, such as on her\his wrist or in a back pocket, vibration is well suited for this type of alarm. The technology has been used for sometime in pagers, for example, and the field could someday be expanded to watches and a variety of medical equipment. The most common form of vibrating alert involves a motor that rotates an eccentric weight in an electromagnetic field. However, the smallest of these motors is still too large to fit in watches and other consumer products. Piezoceramic materials
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Tanwar, Gatha, Ritu Chauhan, Madhusudan Singh, and Dhananjay Singh. "Pre-Emption of Affliction Severity Using HRV Measurements from a Smart Wearable; Case-Study on SARS-Cov-2 Symptoms." Sensors 20, no. 24 (2020): 7068. http://dx.doi.org/10.3390/s20247068.

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Smart wristbands and watches have become an important accessory to fitness, but their application to healthcare is still in a fledgling state. Their long-term wear facilitates extensive data collection and evolving sensitivity of smart wristbands allows them to read various body vitals. In this paper, we hypothesized the use of heart rate variability (HRV) measurements to drive an algorithm that can pre-empt the onset or worsening of an affliction. Due to its significance during the time of the study, SARS-Cov-2 was taken as the case study, and a hidden Markov model (HMM) was trained over its
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Kabaya, Sonoko, Chieko Greiner, Yuko Yamaguchi, and Masahide Nakamura. "EXPLORATION OF VARIABILITY IN STRESS AND SLEEP QUALITY IN OLDER PEOPLE WITH MILD COGNITIVE IMPAIRMENT." Innovation in Aging 8, Supplement_1 (2024): 1241. https://doi.org/10.1093/geroni/igae098.3970.

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Abstract Mild cognitive impairment (MCI) is common, affecting 10%-35% of people over 65, since medical technology has advanced. Previous studies have reported that stress in older people with MCI exacerbates cognitive decline and can lead to daily depressive affect contagion between family caregivers (FCs) caring for older people with MCI. They have also indicated that stress adversely affects sleep quality and duration among older people with MCI. However, it is not clear how stress and sleep quality in older people with MCI fluctuate within a day especially throughout night. The aim of this
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Chang, Ray-I., Tzu-Chieh Lin, and Jeng-Wei Lin. "A Vehicle Passive Entry Passive Start System with the Intelligent Internet of Things." Electronics 13, no. 13 (2024): 2506. http://dx.doi.org/10.3390/electronics13132506.

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With the development of sensor and communication technologies, the Internet of Things (IoT) subsystem is gradually becoming a crucial part in vehicles. It can effectively enhance functionalities of vehicles. However, new attack types are also emerging. For example, a driver with the smart key in their pocket can push the start button to start a car. At the same time, security issues in the push-to-start scenario are pervasive, such as smart key forgery. In this study, we propose a vehicle Passive Entry Passive Start (PEPS) system that adopts deep learning algorithms to recognize the driver usi
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Kabaya, Sonoko, Chieko Greiner, Masahide Nakamura, Yuko Yamaguchi, and Hirochika Ryuno. "EXPLORATION OF STRESS FLUCTUATIONS IN FAMILY CAREGIVERS OF OLDER PEOPLE WITH MILD COGNITIVE IMPAIRMENT." Innovation in Aging 7, Supplement_1 (2023): 1035–36. http://dx.doi.org/10.1093/geroni/igad104.3328.

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Abstract Mild cognitive impairment (MCI) is common, affecting 10%-35% of people over 65, and around two-thirds overall develop dementia over their lifetime. Previous studies have reported that family caregivers (FCs) caring for older people with MCI experience considerable burden, which tends to cause various neuropsychiatric symptoms, such as depression, apathy, and irritability. However, it is not clear how FCs’ stress, which leads to increased burden, fluctuates within a day through their daily activities. The aim of this study was to explore the characteristics of stress variability in FCs
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Bogár, Bence, Dániel Pető, Dávid Sipos, et al. "Detection of Arrhythmias Using Smartwatches—A Systematic Literature Review." Healthcare 12, no. 9 (2024): 892. http://dx.doi.org/10.3390/healthcare12090892.

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Smartwatches represent one of the most widely adopted technological innovations among wearable devices. Their evolution has equipped them with an increasing array of features, including the capability to record an electrocardiogram. This functionality allows users to detect potential arrhythmias, enabling prompt intervention or monitoring of existing arrhythmias, such as atrial fibrillation. In our research, we aimed to compile case reports, case series, and cohort studies from the Web of Science, PubMed, Scopus, and Embase databases published until 1 August 2023. The search employed keywords
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Sharma, Richa, Shalli Rani, and Deepali Gupta. "Stress Detection Using Machine Learning Classifiers in Internet of Things Environment." Journal of Computational and Theoretical Nanoscience 16, no. 10 (2019): 4214–19. http://dx.doi.org/10.1166/jctn.2019.8502.

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Over the years, Recommender systems have emerged as a means to provide relevant content to the users, be it in the field of entertainment, social-network, health, education, travel, food or tourism. Further,with the expeditious development of Big Data and Internet of Things (IoT), technology has successfully associated with our everyday life activities with smart healthcare being one. The global acceptance towards smart watches, wearable devices or wearable biosensors have paved the way for the evolution of novel applications for personalized eHealth and mHealth technologies. The data gathered
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Prof., Shilpa Das*1&Prof. Sabna M. 2*. "EDGE COMPUTING AND IOT BASED HEALTH CARE SYSTEMS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY NACETEC' 19 (April 11, 2019): 187–93. https://doi.org/10.5281/zenodo.2636930.

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As Internet of Things (IoT) devices become more common and edge computing applications expand to accommodate them, many industries are thinking of ways to make the best use of this technology. Health care systems stands immensely from the expand use of IoT devices and edge computing. The people in need of healthcare services find it very expensive this is particularly true in developing countries. With improvement in technology previously expensive hospital equipment has been redesigned using current technology. The main objective of the project was to design a patient health care monitoring s
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Books on the topic "Best garmin smart watches"

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Best garmin smart watches. Barcodeliveorg, 2023.

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Best Golf Smart Watches for Value. Barcodeliveorg, 2023.

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Best Smart Watches with Advanced Features. Barcodeliveorg, 2023.

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Best Smart Watches for Extreme Environments. Barcodeliveorg, 2023.

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Conference papers on the topic "Best garmin smart watches"

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HRIȚCU, Bogdan, Silvia Nicoleta MIRICA, Sara FARZAT, and Adrian NAGEL. "Influence of Different Types of Footwear on Sport Performance Characteristics, in Long Distance Running - Case Study." In International Conference of the Universitaria Consortium “Education for Health and Perfomance”. Presa Universitară Clujeană, 2023. https://doi.org/10.24193/icu2022.17.

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Over the past decade, long-distance running shoes have gone through a continuous process of technologization. By 2017, major footwear manufacturers were focused on making running shoes as light as possible, made of the thinnest material possible to maximize athletic performance. Since 2017, the sports equipment company, Nike, has been producing the Nike Vaporfly shoe, the first footwear model with a carbon plate in the sole. Currently, the most feasible way to break the 2-hour marathon barrier is to reduce the energy cost of running. Thus, improving the equipment used during running is importa
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Shejwal, Amogh, Ashutosh Srivastava, Sandeep Medikonda, and S. Babu Aminjikarai. "Reliability Analysis of Flexible PCBs." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-71540.

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Abstract Flexible Circuit Boards (FCB) are ubiquitous in most electronic devices used today. These are utilized in mobile phones, display cables in laptops, cameras, smart watches, robotic arms and more. They are mainly used in applications where space, flexibility and construction constraints limit the usage of conventional Printed Circuit Board (PCB). While FCBs offer numerous advantages over traditional PCBs, like enhanced reliability, capabilities, reduced weight, and lesser space utilization, on the other hand, they present different set of challenges like assembly, installation, and diff
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