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Journal articles on the topic 'Best garmin smart watches'

Author: Grafiati

Published: 25 July 2024

Last updated: 31 July 2025

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1

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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Linegar, Dale. "Blueroom and Mixed Reality." Pacific Journal of Technology Enhanced Learning 7, no. 2 (2025): 48. https://doi.org/10.24135/pjtel.v7i2.236.

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(Trendsetter Presentation) BlueRoom is a mixed reality simulator which has been developed for practising fine motor skills with real tools and equipment in a virtual environment. Initially developed for medical training on board aircraft, it has since expanded to a wider range of training scenarios including civilian medical training, tactical combat casualty care, aircraft vectoring and even musical performance. BlueRoom utilises the Varjo headset and high performance computers within a blue structure, allowing for real time chromakeying and a training experience which surpasses the fidelity

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C, Vijesh Joe, and Jennifer S. Raj. "Location-based Orientation Context Dependent Recommender System for Users." March 2021 3, no. 1 (2021): 14–23. http://dx.doi.org/10.36548/jtcsst.2021.1.002.

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As the technology revolving around IoT sensors develops in a rapid manner, the subsequent social networks that are essential for the growth of the system will be utilized as a means to filter the objects that are preferred by the consumers. The ultimate purpose of the system is to give the customers personalized recommendations based on their preference. Similarly, the location and orientation will also play a crucial role in identifying the preference of the customer is a more efficient manner. Almost all social networks make use of location information to provide better services to the users

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Sriram, Arram, G. Sekhar Reddy, G. L. Anand Babu, et al. "A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach." Evidence-Based Complementary and Alternative Medicine 2022 (June 24, 2022): 1–6. http://dx.doi.org/10.1155/2022/2056807.

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The Internet of Medical Things (IoMT) is a huge, exciting new phenomenon that is changing the world of technology and innovating various industries, including healthcare. It has specific applications and changes in the medical world based on what can be done for clinical workflow models. The first and most fundamental thing that IoMT does in healthcare is to bring a flood of new data into medical processes. In this study, an efficient Internet of Medical Things based cancer detection model was proposed. In fact, for many, new fitness monitors and watches are one of the best examples on the Int

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Shukri, Sarah E., Rizik Al-Sayyed, Hamed Al-Bdour, Esraa Alhenawi, Tamara Almarabeh, and Hiba Mohammad. "Internet of Things: Underwater routing based on user’s health status for smart diving." International Journal of Data and Network Science 7, no. 4 (2023): 1715–28. http://dx.doi.org/10.5267/j.ijdns.2023.7.019.

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Technological advancements affect everyday life; they benefited our daily routines, habits, and activities. Underwater diving is one of the most interesting and attractive activities for tourists worldwide but could be risky and challenging. When paths are not clear, diving might take additional time and effort leading to some health problems. Thus, providing divers with proper direction information to surf underwater can be useful and helpful. Also, monitoring diverse health statuses and alerting them in case of any undesirable condition can increase their safety. Smart devices such as mobile

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Alekhya, B. "Design and Development of Wearable Antenna: A Literature review." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 2124–27. http://dx.doi.org/10.22214/ijraset.2022.44247.

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Abstract: Wearable electronics and its related technologie’s demand is growing tremendously in recent years .The major developments that accelerated this growth are decrement in the size of wireless devices, advancement of high-speed wireless networks, accessibility of ultra-compact, evolving battery technologies. Most of the Wearable electronic devices for example smart watches, wristbands, rings etc; we use various types of antennas to sense, fetch, and exchange data wirelessly. As one of the best antennas in many terms like compact size, flexibility and easy design is the micrpstrip patch a

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Khwaounjoo, Prashanna, Gurleen Singh, Sophie Grenfell, et al. "Non-Contact Hand Movement Analysis for Optimal Configuration of Smart Sensors to Capture Parkinson’s Disease Hand Tremor." Sensors 22, no. 12 (2022): 4613. http://dx.doi.org/10.3390/s22124613.

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Parkinson’s disease affects millions worldwide with a large rise in expected burden over the coming decades. More easily accessible tools and techniques to diagnose and monitor Parkinson’s disease can improve the quality of life of patients. With the advent of new wearable technologies such as smart rings and watches, this is within reach. However, it is unclear what method for these new technologies may provide the best opportunity to capture the patient-specific severity. This study investigates which locations on the hand can be used to capture and monitor maximal movement/tremor severity.

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Shim, Dongsub, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, and Jongseong Jang. "Online Class-Incremental Continual Learning with Adversarial Shapley Value." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (2021): 9630–38. http://dx.doi.org/10.1609/aaai.v35i11.17159.

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As image-based deep learning becomes pervasive on every device, from cell phones to smart watches, there is a growing need to develop methods that continually learn from data while minimizing memory footprint and power consumption. While memory replay techniques have shown exceptional promise for this task of continual learning, the best method for selecting which buffered images to replay is still an open question. In this paper, we specifically focus on the online class-incremental setting where a model needs to learn new classes continually from an online data stream. To this end, we contri

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Johnson, Elizabeth A., and Jane M. Carrington. "Cyber-Situational Awarenss in Clinical Trials Using Wearable Device Technology." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 10, no. 1 (2021): 33–36. http://dx.doi.org/10.1177/2327857921101011.

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It is estimated 1 in 3 clinical trials utilize a wearable device to gather real-time participant data, including sleep habits, telemetry, and physical activity. While wearable technologies (including smart watches, USBs, and implantable devices) have been revolutionary in their ability to provide a higher precision and accuracy to data acquisition external to the research milieu, there is hesitancy among providers and participants alike given security concerns, perception of cyber-related threats, and meaning attributed to privacy issues. The purpose of this research is to define cyber-situati

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Kobra, Khadiza Tul, Sheikh Sadi Bandan, MD Samiul Islam Sabbir, and Md Sharuf Hossain. "Enhancing Human Activity Recognition with Advanced Machine Learning Techniques." International Journal of Research and Innovation in Applied Science IX, no. VIII (2024): 316–22. http://dx.doi.org/10.51584/ijrias.2024.908029.

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One of the most popular computer research methodologies is human activity recognition, which finds application in a wide range of fields including education, gaming and amusement, healthcare, security and visual surveillance, patient rehabilitation, and human-computer interaction. Human activity identification has gained significant attention in the last ten years due to the growing usage of electronic devices to monitor human activity, including smartphones, smart watches, fitness trackers, video cameras, and ad hoc replaceable devices. A machine learning technique uses data from three axial

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Simon, Katharine, Katherine A. Duggan, Jayla Harris, et al. "0180 Sleep Duration and Hippocampal-Dependent Memory Trajectories Shaped by Early Subclinical Depressive Symptoms in Pre-Adolescents." SLEEP 48, Supplement_1 (2025): A81. https://doi.org/10.1093/sleep/zsaf090.0180.

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Abstract Introduction Preadolescence is a vulnerable time for the onset of depressive symptoms and early depressive symptoms confer a heightened risk for long-term depression. The adolescent transition period is also marked by dynamic shifts in sleep patterns that manifest as delayed and variable bedtimes, increased sleep onset latency, and reduced homeostatic sleep pressure. Sleep supports cognition and mood, with impairment reported with insufficient sleep (e.g., short sleep duration, variable timing). However, less is understood about the impact on hippocampal dependent memory of poor sleep

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Blasco, Jorge, and Pedro Peris-Lopez. "On the Feasibility of Low-Cost Wearable Sensors for Multi-Modal Biometric Verification." Sensors 18, no. 9 (2018): 2782. http://dx.doi.org/10.3390/s18092782.

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Biometric systems designed on wearable technology have substantial differences from traditional biometric systems. Due to their wearable nature, they generally capture noisier signals and can only be trained with signals belonging to the device user (biometric verification). In this article, we assess the feasibility of using low-cost wearable sensors—photoplethysmogram (PPG), electrocardiogram (ECG), accelerometer (ACC), and galvanic skin response (GSR)—for biometric verification. We present a prototype, built with low-cost wearable sensors, that was used to capture data from 25 subjects whil

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Shi, Wei, Meichen Duan, Hui He, et al. "Location Adaptive Motion Recognition Based on Wi-Fi Feature Enhancement." Applied Sciences 13, no. 3 (2023): 1320. http://dx.doi.org/10.3390/app13031320.

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Action recognition is essential in security monitoring, home care, and behavior analysis. Traditional solutions usually leverage particular devices, such as smart watches, infrared/visible cameras, etc. These methods may narrow the application areas due to the risk of privacy leakage, high equipment cost, and over/under-exposure. Using wireless signals for motion recognition can effectively avoid the above problems. However, the motion recognition technology based on Wi-Fi signals currently has some defects, such as low resolution caused by narrow signal bandwidth, poor environmental adaptabil

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Wittenberg, Th, R. Koch, N. Pfeiffer, et al. "Evaluation of HRV estimation algorithms from PPG data using neural networks." Current Directions in Biomedical Engineering 6, no. 3 (2020): 505–9. http://dx.doi.org/10.1515/cdbme-2020-3130.

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AbstractHeart rate variability (HRV) is a powerful measure to gain information on the activation of the central nervous system and is thus a strong indicator for the overall health and emotional state of a person. Currently, the gold standard for HRV analysis is the examination of R-peaks in electrocardiograms (ECG), which requires a placement of electrodes on the torso. This is often impracticable, especially for the use in daily routines or 24/7 measurements. Photoplethysmograms (PPG) are an alternative to ECG assessment and are easier to acquire, e.g. by using fitness trackers or smart watc

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Bychkov, Oleksii S., Oleksandr V. Gezerdava, Kseniia K. Dukhnovska, Oksana I. Kovtun, and Olga O. Leshchenko. "Fitness Tracker Data Analytics." Control Systems and Computers, no. 2 (306) (July 2024): 65–76. http://dx.doi.org/10.15407/csc.2024.02.065.

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The health status of patients is recorded in various sources, such as medical records, portable devices (smart watches, fitness trackers, etc.), forming a characteristic current health status of patients. The goal of the study was the development of medical card software for the analysis of data from fitness bracelets. This will provide an opportunity to collect data for further use of cluster analysis and improvement of the functionality and accuracy of medical monitoring. The object of the study is the use of linear regression to analyze and predict heart rate based on data collected using f

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Kumar Padhi, Prafulla. "Valuation and Inception of Ethical Fashion Smart Wearable Born-Global Speculative Start-up (BGSS)." International Journal of Community Development and Management Studies 1 (2017): 117–48. http://dx.doi.org/10.31355/17.

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NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose.............................................................................................................................................................................................. Since the valuation of a born-global speculative start-up (BGSS) has been a guessing game and there is no framework in the literature from ethical fashion smart wearable (EFSW) venture valuation perspective, this research explores to create a holistic model using multi-stage valuation method to valuate BGSS at its inception a

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Browne, Sarah, M.-Tahar Kechadi, Shane O'Donnell, et al. "Mobile Health Apps in Pediatric Obesity Treatment: Process Outcomes From a Feasibility Study of a Multicomponent Intervention." JMIR mHealth and uHealth 8, no. 7 (2020): e16925. http://dx.doi.org/10.2196/16925.

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Background Multicomponent family interventions underline current best practice in childhood obesity treatment. Mobile health (mHealth) adjuncts that address eating and physical activity behaviors have shown promise in clinical studies. Objective This study aimed to describe process methods for applying an mHealth intervention to reduce the rate of eating and monitor physical activity among children with obesity. Methods The study protocol was designed to incorporate 2 mHealth apps as an adjunct to usual care treatment for obesity. Children and adolescents (aged 9-16 years) with obesity (BMI ≥9

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Watts, Sophie P., Martyn J. Binnie, Paul SR Goods, Matthew M. Doyle, Jamie Hewlett, and Peter Peeling. "Garmin wearable device offers reliable alternative for on-water stroke rate and velocity measurement in rowing." Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, May 18, 2022, 175433712210993. http://dx.doi.org/10.1177/17543371221099364.

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Performance tracking devices in the form of wrist-worn watches are common in rowing; however, the accuracy of relevant output variables (i.e. stroke rate [SR] and velocity) during on-water training is unknown. To assess the quality of wrist-watch data output, 16 rowing athletes recorded 118 on-water rowing sessions using a Garmin Forerunner 735XT, which was compared to a Catapult Optimeye R4 tracking device. Garmin recording function was set to ‘Every Second’ ( N = 68 sessions) or ‘Smart’ ( N = 50 sessions). Catapult velocity was calculated as the average velocity per stroke, while a 15 s velo

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Kumar, Rohit, and Deeksha Gupta. "Strategic Shift at Titan Watches: Will it work?" Vision: The Journal of Business Perspective, November 26, 2022, 097226292211308. http://dx.doi.org/10.1177/09722629221130866.

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This case study analyses the dilemma and strategic decision choices faced by Titan Watches (TW) regarding its growth aspirations and competitive challenges in the Indian context. The case reflects in detail the global watch industry and the competitive landscape from the company’s standpoint and highlights the journey covering more than three decades of its history. The case analysis is conducted based on secondary data gathered from various sources. The period considered to study the company and its competitive landscape is over three decades, that is, from its inception in 1984 to 2020. The

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"Survey on Stress Detection Using Multiple Sensors through Wearable Devices." International Journal of Advanced Trends in Computer Science and Engineering 10, no. 2 (2021): 787–90. http://dx.doi.org/10.30534/ijatcse/2021/461022021.

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An Individual method of living on with a daily existence it directly influences on your overall health. Since stress is the significant infection of our human body. Like depression, heart attack and mental illness. WHO says “Globally, more than 264 million people of all ages suffer from depression.”[8]. Also the report says that most of the time people are stressed because of their work. 10.7% of People disorder with stress, anxiety and depression [8]. There are different method to discovering stress ex. Smart watches, chest belt, and extraordinary machine. Our principle objective is to figure

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Raji, Rafiu King, Jian Lin Han, Zixing Li, and Lihua Gong. "Review of development trends in smart shoe applications." Sensor Review, April 17, 2024. http://dx.doi.org/10.1108/sr-04-2023-0093.

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Purpose At the moment, in terms of both research and commercial products, smart shoe technology and applications seem not to attract the same magnitude of attention compared to smart garments and other smart wearables such as wrist watches and wrist bands. The purpose of this study is to fill this knowledge gap by discussing issues regarding smart shoe sensing technologies, smart shoe sensor placements, factors that affect sensor placements and finally the areas of smart shoe applications. Design/methodology/approach Through a review of relevant literature, this study first and foremost attemp

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Shilvinska, Olga, Nataliia Glygalo, and Viktor Zdir. "STATE AND PROSPECTS OF DEVELOPMENT OF PAYMENT BY PAYMENT CARDS IN UKRAINE." Pryazovskyi Economic Herald, no. 2(25) (2021). http://dx.doi.org/10.32840/2522-4263/2021-2-36.

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The article has considered the development trends and the current state of non-cash payments by payment cards in Ukraine. The system of non-cash payments plays an important role in the development of the national economy: it reduces the share of the economy shadow sector and the stability of money circulation, it develops the modern electronic technologies and increases activity of the population as a participant in the country's banking system. The article has analyzed the growth rate of the number of Internet users in Ukraine. It has also analyzed the number of transactions with plastic card

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Kamarudin, Nur Khairani, Ahmad Firdaus, Azlee Zabidi, Ferda Ernawan, Syifak Izhar Hisham, and Mohd Faizal Ab Razak. "Android malware detection using PMCC heatmap and Fuzzy Unordered Rule Induction Algorithm (FURIA)." Journal of Intelligent & Fuzzy Systems, November 10, 2022, 1–15. http://dx.doi.org/10.3233/jifs-222612.

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Many smart mobile devices, including smartphones, smart televisions, smart watches, and smart vacuums, have been powered by Android devices. Therefore, mobile devices have become the prime target for malware attacks due to their rapid development and utilization. Many security practitioners have adopted different approaches to detect malware. However, its attacks continuously evolve and spread, and the number of attacks is still increasing. Hence, it is important to detect Android malware since it could expose a great threat to the users. However, in machine learning intelligence detection, to

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Smyth, Barry, Aonghus Lawlor, Jakim Berndsen, and Ciara Feely. "Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners." User Modeling and User-Adapted Interaction, August 18, 2021. http://dx.doi.org/10.1007/s11257-021-09299-3.

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AbstractEvery year millions of people, from all walks of life, spend months training to run a traditional marathon. For some it is about becoming fit enough to complete the gruelling 26.2 mile (42.2 km) distance. For others, it is about improving their fitness, to achieve a new personal-best finish-time. In this paper, we argue that the complexities of training for a marathon, combined with the availability of real-time activity data, provide a unique and worthwhile opportunity for machine learning and for recommender systems techniques to support runners as they train, race, and recover. We p

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Stellingwerff, Trent, Louise M. Burke, Hannah G. Caldwell, et al. "Integrative Field-Based Health and Performance Research: A Narrative Review on Experimental Methods and Logistics to Conduct Competition and Training Camp Studies in Athletes." Sports Medicine, April 21, 2025. https://doi.org/10.1007/s40279-025-02227-0.

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Abstract Field-based sport research involves studies that collect data from athletes and/or teams during competition and/or their daily training environments. Over the last decade, sport-specific field-based research projects have significantly increased in number and complexity, partially owing to the further development of more portable measurement equipment (e.g., indirect calorimetry, desktop blood/gas analyzers, portable laboratories, etc.) and/or wearable or consumable technologies (e.g., smart watches, sensors, core temp pills, etc.). However, given these rapid advances and novelty, cha

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Soysal, A., E. Golcuk, A. Atici, et al. "Detection of supraventricular arrhythmias with apple watch." European Heart Journal 44, Supplement_2 (2023). http://dx.doi.org/10.1093/eurheartj/ehad655.2949.

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Abstract Introduction With the recent developments in wearable technology, detecting arrhythmias has become much easier. Although smartwatches are commonly used to detect patients with atrial fibrillation, there is no consensus on their efficiency in detecting supraventricular tachycardias (SVT). Methods & Results Electrophysiological procedures were performed on 47 patients that have been previously documented to have SVT by a 12-lead ECG. All patients had sinus rhythm before the procedure. A narrow complex SVT which patients had at least once was induced by electrophysiological methods.

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Gangas, Pilar, Elda Judica, Mayca Marin, et al. "PROCare4Life lessons learned." Open Research Europe, March 22, 2024. https://doi.org/10.12688/openreseurope.16304.2.

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PeRsOnalised Integrated CARE Solution for Elderly (PROCare4Life) was an EU-funded project that ran from January 2020 until June 2023, whose focus was to further develop and integrate previous ICT solutions developed by several previous EU-funded projects into a unique modular system able to support the autonomy and empowerment and to increase the Quality of Life (QoL) of elderly people living with Parkinson's, Alzheimer's, or similar dementia, having also tested the system for elderly people living with comorbidities. This article focuses on the methodology and results used to identify the int

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Fraim, John. "Friendly Persuasion." M/C Journal 3, no. 1 (2000). http://dx.doi.org/10.5204/mcj.1825.

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"If people don't trust their information, it's not much better than a Marxist-Leninist society." -- Orville Schell Dean, Graduate School of Journalism, UC Berkeley "Most people aren't very discerning. Maybe they need good financial information, but I don't think people know what good information is when you get into culture, society, and politics." -- Steven Brill,Chairman and Editor-in-chief, Brill's Content Once upon a time, not very long ago, advertisements were easy to recognise. They had simple personalities with goals not much more complicated than selling you a bar of soap or a box of c

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Bhatjire, Shruti, and mam Venera. "Research methods and methodology." April 26, 2025. https://doi.org/10.5281/zenodo.15285522.

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Research methods and methodology By Shruti Bhatjire Under the Guidance of Venera mam Abstract Research is all about figuring things out in a structured way to learn something new, whether you’re studying biology, business, or human behavior. This guide is your go-to for understanding research methods—the hands-on tools you use to gather and make sense of data—and research methodology—the big-picture thinking behind why you’re doing it that way. We’ll break down how methodology is like the “why” (the strategy) and methods are the “how”

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