Relevant bibliographies by topics / Wearable activity monitors

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Wearable activity monitors'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Wearable activity monitors"

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Lyons, Elizabeth J., and Maria C. Swartz. "MOTIVATIONAL DYNAMICS OF WEARABLE ACTIVITY MONITORS." ACSMʼs Health & Fitness Journal 21, no. 5 (2017): 21–26. http://dx.doi.org/10.1249/fit.0000000000000324.

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BUTTE, NANCY F., ULF EKELUND, and KLAAS R. WESTERTERP. "Assessing Physical Activity Using Wearable Monitors." Medicine & Science in Sports & Exercise 44 (January 2012): S5—S12. http://dx.doi.org/10.1249/mss.0b013e3182399c0e.

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Hyde, Eric T., John D. Omura, Janet E. Fulton, Andre Weldy, and Susan A. Carlson. "Physical Activity Surveillance Using Wearable Activity Monitors: Are US Adults Willing to Share Their Data?" American Journal of Health Promotion 34, no. 6 (2020): 672–76. http://dx.doi.org/10.1177/0890117119900587.

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Purpose: Wearable activity monitors (wearables) have generated interest for national physical activity (PA) surveillance; however, concerns exist related to estimates obtained from current users willing to share data. We examined how limiting data to current users who are willing to share data associated with PA estimates in a nationwide sample. Design: Cross-sectional web-based survey. Setting: US adults. Subjects: In total, 942 respondents. Measures: The 2018 Government & Academic Omnibus Survey assessing current wearable use, willingness to share data with various people or organization
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Wade, Jessica M., Kayla M. Kowalczyk, Victoria Lynch, Bianca De Lucia, Jonathan Hudak, and Alicja B. Stannard. "Tracking Calories: Validity Of Wearable Activity Monitors." Medicine & Science in Sports & Exercise 52, no. 7S (2020): 517. http://dx.doi.org/10.1249/01.mss.0000679784.35651.e9.

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FREEDSON, PATTY, HEATHER R. BOWLES, RICHARD TROIANO, and WILLIAM HASKELL. "Assessment of Physical Activity Using Wearable Monitors." Medicine & Science in Sports & Exercise 44 (January 2012): S1—S4. http://dx.doi.org/10.1249/mss.0b013e3182399b7e.

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HEIL, DANIEL P., SOREN BRAGE, and MEGAN P. ROTHNEY. "Modeling Physical Activity Outcomes from Wearable Monitors." Medicine & Science in Sports & Exercise 44 (January 2012): S50—S60. http://dx.doi.org/10.1249/mss.0b013e3182399dcc.

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Lim, Jolene Ziyuan, Alexiaa Sim, and Pui Wah Kong. "Wearable Technologies in Field Hockey Competitions: A Scoping Review." Sensors 21, no. 15 (2021): 5242. http://dx.doi.org/10.3390/s21155242.

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The aim of this review is to investigate the common wearable devices currently used in field hockey competitions, and to understand the hockey-specific parameters these devices measure. A systematic search was conducted by using three electronic databases and search terms that included field hockey, wearables, accelerometers, inertial sensors, global positioning system (GPS), heart rate monitors, load, performance analysis, player activity profiles, and competitions from the earliest record. The review included 39 studies that used wearable devices during competitions. GPS units were found to
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Beg, Muhammad S., Arjun Gupta, Tyler Stewart, and Chad D. Rethorst. "Promise of Wearable Physical Activity Monitors in Oncology Practice." Journal of Oncology Practice 13, no. 2 (2017): 82–89. http://dx.doi.org/10.1200/jop.2016.016857.

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Commercially available physical activity monitors provide clinicians an opportunity to obtain oncology patient health measures to an unprecedented degree. These devices can provide objective and quantifiable measures of physical activity, which are not subject to errors or bias of self-reporting or shorter duration of formal testing. Prior work on so-called quantified-self data was based on older-generation, research-grade accelerometers, which laid the foundation for consumer-based physical activity monitoring devices to be validated as a feasible and reliable tool in patients with cancer. Ph
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Han, Ho, Heontae Kim, Wei Sun, Mary Malaska, and Bridget Miller. "Validation of wearable activity monitors for real-time cadence." Journal of Sports Sciences 38, no. 4 (2019): 383–89. http://dx.doi.org/10.1080/02640414.2019.1702281.

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Jung, Sungmook, Jongsu Lee, Taeghwan Hyeon, Minbaek Lee, and Dae-Hyeong Kim. "Fabric-Based Integrated Energy Devices for Wearable Activity Monitors." Advanced Materials 26, no. 36 (2014): 6329–34. http://dx.doi.org/10.1002/adma.201402439.

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Dissertations / Theses on the topic "Wearable activity monitors"

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Chaudru, Ségolène. "Approche diagnostique et fonctionnelle dans l'artériopathie oblitérante des membres inférieurs : étude de l'apprentissage et de l'enseignement de l'index de pression systolique de repos chez des étudiants en médecine, et développement d'une méthode ambulatoire de quantification de la douleur ischémique à la marche par couplage de moniteurs portables." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1B035/document.

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L’Artériopathie Oblitérante des Membres Inférieurs (AOMI) est une pathologie chronique grave, induite par le processus physiopathologique d’athérosclérose. Diagnostiquée par la mesure de l’Index de Pression Systolique (IPS) de repos cette pathologie se traduit chez la plupart des patients par une ischémie (apports sanguins insuffisants) à l’exercice pouvant causer l’apparition de douleurs au niveau des membres inférieurs lors de la marche. Le premier axe de travail de cette thèse visait à évaluer la pertinence pédagogique des méthodes actuelles d’enseignement de l’IPS dans les facultés de méde
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Testa, Daniele. "KNEE MONITOR: Monitoring knee angles and physical activity in daily life using a dual-sensor wearable." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/19905/.

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Physical activity (PA) can be used as a parameter for the diagnosis, treatment or evaluation of the results of correct health care. The evaluation of physical activity becomes essential after a knee joint surgery as it provides clinicians and physiotherapists with essential information on the patient's motor health and on the effectiveness of rehabilitation. Although the gold standard for the evaluation of subject’s performance during PA is represented by measures taken in gait laboratories, or through force plates and electromyography, recent advances in wearable sensors, especially Inertial
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Newton, Andrew T. "Validity of a commercially-available, low-cost, wrist-mounted accelerometer in a laboratory and free-living environment." Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1477948523792512.

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Rowe, Justin Bradley. "Evaluating robotic assistance and developing a wearable hand activity monitor to improve upper extremity movement recovery after stroke." Thesis, University of California, Irvine, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3727453.

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<p> In their daily lives, stroke survivors must often choose between attempting upper-extremity activities using their impaired limb, or compensating with their less impaired limb. Choosing their impaired limb can be difficult and discouraging, but might elicit beneficial neuroplasticity that further reduces motor impairments, a phenomenon referred to as &ldquo;the virtuous cycle&rdquo;. In contrast, compensation is often quicker, easier, and more effective, but can reinforce maladaptive changes that limit motor recovery, a phenomenon referred to as &ldquo;learned non-use&rdquo;. This disserta
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Books on the topic "Wearable activity monitors"

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Lindberg, Casey M., Meredith A. Banasiak, Ryan M. Shindler, and Esther M. Sternberg. Place and Well-Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190241254.003.0007.

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Various fields of research have developed to better understand the health and behavioral effects of environmental characteristics such as air quality and the way our homes and neighborhoods are organized. A synergy of many previously disparate fields of research is underway, aided in part by recent advances in technology. Better sensors, including wearable physiological and environmental monitors, are enabling researchers to more readily study the interactions between environment characteristics and both mental and physical well-being. This new evidence-based research direction adds a much-nee
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Book chapters on the topic "Wearable activity monitors"

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Arvind, D. K., D. J. Fischer, C. A. Bates, and S. Kinra. "Characterisation of Breathing and Physical Activity Patterns in the General Population Using the Wearable Respeck Monitor." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34833-5_6.

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Kos, Marko, and Iztok Kramberger. "Smart Wearables for Tennis Game Performance Analysis." In Sports Science and Human Health - Different Approaches. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.89544.

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For monitoring the progress of athletes in various sports and disciplines, several different approaches are nowadays available. Recently, miniature wearables have gained popularity for this task due to being lightweight and typically cheaper than other approaches. They can be positioned on the athlete’s body, or in some cases, the devices are incorporated into sports requisites, like tennis racquet handles, balls, baseball bats, gloves, etc. Their purpose is to monitor the performance of an athlete by gathering essential information during match or training. In this chapter, the focus will be on the different possibilities of tennis game monitoring analysis. A miniature wearable device, which is worn on a player’s wrist during the activity, is going to be presented and described. The smart wearable device monitors athletes’ arm movements with sampling the output of the 6 DOF IMU. Parallel to that, it also gathers biometric information like pulse rate and skin temperature. All the collected information is stored locally on the device during the sports activity. Later, it can be downloaded to a PC and transferred to a cloud-based service, where visualization of the recorded data and more detailed game/training statistics can be performed.
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Stewart, Mary K., Danielle E. Hagood, and Cynthia Carter Ching. "Using Multi-Modal Data to Examine Equity in Activity-Monitor Gaming Within Real-World Communities." In Global Perspectives on Gameful and Playful Teaching and Learning. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2015-4.ch006.

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It is rare for research on augmented-reality games to examine equity and access as grounded in features of the actual neighborhoods where game play takes place, and in the affordances of communities and their built environments for gamified ambulatory physical activity in the real world. This chapter studies two diverse groups of middle-school youth, situated in urban and suburban areas, who wore activity monitors as they went through daily activities and played an online game that synced with their monitors. The game drew data from the wearable devices so that the more youth engaged in step-countable physical activity in the real world, the more game-world energy they earned. This chapter analyzes the actual communities where our participants' activity and game play was situated. The chapter lays out the multi-modal data sources in that analysis and provides some potential models that can be employed by others in related work. Finally, the chapter closes by articulating some directions and concerns for future research in a gamified physical world.
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Fletcher, Jared R., and Christy Tomkins-Lane. "Active Technology and Accessories." In Understanding the Active Economy and Emerging Research on the Value of Sports, Recreation, and Wellness. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7939-8.ch008.

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Active technology (i.e. ‘wearables' and accompanying health tracking apps) is a multi-billion-dollar industry. Nearly one in every 10 people worldwide generates physiological and biomechanical data from wearable devices every day. This data allows users to evaluate their performance over time, to share with friends, to find like-minded training partners and share this data with their primary healthcare providers. Population-based research related to health, wellness, and physical activity is now feasible as a result of data generated from wearables. This chapter will highlight the major current trends and future applications for wearable devices from a user and research-based perspective across the active economy. The authors aim to highlight the practical and clinical utility of wearables to monitor training, fatigue, and performance on the athletic field, the workplace, and the clinical environments. The goal is to improve health, mobility, and quality of life of the end-user.
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Smith, Norma. "Technology and Ethical Behavior in Running Sports." In Research Anthology on Business Strategies, Health Factors, and Ethical Implications in Sports and eSports. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7707-3.ch030.

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Wearable technologies' popularity in sporting practices continues to grow. Runners use GPS watches and activity trackers to track steps, log miles, map courses, and monitor heart rates. Likewise, wearables are integrated into long distance running events, with race officials relying on technologies to effectively execute events. However, technologies can also enable and monitor cheating. Many studies focusing on the individual explore why cheaters make unethical decisions. Actor-Network Theory shifts cheating's focus from the individual and moral failings to an assemblage that includes not only the runner, but nonhumans, such as technology, as well. A 2015 Canadian Ironman cheating incident case study illuminates intricate relationships and networks between humans and nonhumans. By examining the intersections of cheating and technology in running sports, the authors see where and how technology works as intended or is repurposed. Whereas a human-centered approach to sport and cheating dismisses wearables' agency, Actor-Network Theory reveals their underexamined, sociotechnical complexities.
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Watanabe, Daniel. "The ScavengAR Hunt." In Wearable Technology and Mobile Innovations for Next-Generation Education. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0069-8.ch012.

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This chapter explains the design and execution of a pre-service teacher training case study using Augmented Reality (AR), Quick Response (QR) codes, and social media mobile applications installed on iPads. The ScavengAR Hunt activity centered on a story narrative inspired by works of fine art using trigger images from the AR mobile application ARART® and incorporated elements of the board game Clue®. Pre-service teachers in the study were divided into groups of 4-6 and assigned specific, individual roles related to a mobile application used in the ScavengAR Hunt, and completed specific tasks while exploring the campus of a midwestern university. The research monitored the groups in real-time through reports submitted on Twitter and responses from QR code scans. The ScavengAR Hunt served as a model for designing a mobile learning activity incorporating multiple mobile applications.
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Schmitter-Edgecombe, Maureen, and Diane J. Cook. "Using Smart Environment Technologies to Monitor and Assess Everyday Functioning and Deliver Real-Time Intervention." In The Role of Technology in Clinical Neuropsychology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190234737.003.0017.

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Technology is changing healthcare and our understanding of human behavior. To date, most of our theories about behavior, everyday activities, and cognitive health have been formed based on questionnaire data, laboratory tests and experiments, and placing observers within the environment to record human behavioral habits. Smart technologies offer an opportunity to passively collect data about human behavior within the everyday environment. The possibilities for using smart technologies that can adapt, sense, infer, learn, anticipate, and intervene for health monitoring and intervention are considered “extraordinary” (Department of Health, 2007). Our Smart Home group affiliated with the Center for Advanced Studies in Adaptive Systems (CASAS) and others have been studying the role of smart environments as a type of “cognitive prosthesis” in which the smart environment operates alongside humans in order to monitor, maintain, and enhance their health and functional capabilities and overcome their limitations. For the clinical neuropsychologist, smart environment technologies offer opportunities for new methods of data collection, for both clinical and research purposes. Over the past decade, people perform their normal activities of daily living. The data can then be used to support everyday activities and to assist in rehabilitation and proactive interventions through real-time assistance and monitoring of real-world responses to intervention. The data can also be used to improve our understanding of the effects of cognitive impairment on everyday functioning as well as theories about behavior. The chapter begins with a discussion of research in the sensor technologies have become more mature. For example, sensor power and capacity have increased while sensor size and cost have decreased. Similarly, there has been significant progress in the areas of wireless networks, data processing, and machine learning. Data can now be automatically collected from sensor-filled smart homes (environmental or fixed devices), activity trackers (wearable devices), and smartphones (portable devices) in an unobtrusive manner while area of activity recognition, followed by application of this work to functional and health assessment and to activity-aware intervention.
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Smieszek, Magdalena, Aljoscha Kindermann, Ali Amr, Benjamin Meder, and Christoph Dieterich. "An Apple Watch Dashboard for HiGHmed Heart Insufficency Patients." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210553.

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Wearables are commercially available devices allowing continuous monitoring of users’ health parameters. Their easy availability, increasing accuracy and functionality render them relevant for medical practice, specifically for longitudinal monitoring. There are clear benefits for the health care system, such as the opportunity of timely interventions by monitoring a patient during his daily life, resulting in a cost reduction in medical care and improved patient well-being. However, some tools are essential to enable the application of wearables in medical daily practice. For example, there is a need for software solutions that allow clinicians to quickly and easily analyze data from devices of their patients. The goal of this study was to develop a dashboard for physicians, which allows rapid data interpretation of longitudinal data from the Apple Watch. The prototype dashboard is an interactive web-based visualization platform utilizing Plotly. The dashboard displays the most important parameters like heart rate, steps per day, activity, exercise collected by the Apple Watch in a user-friendly and accessible way. Clear visualization makes it easy to identify trends or deviations in the data and see how these changes in daily behaviour affect patients’ health. Our software is a key component to monitor patients with heart failure who participate in the HiGHmed use case cardiology project.
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Wong, Adam Ka Lok, and Man Fung Lo. "Using Pervasive Computing for Sustainable Healthcare in an Aging Population." In Sustainable Health and Long-Term Care Solutions for an Aging Population. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2633-9.ch010.

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Statistics have shown that not only the proportion of elderly as part of the world's population is growing, but there also is a growing deficit of the working population compared to the retired population. Therefore, the provision for age-related medical conditions will put a heavy pressure on the healthcare system. This chapter discusses how pervasive computing can be used to help to achieve sustainability in healthcare for the elderly. Mobile devices can facilitate old adults to actively seek for health and nutrition information, beware of their vital signs, and follow an active life style in a safe manner. Light-weight wearable electronic devices can provide acute care and rehabilitation services to the elderly without causing a big impact to their quality of life. A model is suggested to integrate the use of pervasive computing in health education, health management, doctor support, and monitored rehabilitation at home.
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Conference papers on the topic "Wearable activity monitors"

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Kapoor, Kunal, Emma Raywood, Helen Douglas, et al. "Determining resting heart rate in children using wearable activity monitors." In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa342.

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Muaremi, Amir, Julia Seiter, Franz Gravenhorst, Agon Bexheti, Bert Arnrich, and Gerhard Troester. "Monitor Pilgrims: Prayer Activity Recognition using Wearable Sensors." In 8th International Conference on Body Area Networks. ACM, 2013. http://dx.doi.org/10.4108/icst.bodynets.2013.253685.

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Sullivan, Christopher, Elizabeth DeBartolo, and Kathleen Lamkin-Kennard. "A Wearable Gait Monitor and Terrain Prediction System." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14261.

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Nearly one million people in 2009 were discharged from the hospital with stroke as the primary diagnosis [1]. One of the many lasting side effects of a stroke can be foot drop, or an inability to dorsiflex the foot. In order to remedy this, many people wear an ankle-foot orthotic (AFO) post-stroke. Interviews with AFO users revealed that they frequently have difficulty walking on stairs and ramps, because the AFO limits the plantarflexion that is natural in navigating those ground types. An active AFO that adapts to changing ground terrain would provide a more natural gait pattern for these in
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Kunsoo Shin, Hyun Tae Hwang, Youn Ho Kim, et al. "WHAM: A novel, wearable heart activity monitor based on Laplacian potential mapping." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1616212.

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Shin, Kunsoo, Youn Ho Kim, Jong Pal Kim, and Jae Chan Park. "The preliminary study on the clinical application of the WHAM (Wearable Heart Activity Monitor)." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.259735.

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Shin, Kunsoo, Youn Ho Kim, Jong Pal Kim, and Jae Chan Park. "The preliminary study on the clinical application of the WHAM (Wearable Heart Activity Monitor)." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4398833.

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Chen, Kuan-Yuan, Shu-Chuan Ho, Kang-Yun Lee, and Wen-Te Li. "Combined dual bronchodilator and wearable headset-based exercise training enhance daily activity monitored by wearable watch in COPD>." In ERS International Congress 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/1393003.congress-2017.pa1065.

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Fletcher, Richard Ribon, Nicolas M. Oreskovic, and Alyssa I. Robinson. "Design and clinical feasibility of personal wearable monitor for measurement of activity and environmental exposure." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6943730.

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Doron, Maeva, Thomas Bastian, Aurelia Maire, et al. "Estimation of physical activity monitored during the day-to-day life by an autonomous wearable device (SVELTE project)." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610579.

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Smith, W. D., and A. Bagley. "A miniature, wearable activity/fall monitor to assess the efficacy of mobility therapy for children with cerebral palsy during everyday living." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5627079.

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