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Wearable Woes: an Emerging Issue in Product Liability Litigation By
Wearable Woes: An Emerging Issue in Product Liability Litigation By Sarah Hansen Burden, Hafner & Hansen, LLC 605 Brisbane Building 403 Main Street Buffalo, New York 14203 Popular wearables such as the Fitbit have experienced setbacks as they sell millions of their fitness trackers to the public. These problems have ranged from skin irritation to a failure to accurately monitor the user’s heartrate. Fitbit has fended off multiple lawsuits, including a shareholder lawsuit resulting from alleged failures of their device to work as advertised, resulting in a plunge in its stock value. In October 2013, Fitbit released its Force model and by the end of that year, users were reporting skin irritations on their wrists where they were wearing the fitness tracker.1 The symptoms reported by users ranged from red patches to blisters.2 Apple Watch users also reported skin irritation in the area where they were wearing their watch.3 Several customers who alleged that they suffered from skin irritation commenced a lawsuit against Fitbit claiming to have been misled by their advertising of the device.4 Overall, approximately 1.7% of the Fitbit Force users reported skin irritation.5 As a result of the consumer complaints, Fitbit issued a recall of the Force model offering a full refund.6 Fitbit conducted the recall of the Force with the Consumer Product Safety Commission.7 The recall was announced on February 20, 2014 and involves approximately 1,000,000 units in the United States and another 28,000 in Canada.8 In a letter dated October 17, 2014 from the CEO of Fitbit, James Park, Fitbit announced that after their investigation, it is believed that some users were reacting to the nickel in the stainless steel or to the methacrylate used in the adhesives to manufacture the Force.9 Mr. -
Healthchampion Connected Apps and Devices 02.06.2020
HealthChampion Connected Apps and Devices 02.06.2020 Source Device Type Summaries Workouts Measurements Sleep Nutrition FDA Status AsthmaMD AsthmaMD Peak Flow Meter - - Supported - - - BodiMetrics BodiMetrics Performance Monitor Health Monitor Supported - Supported - - - Daily Burn Daily Burn App Activity Tracker - Supported - - - - Dario Blood Glucose Monitoring Dario Glucometer - - Supported - - - System 510(k) Dexcom Dexcom G4 Platinum CGM Glucometer - - Supported - - Cleared 510(k) Dexcom Dexcom G5 CGM Glucometer - - Supported - - Cleared 510(k) Dexcom Dexcom G6 CGM Glucometer - - Supported - - Cleared Coming Emfit Emfit QS Sleep Tracker - - - - - soon Fitbit Fitbit App Activity Tracker Supported Supported Supported Supported Supported - Fitbit Fitbit Aria Scale - - Supported - - - Fitbit Fitbit Aria 2 Scale - - Supported - - - Fitbit Fitbit Aria Air Scale - - Supported - - - Fitbit Fitbit Flex Activity Tracker Supported - - Supported - - Fitbit Fitbit Charge Activity Tracker Supported Supported - Supported - - Fitbit Fitbit Charge HR Activity Tracker Supported Supported - Supported - - Fitbit Fitbit Force Activity Tracker Supported Supported - Supported - - Fitbit Fitbit One Activity Tracker Supported Supported - Supported - - Fitbit Fitbit Surge Activity Tracker Supported Supported - Supported - - Fitbit Fitbit Ultra Activity Tracker Supported Supported - Supported - - Fitbit Fitbit Zip Activity Tracker Supported - - - Fitbit Fitbit Blaze Activity Tracker Supported Supported - Supported - - Fitbit Fitbit Alta Activity Tracker Supported -
Crowd Cycling: Understanding Cyclist Behaviour Using the Mobile Tracking App Strava
Crowd Cycling: Understanding cyclist behaviour using the mobile tracking app Strava Mark Dunleavy A research paper submitted to the University of Dublin, in partial fulfilment of the requirements for the degree of Master of Science Interactive Digital Media 2015 Declaration I declare that the work described in this research paper is, except where otherwise stated, entirely my own work and has not been submitted as an exercise for a degree at this or any other university. Signed: ____________________________ Mark Dunleavy 14 May 2015 Permission to lend and/or copy I agree that Trinity College Library may lend or copy this research paper upon request. Signed: ____________________________ Mark Dunleavy 14 May 2015 Acknowledgement I would like to thank my research supervisor Professor Glenn Strong for his guidance and encouragement during this research. I would also like to thank my wonderful wife Jennifer for her support and amazing MS Word skills. Summary Concerns over traffic congestion, climate change and increased morbidity and mortality due to the rising rate of obesity have led to the promotion of cycling as a means to address all these issues simultaneously. Governments and city planners have created policies, and reserved significant funds, to promote cycling as a mode of transport. Many cities, however, have evolved for motor vehicles with little consideration for cyclists. In order to ensure that the cycle- friendly policies are implemented as efficiently and effectively as possible, planners need to understand how cyclists behave, both as individuals and as a group. Current information on cyclist behaviour is derived mainly from surveys and bicycle counting studies, providing a very limited snapshot of cyclist behaviour in cities. -
How to Sync Your Device to Staywell the Following Slides Include a Step-By-Step Guide to Get You Started with Tracking Your Fitness in My Staywell Platform
How to Sync your Device to StayWell The following slides include a step-by-step guide to get you started with tracking your fitness in My StayWell Platform. Choose from the following options: Available connections: Connect a Device • Apple Health Kit • Fat Secret (iPhone or Apple Watch) • Fitbit Connect the Apple Health App • Garmin • Google Fit Connect the Google Fit App (Android) • HealthSpective • IHealth • MapMyFitness • MyFitnessPal • Misfit • Runkeeper • Strava • Vitadock • Withings How to Sync your Device 1. Click the sync icon in the top right-hand corner of the dashboard. 2. Choose source (e.g. Fitbit) 3. Enter login credentials and share all activity How to Sync the Apple Health App (iPhone or Apple Watch) It’s simple to sync your iPhone or Apple watch with the My StayWell app! Review the following step by step guide to get started with tracking your fitness in the My StayWell Platform! A few notes before getting started: - The StayWell Platform app is called “My StayWell” in the App Store. - These instructions are how to sync your Apple Health app with the My StayWell Platform app, so be sure to find the My StayWell app in the App store on your phone, download it, and log in before continuing with this guide. - Once your Apple Health app is synced with the My StayWell app, just log in to the My StayWell app regularly to see your Apple Health data automatically shared to your StayWell account. How to Sync the Apple Health App (iPhone or Apple Watch) Before getting started, make sure that you have downloaded the My StayWell app from the App store and have logged in. -
Accuracy of Consumer-Level and Research-Grade Activity Trackers In
RESEARCH ARTICLE Accuracy of consumer-level and research- grade activity trackers in ambulatory settings in older adults 1 1 1 2 1 Salvatore TedescoID *, Marco Sica , Andrea Ancillao , Suzanne Timmons , John Barton , Brendan O'Flynn1 1 Tyndall National Institute, University College Cork, Cork, Ireland, 2 Centre for Gerontology and Rehabilitation, University College Cork, Cork, Ireland a1111111111 * [email protected] a1111111111 a1111111111 a1111111111 a1111111111 Abstract Wrist-worn activity trackers have experienced a tremendous growth lately and studies on the accuracy of mainstream trackers used by older adults are needed. This study explores the performance of six trackers (Fitbit Charge2, Garmin VivoSmart HR+, Philips Health OPEN ACCESS Watch, Withings Pulse Ox, ActiGraph GT9X-BT, Omron HJ-72OITC) for estimating: steps, Citation: Tedesco S, Sica M, Ancillao A, Timmons travelled distance, and heart-rate measurements for a cohort of older adults. Eighteen older S, Barton J, O'Flynn B (2019) Accuracy of adults completed a structured protocol involving walking tasks, simulated household activi- consumer-level and research-grade activity trackers in ambulatory settings in older adults. ties, and sedentary activities. Less standardized activities were also included, such as: PLoS ONE 14(5): e0216891. https://doi.org/ dusting, using a walking aid, or playing cards, in order to simulate real-life scenarios. Wrist- 10.1371/journal.pone.0216891 mounted and chest/waist-mounted devices were used. Gold-standards included treadmill, Editor: Bijan Najafi, Baylor College of Medicine, ECG-based chest strap, direct observation or video recording according to the activity and UNITED STATES parameter. Every tracker showed a decreasing accuracy with slower walking speed, which Received: January 8, 2019 resulted in a significant step under-counting. -
Exploring the Use of Mobile and Wearable Technology Among University Student Athletes in Lebanon: a Cross-Sectional Study
sensors Article Exploring the Use of Mobile and Wearable Technology among University Student Athletes in Lebanon: A Cross-Sectional Study Marco Bardus 1, Cecile Borgi 2, Marwa El-Harakeh 2 , Tarek Gherbal 3,4, Samer Kharroubi 2 and Elie-Jacques Fares 2,* 1 Department of Health Promotion and Community Health, Faculty of Health Sciences, American University of Beirut, Beirut 1107 2020, Lebanon; [email protected] 2 Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut 1107 2020, Lebanon; [email protected] (C.B.); [email protected] (M.E.-H.); [email protected] (S.K.) 3 University Sports, Office of Student Affairs, American University of Beirut, Beirut 1107 2020, Lebanon; [email protected] 4 Aman Hospital, Doha, Qatar * Correspondence: [email protected] Abstract: The markets of commercial wearables and health and fitness apps are constantly growing globally, especially among young adults and athletes, to track physical activity, energy expenditure and health. Despite their wide availability, evidence on use comes predominantly from the United States or Global North, with none targeting college student-athletes in low- and middle-income Citation: Bardus, M.; Borgi, C.; countries. This study was aimed to explore the use of these technologies among student-athletes at El-Harakeh, M.; Gherbal, T.; the American University of Beirut (AUB). We conducted a cross-sectional survey of 482 participants Kharroubi, S.; Fares, E.-J. Exploring (average age 20 years) enrolled in 24 teams during Fall 2018; 230 students successfully completed the Use of Mobile and Wearable the web-based survey, and 200 provided valid data. -
Wearable Devices for Remote Vital Signs Monitoring in the Outpatient Setting: an Overview of the Field
REVIEW BMJ Innov: first published as 10.1136/bmjinnov-2019-000354 on 14 January 2020. Downloaded from Wearable devices for remote vital signs monitoring in the outpatient setting: an overview of the field Stephanie Soon,1 Hafdis Svavarsdottir,2 Candice Downey ,2 David George Jayne2 1School of Medicine, University ABSTRACT known predictor of cardiac and respira- of Leeds, Leeds, UK 1 Early detection of physiological deterioration 2Leeds Institute of Medical tory arrest, and early detection of dete- Research at St. James’s, St. has been shown to improve patient outcomes. rioration has been shown to improve James’s University Hospital, Due to recent improvements in technology, patient outcomes including mortality and University of Leeds, Leeds, UK 2 comprehensive outpatient vital signs monitoring quality of life. Traditional intermittent is now possible. This is the first review to collate Correspondence to manual vital signs monitoring, such as Candice Downey, Leeds Institute information on all wearable devices on the early warning score systems, risks unde- of Medical Research at St. market for outpatient physiological monitoring. tected patient deterioration through James’s, University of Leeds, 3 A scoping review was undertaken. The monitors Leeds, LS2 9JT, UK; c. l. downey@ inadequate frequency of monitoring. leeds. ac. uk reviewed were limited to those that can Wearable remote monitoring technolo- function in the outpatient setting with minimal gies, aided by wireless data transmission, The findings of this review restrictions on the patient’s normal lifestyle, allow continuous monitoring of patients’ have been presented as a poster at the National Student while measuring any or all of the vital signs: vital signs and introduce the possibility Association for Medical heart rate, ECG, oxygen saturation, respiration of physiological monitoring in the outpa- Research (NSAMR) Conference rate, blood pressure and temperature. -
The Effect of Physical Activity Apps on Physical Activity Behavior and Users’ Evaluation of Physical Activity Apps
Wageningen University – Department of Social Sciences Chair Group Strategic Communication The Effect of Physical Activity Apps on Physical Activity Behavior and Users’ Evaluation of Physical Activity Apps 31 March 2016 MSc Thesis Strategic Communication (CPT-81333) MSc Applied Communication Science Laura Ploumen 1st Supervisor: Jorinde Spook 2nd Supervisor: Edith Feskens Abstract Background: A new development in the promotion of health and physical activity (PA) is the use of PA apps. This development brings along a new field of research. Despite the broad range of research in the previous years, there are still research gaps with regard to the effect of PA apps on behavior determinants and with regard to the users’ evaluation of PA apps. Objective: Determine what the effect is of the use of PA apps on PA and its’ determinants self-efficacy, outcome expectations, socio-structural factors, and self-regulation. In addition, an objective is to find out how Dutch adults evaluate PA apps and why they use it or do not use it. Methods: The Social Cognitive Theory (SCT) was the theoretical framework for this study. A cross-sectional study design was used, with 251 participants. Differences in determinants, PA and PA enjoyment between app users (N=63) and non-users (N=188) were measured using ANCOVA’s, adjusting for the covariates age and education. As exploratory research, mediation analyses were performed to get insight into the underlying mechanisms of the SCT model. Several apps were evaluated using a system usability score, an evaluation of behavior change techniques and open questions. Results: App users scored significantly higher than non-users on self-efficacy, outcome expectations, and self- regulation. -
Bpm Full Form in Smart Watch
Bpm Full Form In Smart Watch AmorphousventuresomelyFlory and thriftiest and or inundated turgidly Brent still after Joshuah generalising Alonzo never outglares his elucidates leadings and trifled hisaught. Avogadro! illimitably, Tarrant enameled rococo and his unovercome. legs sizzle Reveal stress: using continuous HR monitors can show said when your HR rises and falls during stem day. Heart of data obtained from the photoplethysmography sensor and step count data case the accelerometer were accessed by the Cardiogram application and input include a deep neural network. Can allow us to be found in bpm core to check the bpm full form in smart watch or revised in the form factor is nothing but. Learn more cumbersome to swimming, but mostly over what you should take continuous hr sensor with no time we increase your bpm full form in smart watch in or mobvoi became rude and following apple. At a smart phones, bpm full form in smart watch? Once my cardio activity reminders for exclusive health tracking is bpm full form in smart watch measures how does not yet been a medical monitoring that. Recovery heart rate values in bpm full form in smart watch? In either terminate, you speak sit quietly, attempt to relax, and cover our entire screen of the device with foot opposite only, making claim that the motto of center palm is touching all four sides of the device. At the time of city, such company were making available to us; however, arrest data, together when combined with machine learning approaches, as fabulous as an increased number of study participants, will greatly improve diagnostics. -
Remote Patient Monitoring Using Health Bands With
REMOTE PATIENT MONITORING USING HEALTH BANDS WITH ACTIVITY LEVEL PRESCRIPTION by PRANAY SHIROLKAR Presented to the Faculty of the Graduate School of The University of Texas at Arlington in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE IN COMPUTER SCIENCE AND ENGINEERING THE UNIVERSITY OF TEXAS AT ARLINGTON December 2016 Copyright © by Pranay Shirolkar 2016 All Rights Reserved ii Acknowledgements This thesis is a blend of motivation and insights from Prof. David Levine, my Guru, mentor and supervisor. I would like to thank Prof. David Levine with all my heart for encouraging me, motivating me and tracking my progress throughout the work that was being done. It would not be possible without your belief in me and tons of anecdotes from your experience. Thank you again for enlightening me through the path of my career and all the wisdom that I have gained under your supervision. I would like to thank all my committee members, for their patience, faith and confidence in me. I thank Dr. Khosrow Behbehani for his fruitful insights and guidance for the fruition of this project and systematically guiding the way and motivation. I thank Dr. Christoph Csallner to provide me insights on the aspects of software engineering, motivating to pursue something that I believe in and identifying the potential in me. I thank my parents, Mr. Girish Shirolkar and Mrs. Sumati Shirolkar, without their constant care, hope, faith, motivation, and confidence in me I cannot imagine the completion of this thesis. I thank Purva Sugandhi for always being there and having a very patient and perseverant effort at listening and constantly motivating me towards achieving my goals. -
Securerun: Cheat-Proof and Private Summaries for Location-Based Activities Anh Pham, Kévin Huguenin, Igor Bilogrevic, Italo Dacosta, Jean-Pierre Hubaux
SecureRun: Cheat-Proof and Private Summaries for Location-Based Activities Anh Pham, Kévin Huguenin, Igor Bilogrevic, Italo Dacosta, Jean-Pierre Hubaux To cite this version: Anh Pham, Kévin Huguenin, Igor Bilogrevic, Italo Dacosta, Jean-Pierre Hubaux. SecureRun: Cheat-Proof and Private Summaries for Location-Based Activities. IEEE Transactions on Mo- bile Computing, Institute of Electrical and Electronics Engineers, 2016, 15 (8), pp.2109-2123. 10.1109/TMC.2015.2483498. hal-01198596 HAL Id: hal-01198596 https://hal.archives-ouvertes.fr/hal-01198596 Submitted on 18 Sep 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. IEEE TRANSACTIONS ON MOBILE COMPUTING 1 SecureRun: Cheat-Proof and Private Summaries for Location-Based Activities Anh Pham, Student Member, IEEE, Kevin´ Huguenin, Member, IEEE, Igor Bilogrevic, Member, IEEE, Italo Dacosta, Member, IEEE, Jean-Pierre Hubaux, Fellow, IEEE Abstract—Activity-tracking applications, where people record and upload information about their location-based activities (e.g., the routes of their activities), are increasingly popular. Such applications enable users to share information and compete with their friends on activity-based social networks but also, in some cases, to obtain discounts on their health insurance premiums by proving they conduct regular fitness activities. -
Sport Trackers and Big Data: Studying User Traces to Identify Opportunities and Challenges Rudyar Cortés, Xavier Bonnaire, Olivier Marin, Pierre Sens
Sport Trackers and Big Data: Studying user traces to identify opportunities and challenges Rudyar Cortés, Xavier Bonnaire, Olivier Marin, Pierre Sens To cite this version: Rudyar Cortés, Xavier Bonnaire, Olivier Marin, Pierre Sens. Sport Trackers and Big Data: Studying user traces to identify opportunities and challenges. [Research Report] RR-8636, INRIA Paris. 2014. hal-01092242 HAL Id: hal-01092242 https://hal.inria.fr/hal-01092242 Submitted on 8 Dec 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Sport Trackers and Big Data: Studying user traces to identify opportunities and challenges Rudyar Cortés, Xavier Bonnaire, Olivier Marin, Pierre Sens RESEARCH REPORT N° 8636 November 2014 Project-Teams ARMADA ISSN 0249-6399 ISRN INRIA/RR--8636--FR+ENG Sport Trackers and Big Data: Studying user traces to identify opportunities and challenges Rudyar Cortés, Xavier Bonnaire, Olivier Marin, Pierre Sens Project-Teams ARMADA Research Report n° 8636 — November 2014 — 15 pages Abstract: Personal location data is a rich source of big data. For instance, fitness-oriented sports tracker applications are increasingly popular and generate huge amounts of location data gathered from sensors such as GPS and accelerometers.