Published on 12.04.18 in Vol 6, No 4 (2018): April
Works citing "Evaluating the Validity of Current Mainstream Wearable Devices in Fitness Tracking Under Various Physical Activities: Comparative Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9754):
(note that this is only a small subset of citations)
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Aroganam G, Manivannan N, Harrison D. Review on Wearable Technology Sensors Used in Consumer Sport Applications. Sensors 2019;19(9):1983
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Liao Y, Schembre S. Acceptability of Continuous Glucose Monitoring in Free-Living Healthy Individuals: Implications for the Use of Wearable Biosensors in Diet and Physical Activity Research. JMIR mHealth and uHealth 2018;6(10):e11181
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Ryu J, Park J. Validation of Wearable Devices to Measure Energy Consumption. The Asian Journal of Kinesiology 2020;22(1):33
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Chaudhry FF, Danieletto M, Golden E, Scelza J, Botwin G, Shervey M, De Freitas JK, Paranjpe I, Nadkarni GN, Miotto R, Glowe P, Stock G, Percha B, Zimmerman N, Dudley JT, Glicksberg BS. Sleep in the Natural Environment: A Pilot Study. Sensors 2020;20(5):1378
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Pakpour AH, Griffiths MD, Ohayon MM, Broström A, Lin C. Editorial: A Good Sleep: The Role of Factors in Psychosocial Health. Frontiers in Neuroscience 2020;14
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Jia Y, Wang W, Wen D, Liang L, Gao L, Lei J. Perceived user preferences and usability evaluation of mainstream wearable devices for health monitoring. PeerJ 2018;6:e5350
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Wu J, Ho T, Chang Y, Hsu C, Tsai CJ, Lai F, Lin M. Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study. JMIR mHealth and uHealth 2019;7(4):e11989
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Kwon KY, Shin YJ, Shin JH, Jeong C, Jung YH, Park B, Kim T. Stretchable, Patch‐Type Calorie‐Expenditure Measurement Device Based on Pop‐Up Shaped Nanoscale Crack‐Based Sensor. Advanced Healthcare Materials 2019;8(19)
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. The Predictive Relationship of Health Related Quality of Life on Objectively-Measured Sleep in Children: A Comparison Across BMI Ranges. Frontiers in Neuroscience 2019;13
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Weichenthal S, Hatzopoulou M, Brauer M. A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology. Environment International 2019;122:3
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Boland M, Bronlund J. eNutrition - The next dimension for eHealth?. Trends in Food Science & Technology 2019;91:634
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Johnson A, Yang F, Gollarahalli S, Banerjee T, Abrams D, Jonassaint J, Jonassaint C, Shah N. Use of Mobile Health Apps and Wearable Technology to Assess Changes and Predict Pain During Treatment of Acute Pain in Sickle Cell Disease: Feasibility Study. JMIR mHealth and uHealth 2019;7(12):e13671
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Mičková E, Machová K, Daďová K, Svobodová I. Does Dog Ownership Affect Physical Activity, Sleep, and Self-Reported Health in Older Adults?. International Journal of Environmental Research and Public Health 2019;16(18):3355
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Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O’Flynn B, Najafi B. Accuracy of consumer-level and research-grade activity trackers in ambulatory settings in older adults. PLOS ONE 2019;14(5):e0216891
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Navalta JW, Ramirez GG, Maxwell C, Radzak KN, McGinnis GR. Validity and Reliability of Three Commercially Available Smart Sports Bras during Treadmill Walking and Running. Scientific Reports 2020;10(1)
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Soon S, Svavarsdottir H, Downey C, Jayne DG. Wearable devices for remote vital signs monitoring in the outpatient setting: an overview of the field. BMJ Innovations 2020;6(2):55
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Shwetar YJ, Veerubhotla AL, Huang Z, Ding D. Comparative validity of energy expenditure prediction algorithms using wearable devices for people with spinal cord injury. Spinal Cord 2020;58(7):821
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Liang J, Xian D, Liu X, Fu J, Zhang X, Tang B, Lei J. Usability Study of Mainstream Wearable Fitness Devices: Feature Analysis and System Usability Scale Evaluation. JMIR mHealth and uHealth 2018;6(11):e11066
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Qi J, Yang P, Newcombe L, Peng X, Yang Y, Zhao Z. An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure. Information Fusion 2020;55:269
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Kim J, Cho JW. Future Sleep Medicine: Mobile Health and Big Data. Journal of Sleep Medicine 2019;16(1):1
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Degroote L, Hamerlinck G, Poels K, Maher C, Crombez G, De Bourdeaudhuij I, Vandendriessche A, Curtis RG, DeSmet A. Low-Cost Consumer-Based Trackers to Measure Physical Activity and Sleep Duration Among Adults in Free-Living Conditions: Validation Study. JMIR mHealth and uHealth 2020;8(5):e16674
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Sun J, Liu Y. Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study. JMIR mHealth and uHealth 2020;8(8):e17699
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Müller AM, Wang NX, Yao J, Tan CS, Low ICC, Lim N, Tan J, Tan A, Müller-Riemenschneider F. Heart Rate Measures From Wrist-Worn Activity Trackers in a Laboratory and Free-Living Setting: Validation Study. JMIR mHealth and uHealth 2019;7(10):e14120
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Fuller D, Colwell E, Low J, Orychock K, Tobin MA, Simango B, Buote R, Van Heerden D, Luan H, Cullen K, Slade L, Taylor NGA. Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review. JMIR mHealth and uHealth 2020;8(9):e18694
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Attig C, Franke T. Abandonment of personal quantification: A review and empirical study investigating reasons for wearable activity tracking attrition. Computers in Human Behavior 2020;102:223
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Sañudo B, Fennell C, Sánchez-Oliver AJ. Objectively-Assessed Physical Activity, Sedentary Behavior, Smartphone Use, and Sleep Patterns Pre- and during-COVID-19 Quarantine in Young Adults from Spain. Sustainability 2020;12(15):5890
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Yang X, Kovarik CL. A systematic review of mobile health interventions in China: Identifying gaps in care. Journal of Telemedicine and Telecare 2021;27(1):3
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Witt DR, Kellogg RA, Snyder MP, Dunn J. Windows into human health through wearables data analytics. Current Opinion in Biomedical Engineering 2019;9:28
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. Physical Activity and Cognitive Function in Mild Cognitive Impairment. ASN Neuro 2020;12:175909141990118
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Dimitratos SM, German JB, Schaefer SE. Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study. JMIR mHealth and uHealth 2020;8(7):e16405
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Tinius R, Edens K, Link K, Jones MS, Lyons S, Rebelle T, Pearson KJ, Maples J. Effect of Evidence-Based Materials and Access to Local Resources on Physical Activity Levels, Beliefs, and Motivation During Pregnancy in a Rural Setting. Journal of Physical Activity and Health 2020;17(10):947
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Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O'Flynn B. Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort. JMIR mHealth and uHealth 2019;7(6):e13084
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Zhang H, Fu Z, Shu K. Recognizing Ping-Pong Motions Using Inertial Data Based on Machine Learning Classification Algorithms. IEEE Access 2019;7:167055
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Javed AR, Sarwar MU, Beg MO, Asim M, Baker T, Tawfik H. A collaborative healthcare framework for shared healthcare plan with ambient intelligence. Human-centric Computing and Information Sciences 2020;10(1)
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WELK GJ, BAI Y, LEE J, GODINO J, SAINT-MAURICE PF, CARR L. Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies. Medicine & Science in Sports & Exercise 2019;51(8):1767
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Budig M, Höltke V, Keiner M. Accuracy of optical heart rate measurement and distance measurement of a fitness tracker and their consequential use in sports. German Journal of Exercise and Sport Research 2019;49(4):402
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Kulev I, Valk C, Lu Y, Pu P. Recommender System for Responsive Engagement of Senior Adults in Daily Activities. Journal of Population Ageing 2020;13(2):167
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Nelson BW, Allen NB. Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study. JMIR mHealth and uHealth 2019;7(3):e10828
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Ringeval M, Wagner G, Denford J, Paré G, Kitsiou S. Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(10):e23954
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Ringeval M, Wagner G, Denford J, Paré G, Kitsiou S. Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(10):e23954
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Wang X, Chen H, Heidari AA, Zhang X, Xu J, Xu Y, Huang H. Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis. Knowledge-Based Systems 2020;210:106437
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Chu Y, Abu-Hamdeh NH, Ben-Beya B, Hajizadeh MR, Li Z, Bach Q. Nanoparticle enhanced PCM exergy loss and thermal behavior by means of FVM. Journal of Molecular Liquids 2020;320:114457
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Yao X, Huang X, Yang C, Hu A, Zhou G, Ju M, Lei J, Shu J. A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model. JMIR Medical Informatics 2020;8(10):e23578
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Zhou W, Wang P, Heidari AA, Zhao X, Turabieh H, Chen H. Random learning gradient based optimization for efficient design of photovoltaic models. Energy Conversion and Management 2021;230:113751
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Qu T, Qu Z, Oyarhossein MA. On the wave propagation in a multi-hybrid nanocomposite doubly curved panel. Mechanics Based Design of Structures and Machines 2023;51(2):875
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Sun X, Bi Y, Guo Y, Ghadiri M, Mohammadinia S. CO2 geo-sequestration modeling study for contact angle estimation in ternary systems of brine, CO2, and mineral. Journal of Cleaner Production 2021;283:124662
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Wang T, Almarashi A, Al-Turki YA, Abu-Hamdeh NH, Hajizadeh MR, Chu Y. Approaches for expedition of discharging of PCM involving nanoparticles and radial fins. Journal of Molecular Liquids 2021;329:115052
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Li C, Li J, Chen H, Heidari AA. Memetic Harris Hawks Optimization: Developments and perspectives on project scheduling and QoS-aware web service composition. Expert Systems with Applications 2021;171:114529
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Li F, Almarashi A, Jafaryar M, Hajizadeh MR, Chu Y. Melting process of nanoparticle enhanced PCM through storage cylinder incorporating fins. Powder Technology 2021;381:551
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Carrier B, Barrios B, Jolley BD, Navalta JW. Validity and Reliability of Physiological Data in Applied Settings Measured by Wearable Technology: A Rapid Systematic Review. Technologies 2020;8(4):70
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Bai Y, Suhatril M, Cao Y, Forooghi A, Assilzadeh H. Hygro–thermo–magnetically induced vibration of nanobeams with simultaneous axial and spinning motions based on nonlocal strain gradient theory. Engineering with Computers 2022;38(3):2509
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Hashemzadeh B, Edjlali L, Kheirollahi Nezhad PD, Vessally E. Hexa-cata-hexabenzocoronene nanographene as a promising anode material for Mg-ion batteries. Journal of Molecular Modeling 2021;27(2)
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Dang TH, Bui TH, Nguyen AT, Almusawi MB, Bui XV. Nanomaterial transportation and heat transfer simulation in a penetrable canal using power law model. Applied Nanoscience 2023;13(1):313
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Carlin T, Vuillerme N. Step and Distance Measurement From a Low-Cost Consumer-Based Hip and Wrist Activity Monitor: Protocol for a Validity and Reliability Assessment. JMIR Research Protocols 2021;10(1):e21262
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