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For: Leong JY, Wong JE. Accuracy of three Android-based pedometer applications in laboratory and free-living settings. Journal of Sports Sciences 2016;35:14-21. [DOI: 10.1080/02640414.2016.1154592] [Cited by in Crossref: 22] [Cited by in F6Publishing: 17] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Paldán K, Steinmetz M, Simanovski J, Rammos C, Ullrich G, Jánosi RA, Moebus S, Rassaf T, Lortz J. Supervised Exercise Therapy Using Mobile Health Technology in Patients With Peripheral Arterial Disease: Pilot Randomized Controlled Trial. JMIR Mhealth Uhealth 2021;9:e24214. [PMID: 34398800 DOI: 10.2196/24214] [Reference Citation Analysis]
2 Irfannuddin M, Laeto AB, Zulissetiana EF, Santoso B, Kurniati AM, Hestiningsih T. Virtual national workshop: preparation of multimedia modules for physical education teachers in accordance with COVID-19 prevention procedures. Adv Physiol Educ 2021;45:563-7. [PMID: 34319192 DOI: 10.1152/advan.00249.2020] [Reference Citation Analysis]
3 Adamakis M. Criterion Validity of iOS and Android Applications to Measure Steps and Distance in Adults. Technologies 2021;9:55. [DOI: 10.3390/technologies9030055] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Mattfeld R, Jesch E, Hoover A. Evaluating Pedometer Algorithms on Semi-Regular and Unstructured Gaits. Sensors (Basel) 2021;21:4260. [PMID: 34206289 DOI: 10.3390/s21134260] [Reference Citation Analysis]
5 Caputo EL, Feter N, Alberton CL, Leite JS, Rodrigues AN, Dumith SC, Silva MCD. Reliability of a smartphone application to measure physical activity. Res Sports Med 2021;:1-8. [PMID: 33719802 DOI: 10.1080/15438627.2021.1899919] [Reference Citation Analysis]
6 Hernandez N, Castro L, Medina-Quero J, Favela J, Michan L, Mortenson WB. Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring. J Healthc Inform Res 2021;:1-30. [PMID: 33554008 DOI: 10.1007/s41666-020-00087-z] [Reference Citation Analysis]
7 Zhai Y, Nasseri N, Pöttgen J, Gezhelbash E, Heesen C, Stellmann JP. Smartphone Accelerometry: A Smart and Reliable Measurement of Real-Life Physical Activity in Multiple Sclerosis and Healthy Individuals. Front Neurol 2020;11:688. [PMID: 32922346 DOI: 10.3389/fneur.2020.00688] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Moore CC, McCullough AK, Aguiar EJ, Ducharme SW, Tudor-Locke C. Toward Harmonized Treadmill-Based Validation of Step-Counting Wearable Technologies: A Scoping Review. J Phys Act Health 2020;:1-13. [PMID: 32652514 DOI: 10.1123/jpah.2019-0205] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
9 Adamakis M. Criterion validity of wearable monitors and smartphone applications to measure physical activity energy expenditure in adolescents. Sport Sci Health 2020;16:755-63. [DOI: 10.1007/s11332-020-00654-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
10 Ferreira J, Queirós A, Silva AG. Criterion validity of two mobile applications to count the number of steps in older adults with chronic pain. European Journal of Physiotherapy 2021;23:325-30. [DOI: 10.1080/21679169.2020.1757151] [Reference Citation Analysis]
11 Silva AG, Simões P, Queirós A, Rodrigues M, Rocha NP. Mobile Apps to Quantify Aspects of Physical Activity: a Systematic Review on its Reliability and Validity. J Med Syst 2020;44:51. [PMID: 31915935 DOI: 10.1007/s10916-019-1506-z] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 4.5] [Reference Citation Analysis]
12 Poojary J, Arora E, Britto A, Polen Z, Arena R, Babu AS. Validity of Mobile-Based Technology vs Direct Observation in Measuring Number of Steps and Distance Walked in 6 Minutes. Mayo Clin Proc 2018;93:1873-4. [PMID: 30522597 DOI: 10.1016/j.mayocp.2018.09.003] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Peart DJ, Balsalobre-Fernández C, Shaw MP. Use of Mobile Applications to Collect Data in Sport, Health, and Exercise Science: A Narrative Review. J Strength Cond Res 2019;33:1167-77. [PMID: 29176384 DOI: 10.1519/JSC.0000000000002344] [Cited by in Crossref: 35] [Cited by in F6Publishing: 19] [Article Influence: 11.7] [Reference Citation Analysis]
14 Mahoney JM, Rhudy MB. Methodology and validation for identifying gait type using machine learning on IMU data. J Med Eng Technol 2019;43:25-32. [PMID: 31037995 DOI: 10.1080/03091902.2019.1599073] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
15 Hurt CP, Lein DH Jr, Smith CR, Curtis JR, Westfall AO, Cortis J, Rice C, Willig JH. Assessing a novel way to measure step count while walking using a custom mobile phone application. PLoS One 2018;13:e0206828. [PMID: 30399162 DOI: 10.1371/journal.pone.0206828] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 2.5] [Reference Citation Analysis]
16 Beltrán-Carrillo VJ, Jiménez-Loaisa A, Alarcón-López M, Elvira JLL. Validity of the "Samsung Health" application to measure steps: A study with two different samsung smartphones. J Sports Sci 2019;37:788-94. [PMID: 30332917 DOI: 10.1080/02640414.2018.1527199] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
17 Rhudy MB, Mahoney JM. A comprehensive comparison of simple step counting techniques using wrist- and ankle-mounted accelerometer and gyroscope signals. J Med Eng Technol 2018;42:236-43. [PMID: 29846134 DOI: 10.1080/03091902.2018.1470692] [Cited by in Crossref: 14] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
18 Presset B, Laurenczy B, Malatesta D, Barral J. Accuracy of a smartphone pedometer application according to different speeds and mobile phone locations in a laboratory context. J Exerc Sci Fit 2018;16:43-8. [PMID: 30662492 DOI: 10.1016/j.jesf.2018.05.001] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
19 Bort-Roig J, Puig-Ribera A, Contreras RS, Chirveches-Pérez E, Martori JC, Gilson ND, McKenna J. Monitoring sedentary patterns in office employees: validity of an m-health tool (Walk@Work-App) for occupational health. Gac Sanit 2018;32:563-6. [PMID: 28923337 DOI: 10.1016/j.gaceta.2017.05.004] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
20 Pobiruchin M, Suleder J, Zowalla R, Wiesner M. Accuracy and Adoption of Wearable Technology Used by Active Citizens: A Marathon Event Field Study. JMIR Mhealth Uhealth 2017;5:e24. [PMID: 28246070 DOI: 10.2196/mhealth.6395] [Cited by in Crossref: 25] [Cited by in F6Publishing: 18] [Article Influence: 5.0] [Reference Citation Analysis]