Published on 29.03.16 in Vol 3, No 1 (2016): Jan-Jun
Works citing "Novel Use of a Smartphone to Measure Standing Balance"
According to Crossref, the following articles are citing this article (DOI 10.2196/rehab.4511):
(note that this is only a small subset of citations)
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Abdo N, ALSaadawy B, Embaby E, Rehan Youssef A. Validity and reliability of smartphone use in assessing balance in patients with chronic ankle instability and healthy volunteers: A cross-sectional study. Gait & Posture 2020;82:26
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Bruyneel A, Duclos NC. Effects of the use of mobile phone on postural and locomotor tasks: a scoping review. Gait & Posture 2020;82:233
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Salisbury JP, Keshav NU, Sossong AD, Sahin NT. Concussion Assessment With Smartglasses: Validation Study of Balance Measurement Toward a Lightweight, Multimodal, Field-Ready Platform. JMIR mHealth and uHealth 2018;6(1):e15
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Hwang J, Hwang S. Smartphone Based Standing Balance Evaluation Using Frequency Domain Analysis of Acceleration. Physical Therapy Korea 2018;25(3):27
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Gray-Miceli D, Patel N, Sekar A, Smith ML. Using Mobile Technology to Assess Balance During a Sit-to-Stand Maneuver Among Older Adults With Fall Risk: A Pilot Study. Journal of Gerontological Nursing 2019;45(10):18
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Johnston W, O’Reilly M, Argent R, Caulfield B. Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review. Sports Medicine 2019;49(5):783
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Lee D, Han S. Study on the Reliability of Smartphone-Based Measurements of Leg Segment and Joint Angles During Gait. Journal of the Korean Society for Precision Engineering 2019;36(3):293
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Pinho AS, Salazar AP, Hennig EM, Spessato BC, Domingo A, Pagnussat AS. Can We Rely on Mobile Devices and Other Gadgets to Assess the Postural Balance of Healthy Individuals? A Systematic Review. Sensors 2019;19(13):2972
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Polechoński J, Nawrocka A, Wodarski P, Tomik R. Applicability of Smartphone for Dynamic Postural Stability Evaluation. BioMed Research International 2019;2019:1
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Binedell T, Subburaj K, Wong Y, Blessing LTM. Leveraging Digital Technology to Overcome Barriers in the Prosthetic and Orthotic Industry: Evaluation of its Applicability and Use During the COVID-19 Pandemic. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e23827
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Lee D, Han S. Dynamic balance measurements: Reliability of smartphone attachment sites. Journal of Bodywork and Movement Therapies 2021;27:222
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Wantanajittikul K, Wiboonsuntharangkoon C, Chuatrakoon B, Kongsawasdi S, Cai Y. Application of Machine Learning to Predict Trajectory of the Center of Pressure (COP) Path of Postural Sway Using a Triaxial Inertial Sensor. The Scientific World Journal 2022;2022:1
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Koshino Y, Akimoto M, Kawahara D, Watanabe K, Ishida T, Samukawa M, Kasahara S, Tohyama H. Inertial Sensor-Based Assessment of Static Balance in Athletes with Chronic Ankle Instability. Journal of Sports Science and Medicine 2023;:36
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Paderi F, Emmanouil A, Rousanoglou E. Reliability of assessing ballet dancers’ postural stability in the unshod and the en pointe relevé position with a smartphone application. Human Movement 2021;23(2):84
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According to Crossref, the following books are citing this article (DOI 10.2196/rehab.4511):
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Rhea CK, Kuznetsov NA, Wright WG, Haran FJ, Ross SE, Duckworth JL. Pre-Clinical and Clinical Methods in Brain Trauma Research. 2018. Chapter 18:283
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