This paper is in the following e-collection/theme issue:

Portable and Mobile Technologies for Rehabilitation (156) Mobile Health (mhealth) (2982)

Published on in Vol 3, No 1 (2016): Jan-Jun

Novel Use of a Smartphone to Measure Standing Balance

Novel Use of a Smartphone to Measure Standing Balance

Novel Use of a Smartphone to Measure Standing Balance

Authors of this article:

Nirtal Shah1 Author Orcid Image ;   Rosanne Aleong2 Author Orcid Image ;   Ivan So3 Author Orcid Image
Article Authors Cited by (17) Tweetations (3) Metrics

Journals

  1. 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 View
  2. Bruyneel A, Duclos N. Effects of the use of mobile phone on postural and locomotor tasks: a scoping review. Gait & Posture 2020;82:233 View
  3. Salisbury J, Keshav N, Sossong A, Sahin N. Concussion Assessment With Smartglasses: Validation Study of Balance Measurement Toward a Lightweight, Multimodal, Field-Ready Platform. JMIR mHealth and uHealth 2018;6(1):e15 View
  4. Hwang J, Hwang S. Smartphone Based Standing Balance Evaluation Using Frequency Domain Analysis of Acceleration. Physical Therapy Korea 2018;25(3):27 View
  5. Gray-Miceli D, Patel N, Sekar A, Smith M. 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 View
  6. 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 View
  7. 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 View
  8. Pinho A, Salazar A, Hennig E, Spessato B, Domingo A, Pagnussat A. 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 View
  9. Polechoński J, Nawrocka A, Wodarski P, Tomik R. Applicability of Smartphone for Dynamic Postural Stability Evaluation. BioMed Research International 2019;2019:1 View
  10. Binedell T, Subburaj K, Wong Y, Blessing L. 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 View
  11. Lee D, Han S. Dynamic balance measurements: Reliability of smartphone attachment sites. Journal of Bodywork and Movement Therapies 2021;27:222 View
  12. 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 View
  13. 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 View
  14. 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 View
  15. Procházka A, Martynek D, Vitujová M, Janáková D, Charvátová H, Vyšata O. Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment. Sensors 2024;24(22):7330 View

Books/Policy Documents

  1. Rhea C, Kuznetsov N, Wright W, Haran F, Ross S, Duckworth J. Pre-Clinical and Clinical Methods in Brain Trauma Research. View