Published on in Vol 6, No 1 (2018): January

Preprints (earlier versions) of this paper are available at, first published .
Smartphone App–Based Assessment of Gait During Normal and Dual-Task Walking: Demonstration of Validity and Reliability

Smartphone App–Based Assessment of Gait During Normal and Dual-Task Walking: Demonstration of Validity and Reliability

Smartphone App–Based Assessment of Gait During Normal and Dual-Task Walking: Demonstration of Validity and Reliability


  1. Zafonte R, Pascual‐Leone A, Baggish A, Weisskopf M, Taylor H, Connor A, Baker J, Cohan S, Valdivia C, Courtney T, Cohen I, Speizer F, Nadler L. The Football Players’ Health Study at Harvard University: Design and objectives. American Journal of Industrial Medicine 2019;62(8):643 View
  2. Kobsar D, Charlton J, Tse C, Esculier J, Graffos A, Krowchuk N, Thatcher D, Hunt M. Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis. Journal of NeuroEngineering and Rehabilitation 2020;17(1) View
  3. Guillén-Rogel P, Franco-Escudero C, Marín P. Test-retest reliability of a smartphone app for measuring core stability for two dynamic exercises. PeerJ 2019;7:e7485 View
  4. Tang Y, Li Z, Tian H, Ding J, Lin B. Detecting Toe-Off Events Utilizing a Vision-Based Method. Entropy 2019;21(4):329 View
  5. Steinert A, Sattler I, Otte K, Röhling H, Mansow-Model S, Müller-Werdan U. Using New Camera-Based Technologies for Gait Analysis in Older Adults in Comparison to the Established GAITRite System. Sensors 2019;20(1):125 View
  6. Martin E, Kim S, Unfried A, Delcambre S, Sanders N, Bischoff B, Saavedra R. 6th vital sign app: Testing validity and reliability for measuring gait speed. Gait & Posture 2019;68:264 View
  7. Zhong R, Rau P. Are cost-effective technologies feasible to measure gait in older adults? A systematic review of evidence-based literature. Archives of Gerontology and Geriatrics 2020;87:103970 View
  8. Fujiwara S, Sato S, Sugawara A, Nishikawa Y, Koji T, Nishimura Y, Ogasawara K. The Coefficient of Variation of Step Time Can Overestimate Gait Abnormality: Test-Retest Reliability of Gait-Related Parameters Obtained with a Tri-Axial Accelerometer in Healthy Subjects. Sensors 2020;20(3):577 View
  9. Manor B, Zhou J, Lo O, Zhu H, Gouskova N, Yu W, Zafonte R, Lipsitz L, Travison T, Pascual‐Leone A. Self‐Reported Head Trauma Predicts Poor Dual Task Gait in Retired National Football League Players. Annals of Neurology 2020;87(1):75 View
  10. Erickson K, Grove G, Burns J, Hillman C, Kramer A, McAuley E, Vidoni E, Becker J, Butters M, Gray K, Huang H, Jakicic J, Kamboh M, Kang C, Klunk W, Lee P, Marsland A, Mettenburg J, Rogers R, Stillman C, Sutton B, Szabo-Reed A, Verstynen T, Watt J, Weinstein A, Wollam M. Investigating Gains in Neurocognition in an Intervention Trial of Exercise (IGNITE): Protocol. Contemporary Clinical Trials 2019;85:105832 View
  11. Zhong R, Rau P. A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation. JMIR mHealth and uHealth 2020;8(5):e14453 View
  12. Park J, Kim T. Reliability and Validity of a Smartphone-based Assessment of Gait Parameters in Patients with Chronic Stroke. Journal of The Korean Society of Physical Medicine 2018;13(3):19 View
  13. Cattaneo G, Bartrés-Faz D, Morris T, Sánchez J, Macià D, Tarrero C, Tormos J, Pascual-Leone A. The Barcelona Brain Health Initiative: A Cohort Study to Define and Promote Determinants of Brain Health. Frontiers in Aging Neuroscience 2018;10 View
  14. Jim H, Hoogland A, Brownstein N, Barata A, Dicker A, Knoop H, Gonzalez B, Perkins R, Rollison D, Gilbert S, Nanda R, Berglund A, Mitchell R, Johnstone P. Innovations in research and clinical care using patient‐generated health data. CA: A Cancer Journal for Clinicians 2020;70(3):182 View
  15. Takayanagi N, Sudo M, Yamashiro Y, Lee S, Kobayashi Y, Niki Y, Shimada H. Relationship between Daily and In-laboratory Gait Speed among Healthy Community-dwelling Older Adults. Scientific Reports 2019;9(1) View
  16. Chien J, Torres-Russotto D, Wang Z, Gui C, Whitney D, Siu K, Barbieri F. The use of smartphone in measuring stance and gait patterns in patients with orthostatic tremor. PLOS ONE 2019;14(7):e0220012 View
  17. Sato S, Fujiwara S, Miyoshi K, Chida K, Kobayashi M, Kubo Y, Yoshida K, Terasaki K, Ogasawara K. Improvement in gait function after carotid endarterectomy is associated with postoperative recovery in perfusion and neurotransmitter receptor function in the motor-related cerebral cortex: a 123I-iomazenil SPECT study. Nuclear Medicine Communications 2020;41(11):1161 View
  18. Montero-Odasso M, Sarquis-Adamson Y, Kamkar N, Pieruccini-Faria F, Bray N, Cullen S, Mahon J, Titus J, Camicioli R, Borrie M, Bherer L, Speechley M. Dual-task gait speed assessments with an electronic walkway and a stopwatch in older adults. A reliability study. Experimental Gerontology 2020;142:111102 View
  19. Takahashi T, Fujiwara S, Igarashi S, Ando T, Chida K, Kobayashi M, Yoshida K, Koji T, Kubo Y, Ogasawara K. Comparison of Subjective and Objective Assessments on Improvement in Gait Function after Carotid Endarterectomy. Sensors 2020;20(22):6590 View
  20. Su D, Liu Z, Jiang X, Zhang F, Yu W, Ma H, Wang C, Wang Z, Wang X, Hu W, Manor B, Feng T, Zhou J. Simple Smartphone-Based Assessment of Gait Characteristics in Parkinson Disease: Validation Study. JMIR mHealth and uHealth 2021;9(2):e25451 View
  21. Krichen M. Anomalies Detection Through Smartphone Sensors: A Review. IEEE Sensors Journal 2021;21(6):7207 View
  22. Pfau T, Reilly P. How low can we go? Influence of sample rate on equine pelvic displacement calculated from inertial sensor data. Equine Veterinary Journal 2021;53(5):1075 View
  23. Bahl N, Magnavita E, Hshieh T, Testa M, Kim D, Manor B, Driver J, Abel G, DuMontier C. Objective performance tests of cognition and physical function as part of a virtual geriatric assessment. Journal of Geriatric Oncology 2021 View
  24. Bouça-Machado R, Pona-Ferreira F, Leitão M, Clemente A, Vila-Viçosa D, Kauppila L, Costa R, Matias R, Ferreira J. Feasibility of a Mobile-Based System for Unsupervised Monitoring in Parkinson’s Disease. Sensors 2021;21(15):4972 View

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  1. Kloek C. De dokter en digitalisering. View