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Journal Abstract Search
619 related items for PubMed ID: 28433867
1. Validity and repeatability of inertial measurement units for measuring gait parameters. Washabaugh EP, Kalyanaraman T, Adamczyk PG, Claflin ES, Krishnan C. Gait Posture; 2017 Jun; 55():87-93. PubMed ID: 28433867 [Abstract] [Full Text] [Related]
2. Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis. Kobsar D, Charlton JM, Tse CTF, Esculier JF, Graffos A, Krowchuk NM, Thatcher D, Hunt MA. J Neuroeng Rehabil; 2020 May 11; 17(1):62. PubMed ID: 32393301 [Abstract] [Full Text] [Related]
3. Repeatability of spatiotemporal, plantar pressure and force parameters during treadmill walking and running. Nüesch C, Overberg JA, Schwameder H, Pagenstert G, Mündermann A. Gait Posture; 2018 May 11; 62():117-123. PubMed ID: 29547791 [Abstract] [Full Text] [Related]
4. The Accuracy and Precision of Gait Spatio-Temporal Parameters Extracted from an Instrumented Sock during Treadmill and Overground Walking in Healthy Subjects and Patients with a Foot Impairment Secondary to Psoriatic Arthritis. Walha R, Lebel K, Gaudreault N, Dagenais P, Cereatti A, Della Croce U, Boissy P. Sensors (Basel); 2021 Sep 15; 21(18):. PubMed ID: 34577387 [Abstract] [Full Text] [Related]
5. Reliability and concurrent validity of spatiotemporal stride characteristics measured with an ankle-worn sensor among older individuals. Rantalainen T, Pirkola H, Karavirta L, Rantanen T, Linnamo V. Gait Posture; 2019 Oct 15; 74():33-39. PubMed ID: 31442820 [Abstract] [Full Text] [Related]
6. Measurement of foot placement and its variability with inertial sensors. Rebula JR, Ojeda LV, Adamczyk PG, Kuo AD. Gait Posture; 2013 Sep 15; 38(4):974-80. PubMed ID: 23810335 [Abstract] [Full Text] [Related]
7. Mobile inertial sensor based gait analysis: Validity and reliability of spatiotemporal gait characteristics in healthy seniors. Donath L, Faude O, Lichtenstein E, Pagenstert G, Nüesch C, Mündermann A. Gait Posture; 2016 Sep 15; 49():371-374. PubMed ID: 27494305 [Abstract] [Full Text] [Related]
8. Validity and reliability of inertial measurement units for gait assessment within a post stroke population. Desai R, Martelli D, Alomar JA, Agrawal S, Quinn L, Bishop L. Top Stroke Rehabil; 2024 Apr 15; 31(3):235-243. PubMed ID: 37545107 [Abstract] [Full Text] [Related]
9. Gait and Axial Spondyloarthritis: Comparative Gait Analysis Study Using Foot-Worn Inertial Sensors. Soulard J, Vaillant J, Baillet A, Gaudin P, Vuillerme N. JMIR Mhealth Uhealth; 2021 Nov 09; 9(11):e27087. PubMed ID: 34751663 [Abstract] [Full Text] [Related]
10. Measuring markers of aging and knee osteoarthritis gait using inertial measurement units. Hafer JF, Provenzano SG, Kern KL, Agresta CE, Grant JA, Zernicke RF. J Biomech; 2020 Jan 23; 99():109567. PubMed ID: 31916999 [Abstract] [Full Text] [Related]
11. Estimation of Ankle Joint Power during Walking Using Two Inertial Sensors. Jiang X, Gholami M, Khoshnam M, Eng JJ, Menon C. Sensors (Basel); 2019 Jun 21; 19(12):. PubMed ID: 31234451 [Abstract] [Full Text] [Related]
12. Inertial measurement unit compared to an optical motion capturing system in post-stroke individuals with foot-drop syndrome. Feuvrier F, Sijobert B, Azevedo C, Griffiths K, Alonso S, Dupeyron A, Laffont I, Froger J. Ann Phys Rehabil Med; 2020 May 21; 63(3):195-201. PubMed ID: 31009801 [Abstract] [Full Text] [Related]
13. A comparison of variability in spatiotemporal gait parameters between treadmill and overground walking conditions. Hollman JH, Watkins MK, Imhoff AC, Braun CE, Akervik KA, Ness DK. Gait Posture; 2016 Jan 21; 43():204-9. PubMed ID: 26481257 [Abstract] [Full Text] [Related]
14. Validity and reliability of a portable gait analysis system for measuring spatiotemporal gait characteristics: comparison to an instrumented treadmill. Donath L, Faude O, Lichtenstein E, Nüesch C, Mündermann A. J Neuroeng Rehabil; 2016 Jan 20; 13():6. PubMed ID: 26790409 [Abstract] [Full Text] [Related]
15. Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System. Shahar RT, Agmon M. Sensors (Basel); 2021 Nov 11; 21(22):. PubMed ID: 34833576 [Abstract] [Full Text] [Related]
16. Complexity, fractal dynamics and determinism in treadmill ambulation: Implications for clinical biomechanists. Hollman JH, Watkins MK, Imhoff AC, Braun CE, Akervik KA, Ness DK. Clin Biomech (Bristol); 2016 Aug 11; 37():91-97. PubMed ID: 27380204 [Abstract] [Full Text] [Related]
17. Normative database of spatiotemporal gait parameters using inertial sensors in typically developing children and young adults. Voss S, Joyce J, Biskis A, Parulekar M, Armijo N, Zampieri C, Tracy R, Palmer AS, Fefferman M, Ouyang B, Liu Y, Berry-Kravis E, O'Keefe JA. Gait Posture; 2020 Jul 11; 80():206-213. PubMed ID: 32531757 [Abstract] [Full Text] [Related]
18. A Novel Approach for Improving Gait Speed Estimation Using a Single Inertial Measurement Unit Embedded in a Smartphone: Validity and Reliability Study. Lee PA, Yu W, Zhou J, Tsai T, Manor B, Lo OY. JMIR Mhealth Uhealth; 2024 Aug 13; 12():e52166. PubMed ID: 39140268 [Abstract] [Full Text] [Related]
19. Reliability and validity of a smartphone-based assessment of gait parameters across walking speed and smartphone locations: Body, bag, belt, hand, and pocket. Silsupadol P, Teja K, Lugade V. Gait Posture; 2017 Oct 13; 58():516-522. PubMed ID: 28961548 [Abstract] [Full Text] [Related]
20. Validation of algorithms for calculating spatiotemporal gait parameters during continuous turning using lumbar and foot mounted inertial measurement units. Kvist A, Tinmark F, Bezuidenhout L, Reimeringer M, Conradsson DM, Franzén E. J Biomech; 2024 Jan 13; 162():111907. PubMed ID: 38134464 [Abstract] [Full Text] [Related] Page: [Next] [New Search]