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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

247 related items for PubMed ID: 35458954

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  • 5. The efficacy of the floor-reaction ankle-foot orthosis in children with cerebral palsy.
    Rogozinski BM, Davids JR, Davis RB, Jameson GG, Blackhurst DW.
    J Bone Joint Surg Am; 2009 Oct; 91(10):2440-7. PubMed ID: 19797580
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  • 7. Impact of ankle-foot orthoses on gait 1 year after lower limb surgery in children with bilateral cerebral palsy.
    Skaaret I, Steen H, Terjesen T, Holm I.
    Prosthet Orthot Int; 2019 Feb; 43(1):12-20. PubMed ID: 30084755
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  • 8. Efficacy of ankle foot orthoses types on walking in children with cerebral palsy: A systematic review.
    Aboutorabi A, Arazpour M, Ahmadi Bani M, Saeedi H, Head JS.
    Ann Phys Rehabil Med; 2017 Nov; 60(6):393-402. PubMed ID: 28713039
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  • 9. Gait Trajectory and Gait Phase Prediction Based on an LSTM Network.
    Su B, Gutierrez-Farewik EM.
    Sensors (Basel); 2020 Dec 12; 20(24):. PubMed ID: 33322673
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  • 10. Acclimatization of the gait pattern to wearing an ankle-foot orthosis in children with spastic cerebral palsy.
    Kerkum YL, Brehm MA, van Hutten K, van den Noort JC, Harlaar J, Becher JG, Buizer AI.
    Clin Biomech (Bristol); 2015 Jul 12; 30(6):617-22. PubMed ID: 25854606
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  • 11. The influence of the use of ankle-foot orthoses on thorax, spine, and pelvis kinematics during walking in children with cerebral palsy.
    Swinnen E, Baeyens JP, Van Mulders B, Verspecht J, Degelaen M.
    Prosthet Orthot Int; 2018 Apr 12; 42(2):208-213. PubMed ID: 28486863
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  • 14. A Robotic Exoskeleton for Treatment of Crouch Gait in Children With Cerebral Palsy: Design and Initial Application.
    Lerner ZF, Damiano DL, Park HS, Gravunder AJ, Bulea TC.
    IEEE Trans Neural Syst Rehabil Eng; 2017 Jun 12; 25(6):650-659. PubMed ID: 27479974
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  • 15. The effect of tuning ankle foot orthoses-footwear combination on the gait parameters of children with cerebral palsy.
    Eddison N, Chockalingam N.
    Prosthet Orthot Int; 2013 Apr 12; 37(2):95-107. PubMed ID: 22833518
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  • 16. Deep Learning-Based Energy Expenditure Estimation in Assisted and Non-Assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors.
    Lopes JM, Figueiredo J, Fonseca P, Cerqueira JJ, Vilas-Boas JP, Santos CP.
    Sensors (Basel); 2022 Oct 18; 22(20):. PubMed ID: 36298264
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  • 17. Using Deep Learning to Predict Minimum Foot-Ground Clearance Event from Toe-Off Kinematics.
    Asogwa CO, Nagano H, Wang K, Begg R.
    Sensors (Basel); 2022 Sep 14; 22(18):. PubMed ID: 36146308
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  • 18. Lower Limb Kinematics Trajectory Prediction Using Long Short-Term Memory Neural Networks.
    Zaroug A, Lai DTH, Mudie K, Begg R.
    Front Bioeng Biotechnol; 2020 Sep 14; 8():362. PubMed ID: 32457881
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  • 19. Effect of floor reaction ankle-foot orthosis on crouch gait in patients with cerebral palsy: What can be expected?
    Böhm H, Matthias H, Braatz F, Döderlein L.
    Prosthet Orthot Int; 2018 Jun 14; 42(3):245-253. PubMed ID: 28693377
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  • 20. The effect of mono- versus multi-segment musculoskeletal models of the foot on simulated triceps surae lengths in pathological and healthy gait.
    Zandbergen MA, Schallig W, Stebbins JA, Harlaar J, van der Krogt MM.
    Gait Posture; 2020 Mar 14; 77():14-19. PubMed ID: 31951914
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