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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

198 related items for PubMed ID: 33596942

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  • 4. Portable, automated foot progression angle gait modification via a proof-of-concept haptic feedback-sensorized shoe.
    Xia H, Charlton JM, Shull PB, Hunt MA.
    J Biomech; 2020 Jun 23; 107():109789. PubMed ID: 32321637
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  • 7. Validity and reliability of a shoe-embedded sensor module for measuring foot progression angle during over-ground walking.
    Charlton JM, Xia H, Shull PB, Hunt MA.
    J Biomech; 2019 May 24; 89():123-127. PubMed ID: 31047695
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  • 9. Validation of a smart shoe for estimating foot progression angle during walking gait.
    Xia H, Xu J, Wang J, Hunt MA, Shull PB.
    J Biomech; 2017 Aug 16; 61():193-198. PubMed ID: 28780187
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  • 16. Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis.
    Ibrahim AA, Küderle A, Gaßner H, Klucken J, Eskofier BM, Kluge F.
    J Neuroeng Rehabil; 2020 Dec 18; 17(1):165. PubMed ID: 33339530
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  • 17. Comparability between wearable inertial sensors and an electronic walkway for spatiotemporal and relative phase data in young children aged 6-11 years.
    Carroll K, Kennedy RA, Koutoulas V, Werake U, Bui M, Kraan CM.
    Gait Posture; 2024 Jun 18; 111():30-36. PubMed ID: 38615566
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  • 18. Reliability of inertial sensor based spatiotemporal gait parameters for short walking bouts in community dwelling older adults.
    Motti Ader LG, Greene BR, McManus K, Caulfield B.
    Gait Posture; 2021 Mar 18; 85():1-6. PubMed ID: 33497966
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  • 19. Quantifying Asymmetric Gait Pattern Changes Using a Hidden Markov Model Similarity Measure (HMM-SM) on Inertial Sensor Signals.
    Ng G, Gouda A, Andrysek J.
    Sensors (Basel); 2024 Oct 04; 24(19):. PubMed ID: 39409470
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