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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

155 related items for PubMed ID: 28333648

  • 1. Mobile Stride Length Estimation With Deep Convolutional Neural Networks.
    Hannink J, Kautz T, Pasluosta CF, Barth J, Schulein S, GaBmann KG, Klucken J, Eskofier BM.
    IEEE J Biomed Health Inform; 2018 Mar; 22(2):354-362. PubMed ID: 28333648
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  • 2. Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks.
    Hannink J, Kautz T, Pasluosta CF, Gasmann KG, Klucken J, Eskofier BM.
    IEEE J Biomed Health Inform; 2017 Jan; 21(1):85-93. PubMed ID: 28103196
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  • 6. Mobile Spatiotemporal Gait Segmentation Using an Ear-Worn Motion Sensor and Deep Learning.
    Decker J, Boborzi L, Schniepp R, Jahn K, Wuehr M.
    Sensors (Basel); 2024 Oct 04; 24(19):. PubMed ID: 39409482
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  • 10. Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson's disease patients.
    Roth N, Küderle A, Ullrich M, Gladow T, Marxreiter F, Klucken J, Eskofier BM, Kluge F.
    J Neuroeng Rehabil; 2021 Jun 03; 18(1):93. PubMed ID: 34082762
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  • 11. Estimation of Stride Time Variability in Unobtrusive Long-Term Monitoring Using Inertial Measurement Sensors.
    Lueken M, Kate WT, Valenti G, Batista JP, Bollheimer C, Leonhardt S, Ngo C.
    IEEE J Biomed Health Inform; 2020 Jul 03; 24(7):1879-1886. PubMed ID: 32386168
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  • 14. EL-SLE: Efficient Learning Based Stride-Length Estimation Using a Smartphone.
    Shu M, Chen G, Zhang Z.
    Sensors (Basel); 2022 Sep 10; 22(18):. PubMed ID: 36146213
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  • 15. 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
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  • 16. Speed estimation from a tri-axial accelerometer using neural networks.
    Song Y, Shin S, Kim S, Lee D, Lee KH.
    Annu Int Conf IEEE Eng Med Biol Soc; 2007 Jan 20; 2007():3224-7. PubMed ID: 18002682
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