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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

180 related items for PubMed ID: 19964894

  • 1. Dynamic activity classification based on automatic adaptation of postural orientation.
    Song SK, Jang J, Park SJ.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6175-8. PubMed ID: 19964894
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  • 6. Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors.
    Zemp R, Tanadini M, Plüss S, Schnüriger K, Singh NB, Taylor WR, Lorenzetti S.
    Biomed Res Int; 2016; 2016():5978489. PubMed ID: 27868066
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  • 7. An Automatic User-Adapted Physical Activity Classification Method Using Smartphones.
    Li P, Wang Y, Tian Y, Zhou TS, Li JS.
    IEEE Trans Biomed Eng; 2017 Mar; 64(3):706-714. PubMed ID: 27249822
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  • 9. Detection and classification of postural transitions in real-world conditions.
    Ganea R, Paraschiv-lonescu A, Aminian K.
    IEEE Trans Neural Syst Rehabil Eng; 2012 Sep; 20(5):688-96. PubMed ID: 22692942
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  • 11. Ambulatory monitoring of human posture and walking speed using wearable accelerometer sensors.
    Yeoh WS, Pek I, Yong YH, Chen X, Waluyo AB.
    Annu Int Conf IEEE Eng Med Biol Soc; 2008 Sep; 2008():5184-7. PubMed ID: 19163885
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  • 13. Detection of physical activity types using triaxial accelerometers.
    Skotte J, Korshøj M, Kristiansen J, Hanisch C, Holtermann A.
    J Phys Act Health; 2014 Jan; 11(1):76-84. PubMed ID: 23249722
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  • 15. iFall: an Android application for fall monitoring and response.
    Sposaro F, Tyson G.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 Jan; 2009():6119-22. PubMed ID: 19965264
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  • 18. Estimating energy expenditure using body-worn accelerometers: a comparison of methods, sensors number and positioning.
    Altini M, Penders J, Vullers R, Amft O.
    IEEE J Biomed Health Inform; 2015 Jan; 19(1):219-26. PubMed ID: 24691168
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  • 19. Fetching Connected Pedometer Data to Analyze Patients Walking.
    Souvignet J, Le Hello C, Trombert-Paviot B, Brouard B, Chieh A, Boissier C.
    Stud Health Technol Inform; 2016 Jan; 221():130. PubMed ID: 27071904
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  • 20. A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer.
    Vähä-Ypyä H, Vasankari T, Husu P, Suni J, Sievänen H.
    Clin Physiol Funct Imaging; 2015 Jan; 35(1):64-70. PubMed ID: 24393233
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