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PUBMED FOR HANDHELDS

Journal Abstract Search


196 related items for PubMed ID: 22255542

  • 21.
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  • 22. Towards a social and context-aware multi-sensor fall detection and risk assessment platform.
    De Backere F, Ongenae F, Van den Abeele F, Nelis J, Bonte P, Clement E, Philpott M, Hoebeke J, Verstichel S, Ackaert A, De Turck F.
    Comput Biol Med; 2015 Sep; 64():307-20. PubMed ID: 25542073
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  • 23. Review of wireless sensors networks in health applications.
    Zubiete ED, Luque LF, Rodríguez AV, González IG.
    Annu Int Conf IEEE Eng Med Biol Soc; 2011 Sep; 2011():1789-93. PubMed ID: 22254675
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  • 24. Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting.
    Patel S, Chen BR, Mancinelli C, Paganoni S, Shih L, Welsh M, Dy J, Bonato P.
    Annu Int Conf IEEE Eng Med Biol Soc; 2011 Sep; 2011():1552-5. PubMed ID: 22254617
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  • 25. Preliminary results on the effect of sensor position on unobtrusive rollover detection for sleep monitoring in smart homes.
    Townsend DI, Goubran R, Frize M, Knoefel F.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 Sep; 2009():6135-8. PubMed ID: 19965073
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  • 26. Wearable wireless multi-parameter sensor module for physiological monitoring.
    Liverud AE, Vedum J, Fleurey F, Seeberg TM.
    Stud Health Technol Inform; 2012 Sep; 177():210-5. PubMed ID: 22942056
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  • 30. Development of a standard fall data format for signals from body-worn sensors : the FARSEEING consensus.
    Klenk J, Chiari L, Helbostad JL, Zijlstra W, Aminian K, Todd C, Bandinelli S, Kerse N, Schwickert L, Mellone S, Bagalá F, Delbaere K, Hauer K, Redmond SJ, Robinovitch S, Aziz O, Schwenk M, Zecevic A, Zieschang T, Becker C, FARSEEING Consortium and the FARSEEING Meta-Database Consensus Group.
    Z Gerontol Geriatr; 2013 Dec; 46(8):720-6. PubMed ID: 24271252
    [Abstract] [Full Text] [Related]

  • 31. Falls event detection using triaxial accelerometry and barometric pressure measurement.
    Bianchi F, Redmond SJ, Narayanan MR, Cerutti S, Celler BG, Lovell NH.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 Dec; 2009():6111-4. PubMed ID: 19965262
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  • 32.
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  • 33. Fall detection with body-worn sensors : a systematic review.
    Schwickert L, Becker C, Lindemann U, Maréchal C, Bourke A, Chiari L, Helbostad JL, Zijlstra W, Aminian K, Todd C, Bandinelli S, Klenk J, FARSEEING Consortium and the FARSEEING Meta Database Consensus Group.
    Z Gerontol Geriatr; 2013 Dec; 46(8):706-19. PubMed ID: 24271251
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  • 35. iFall: an Android application for fall monitoring and response.
    Sposaro F, Tyson G.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 Dec; 2009():6119-22. PubMed ID: 19965264
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  • 36. Motion-based wake-up scheme for ambulatory monitoring in wireless body sensor networks.
    Pek I, Waluyo AB, Yeoh WS, Chen X.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 Dec; 2009():2454-7. PubMed ID: 19964959
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  • 38. Seamless tracing of human behavior using complementary wearable and house-embedded sensors.
    Augustyniak P, Smoleń M, Mikrut Z, Kańtoch E.
    Sensors (Basel); 2014 Apr 29; 14(5):7831-56. PubMed ID: 24787640
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  • 40. Data acquisition system using six degree-of-freedom inertia sensor and ZigBee wireless link for fall detection and prevention.
    Dinh A, Teng D, Chen L, Ko SB, Shi Y, Basran J, Del Bello-Hass V.
    Annu Int Conf IEEE Eng Med Biol Soc; 2008 Apr 29; 2008():2353-6. PubMed ID: 19163174
    [Abstract] [Full Text] [Related]


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