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PUBMED FOR HANDHELDS

Journal Abstract Search


177 related items for PubMed ID: 30352984

  • 1. Context Impacts in Accelerometer-Based Walk Detection and Step Counting.
    Ao B, Wang Y, Liu H, Li D, Song L, Li J.
    Sensors (Basel); 2018 Oct 24; 18(11):. PubMed ID: 30352984
    [Abstract] [Full Text] [Related]

  • 2. A comprehensive comparison of simple step counting techniques using wrist- and ankle-mounted accelerometer and gyroscope signals.
    Rhudy MB, Mahoney JM.
    J Med Eng Technol; 2018 Apr 24; 42(3):236-243. PubMed ID: 29846134
    [Abstract] [Full Text] [Related]

  • 3. A Systematic Comparison of Age and Gender Prediction on IMU Sensor-Based Gait Traces.
    Van Hamme T, Garofalo G, Argones Rúa E, Preuveneers D, Joosen W.
    Sensors (Basel); 2019 Jul 04; 19(13):. PubMed ID: 31277389
    [Abstract] [Full Text] [Related]

  • 4. A novel accelerometry-based algorithm for the detection of step durations over short episodes of gait in healthy elderly.
    Micó-Amigo ME, Kingma I, Ainsworth E, Walgaard S, Niessen M, van Lummel RC, van Dieën JH.
    J Neuroeng Rehabil; 2016 Apr 19; 13():38. PubMed ID: 27093956
    [Abstract] [Full Text] [Related]

  • 5. Objective characterization of daily living transitions in patients with Parkinson's disease using a single body-fixed sensor.
    Bernad-Elazari H, Herman T, Mirelman A, Gazit E, Giladi N, Hausdorff JM.
    J Neurol; 2016 Aug 19; 263(8):1544-51. PubMed ID: 27216626
    [Abstract] [Full Text] [Related]

  • 6. Step Detection and Parameterization for Gait Assessment Using a Single Waist-Worn Accelerometer.
    Soaz C, Diepold K.
    IEEE Trans Biomed Eng; 2016 May 19; 63(5):933-942. PubMed ID: 26394415
    [Abstract] [Full Text] [Related]

  • 7. Time series classification using a modified LSTM approach from accelerometer-based data: A comparative study for gait cycle detection.
    Tan HX, Aung NN, Tian J, Chua MCH, Yang YO.
    Gait Posture; 2019 Oct 19; 74():128-134. PubMed ID: 31518859
    [Abstract] [Full Text] [Related]

  • 8. A Novel Accelerometer-Based Technique for Robust Detection of Walking Direction.
    Shaikh MF, Salcic Z, Wang KI.
    IEEE Trans Biomed Eng; 2018 Aug 19; 65(8):1740-1747. PubMed ID: 29989934
    [Abstract] [Full Text] [Related]

  • 9. Evaluation of the performance of accelerometer-based gait event detection algorithms in different real-world scenarios using the MAREA gait database.
    Khandelwal S, Wickström N.
    Gait Posture; 2017 Jan 19; 51():84-90. PubMed ID: 27736735
    [Abstract] [Full Text] [Related]

  • 10. Inertial sensing algorithms for long-term foot angle monitoring for assessment of idiopathic toe-walking.
    Chalmers E, Le J, Sukhdeep D, Watt J, Andersen J, Lou E.
    Gait Posture; 2014 Jan 19; 39(1):485-9. PubMed ID: 24050952
    [Abstract] [Full Text] [Related]

  • 11. Real-time gait event detection using wearable sensors.
    Hanlon M, Anderson R.
    Gait Posture; 2009 Nov 19; 30(4):523-7. PubMed ID: 19729307
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  • 17. Monitoring walking and cycling of middle-aged to older community dwellers using wireless wearable accelerometers.
    Zhang Y, Beenakker KG, Butala PM, Lin CC, Little TD, Maier AB, Stijntjes M, Vartanian R, Wagenaar RC.
    Annu Int Conf IEEE Eng Med Biol Soc; 2012 Nov 19; 2012():158-61. PubMed ID: 23365856
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  • 18. Novel methodology for estimating Initial Contact events from accelerometers positioned at different body locations.
    Khandelwal S, Wickström N.
    Gait Posture; 2018 Jan 19; 59():278-285. PubMed ID: 28780277
    [Abstract] [Full Text] [Related]

  • 19. Reliability and validity of a smartphone-based assessment of gait parameters across walking speed and smartphone locations: Body, bag, belt, hand, and pocket.
    Silsupadol P, Teja K, Lugade V.
    Gait Posture; 2017 Oct 19; 58():516-522. PubMed ID: 28961548
    [Abstract] [Full Text] [Related]

  • 20. Feature selection for elderly faller classification based on wearable sensors.
    Howcroft J, Kofman J, Lemaire ED.
    J Neuroeng Rehabil; 2017 May 30; 14(1):47. PubMed ID: 28558724
    [Abstract] [Full Text] [Related]


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