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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

112 related items for PubMed ID: 27780682

  • 1. Beyond the front end: Investigating a thigh worn accelerometer device for step count and bout detection in Parkinson's disease.
    Godfrey A, Morris R, Hickey A, Del Din S.
    Med Eng Phys; 2016 Dec; 38(12):1524-1529. PubMed ID: 27780682
    [Abstract] [Full Text] [Related]

  • 2. Estimation of Gait Parameters in Huntington's Disease Using Wearable Sensors in the Clinic and Free-living Conditions.
    Lozano-Garcia M, Doheny EP, Mann E, Morgan-Jones P, Drew C, Busse-Morris M, Lowery MM.
    IEEE Trans Neural Syst Rehabil Eng; 2024 Dec; 32():2239-2249. PubMed ID: 38819972
    [Abstract] [Full Text] [Related]

  • 3. Accuracy of wearable physical activity trackers in people with Parkinson's disease.
    Lamont RM, Daniel HL, Payne CL, Brauer SG.
    Gait Posture; 2018 Jun; 63():104-108. PubMed ID: 29729611
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  • 4. Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.
    Kerr J, Carlson J, Godbole S, Cadmus-Bertram L, Bellettiere J, Hartman S.
    Med Sci Sports Exerc; 2018 Jul; 50(7):1518-1524. PubMed ID: 29443824
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  • 5. Estimating bradykinesia severity in Parkinson's disease by analysing gait through a waist-worn sensor.
    Samà A, Pérez-López C, Rodríguez-Martín D, Català A, Moreno-Aróstegui JM, Cabestany J, de Mingo E, Rodríguez-Molinero A.
    Comput Biol Med; 2017 May 01; 84():114-123. PubMed ID: 28351715
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  • 7. Free-living gait characteristics in ageing and Parkinson's disease: impact of environment and ambulatory bout length.
    Del Din S, Godfrey A, Galna B, Lord S, Rochester L.
    J Neuroeng Rehabil; 2016 May 12; 13(1):46. PubMed ID: 27175731
    [Abstract] [Full Text] [Related]

  • 8. Validity of using tri-axial accelerometers to measure human movement - Part II: Step counts at a wide range of gait velocities.
    Fortune E, Lugade V, Morrow M, Kaufman K.
    Med Eng Phys; 2014 Jun 12; 36(6):659-69. PubMed ID: 24656871
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  • 10. Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS).
    Crowley P, Skotte J, Stamatakis E, Hamer M, Aadahl M, Stevens ML, Rangul V, Mork PJ, Holtermann A.
    Int J Behav Nutr Phys Act; 2019 Aug 16; 16(1):65. PubMed ID: 31419998
    [Abstract] [Full Text] [Related]

  • 11. Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis.
    Hickey A, Del Din S, Rochester L, Godfrey A.
    Physiol Meas; 2017 Jan 16; 38(1):N1-N15. PubMed ID: 27941238
    [Abstract] [Full Text] [Related]

  • 12. Validation of a Novel Device to Measure and Provide Feedback on Sedentary Behavior.
    Gill JMR, Hawari NSA, Maxwell DJ, Louden D, Mourselas N, Bunn C, Gray CM, VAN DER Ploeg HP, Hunt K, Martin A, Wyke S, Mutrie N.
    Med Sci Sports Exerc; 2018 Mar 16; 50(3):525-532. PubMed ID: 29040225
    [Abstract] [Full Text] [Related]

  • 13. Contribution of a Trunk Accelerometer System to the Characterization of Gait in Patients With Mild-to-Moderate Parkinson's Disease.
    Demonceau M, Donneau AF, Croisier JL, Skawiniak E, Boutaayamou M, Maquet D, Garraux G.
    IEEE J Biomed Health Inform; 2015 Nov 16; 19(6):1803-8. PubMed ID: 26292350
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  • 15. Auto detection and segmentation of daily living activities during a Timed Up and Go task in people with Parkinson's disease using multiple inertial sensors.
    Nguyen H, Lebel K, Boissy P, Bogard S, Goubault E, Duval C.
    J Neuroeng Rehabil; 2017 Apr 07; 14(1):26. PubMed ID: 28388939
    [Abstract] [Full Text] [Related]

  • 16. A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson's disease.
    Godinho C, Domingos J, Cunha G, Santos AT, Fernandes RM, Abreu D, Gonçalves N, Matthews H, Isaacs T, Duffen J, Al-Jawad A, Larsen F, Serrano A, Weber P, Thoms A, Sollinger S, Graessner H, Maetzler W, Ferreira JJ.
    J Neuroeng Rehabil; 2016 Mar 12; 13():24. PubMed ID: 26969628
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  • 17. Step Detection and Parameterization for Gait Assessment Using a Single Waist-Worn Accelerometer.
    Soaz C, Diepold K.
    IEEE Trans Biomed Eng; 2016 May 12; 63(5):933-942. PubMed ID: 26394415
    [Abstract] [Full Text] [Related]

  • 18. Comparison of two accelerometer filter settings in individuals with Parkinson's disease.
    Wallén MB, Nero H, Franzén E, Hagströmer M.
    Physiol Meas; 2014 Nov 12; 35(11):2287-96. PubMed ID: 25340812
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  • 20. Accelerometer output and its association with energy expenditure in persons with mild-to-moderate Parkinson's disease.
    Jeng B, Cederberg KLJ, Lai B, Sasaki JE, Bamman MM, Motl RW.
    PLoS One; 2020 Nov 12; 15(11):e0242136. PubMed ID: 33175904
    [Abstract] [Full Text] [Related]

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