BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

283 related articles for article (PubMed ID: 28408157)

  • 1. Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson's disease.
    Eltoukhy M; Kuenze C; Oh J; Jacopetti M; Wooten S; Signorile J
    Med Eng Phys; 2017 Jun; 44():1-7. PubMed ID: 28408157
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Gait assessment using the Microsoft Xbox One Kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables.
    Mentiplay BF; Perraton LG; Bower KJ; Pua YH; McGaw R; Heywood S; Clark RA
    J Biomech; 2015 Jul; 48(10):2166-70. PubMed ID: 26065332
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of ground reaction forces for Parkinson's disease patients using a kinect-driven musculoskeletal gait analysis model.
    Eltoukhy M; Kuenze C; Andersen MS; Oh J; Signorile J
    Med Eng Phys; 2017 Dec; 50():75-82. PubMed ID: 29102274
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Validity of the Microsoft Kinect
    Oh J; Kuenze C; Jacopetti M; Signorile JF; Eltoukhy M
    Med Eng Phys; 2018 Oct; 60():70-76. PubMed ID: 30097314
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improved kinect-based spatiotemporal and kinematic treadmill gait assessment.
    Eltoukhy M; Oh J; Kuenze C; Signorile J
    Gait Posture; 2017 Jan; 51():77-83. PubMed ID: 27721202
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Concurrent validity of the Microsoft Kinect for Windows v2 for measuring spatiotemporal gait parameters.
    Dolatabadi E; Taati B; Mihailidis A
    Med Eng Phys; 2016 Sep; 38(9):952-8. PubMed ID: 27387901
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using Kinect to classify Parkinson's disease stages related to severity of gait impairment.
    Dranca L; de Abetxuko Ruiz de Mendarozketa L; Goñi A; Illarramendi A; Navalpotro Gomez I; Delgado Alvarado M; Rodríguez-Oroz MC
    BMC Bioinformatics; 2018 Dec; 19(1):471. PubMed ID: 30526473
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Validity of time series kinematical data as measured by a markerless motion capture system on a flatland for gait assessment.
    Tanaka R; Takimoto H; Yamasaki T; Higashi A
    J Biomech; 2018 Apr; 71():281-285. PubMed ID: 29475751
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Kinematic Validation of a Multi-Kinect v2 Instrumented 10-Meter Walkway for Quantitative Gait Assessments.
    Geerse DJ; Coolen BH; Roerdink M
    PLoS One; 2015; 10(10):e0139913. PubMed ID: 26461498
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Objective Arm Swing Analysis in Early-Stage Parkinson's Disease Using an RGB-D Camera (Kinect®).
    Ospina BM; Chaparro JAV; Paredes JDA; Pino YJC; Navarro A; Orozco JL
    J Parkinsons Dis; 2018; 8(4):563-570. PubMed ID: 30149466
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Reliability and comparison of Kinect-based methods for estimating spatiotemporal gait parameters of healthy and post-stroke individuals.
    Latorre J; Llorens R; Colomer C; Alcañiz M
    J Biomech; 2018 Apr; 72():268-273. PubMed ID: 29567306
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gait analysis and clinical correlations in early Parkinson's disease.
    Pistacchi M; Gioulis M; Sanson F; De Giovannini E; Filippi G; Rossetto F; Zambito Marsala S
    Funct Neurol; 2017; 32(1):28-34. PubMed ID: 28380321
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables.
    Clark RA; Bower KJ; Mentiplay BF; Paterson K; Pua YH
    J Biomech; 2013 Oct; 46(15):2722-5. PubMed ID: 24016679
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.
    Buongiorno D; Bortone I; Cascarano GD; Trotta GF; Brunetti A; Bevilacqua V
    BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 9):243. PubMed ID: 31830986
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease.
    Galna B; Barry G; Jackson D; Mhiripiri D; Olivier P; Rochester L
    Gait Posture; 2014 Apr; 39(4):1062-8. PubMed ID: 24560691
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Kin-FOG: Automatic Simulated Freezing of Gait (FOG) Assessment System for Parkinson's Disease.
    Soltaninejad S; Cheng I; Basu A
    Sensors (Basel); 2019 May; 19(10):. PubMed ID: 31137825
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study.
    Albert JA; Owolabi V; Gebel A; Brahms CM; Granacher U; Arnrich B
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32911651
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke.
    Latorre J; Colomer C; Alcañiz M; Llorens R
    J Neuroeng Rehabil; 2019 Jul; 16(1):97. PubMed ID: 31349868
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A reliability assessment software using Kinect to complement the clinical evaluation of Parkinson's disease.
    Arango Paredes JD; Muñoz B; Agredo W; Ariza-Araújo Y; Orozco JL; Navarro A
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6860-3. PubMed ID: 26737869
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis.
    Pfister A; West AM; Bronner S; Noah JA
    J Med Eng Technol; 2014 Jul; 38(5):274-80. PubMed ID: 24878252
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.