These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 29996533)

  • 1. 3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the Kinect
    Bonnechère B; Sholukha V; Omelina L; Van Sint Jan S; Jansen B
    Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 29996533
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Effects of Kinect-based virtual reality game training on upper extremity motor recovery in chronic stroke.
    Aşkın A; Atar E; Koçyiğit H; Tosun A
    Somatosens Mot Res; 2018 Mar; 35(1):25-32. PubMed ID: 29529919
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of a robust and cost-effective 3D respiratory motion monitoring system using the kinect device: Accuracy comparison with the conventional stereovision navigation system.
    Bae M; Lee S; Kim N
    Comput Methods Programs Biomed; 2018 Jul; 160():25-32. PubMed ID: 29728243
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Feasibility and efficacy of wearable devices for upper limb rehabilitation in patients with chronic stroke: a randomized controlled pilot study.
    Lin LF; Lin YJ; Lin ZH; Chuang LY; Hsu WC; Lin YH
    Eur J Phys Rehabil Med; 2018 Jun; 54(3):388-396. PubMed ID: 28627862
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Upper Extremity Functional Evaluation by Fugl-Meyer Assessment Scoring Using Depth-Sensing Camera in Hemiplegic Stroke Patients.
    Kim WS; Cho S; Baek D; Bang H; Paik NJ
    PLoS One; 2016; 11(7):e0158640. PubMed ID: 27367518
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Methodological considerations for kinematic analysis of upper limbs in healthy and poststroke adults Part II: a systematic review of motion capture systems and kinematic metrics.
    Mesquita IA; Fonseca PFPD; Pinheiro ARV; Velhote Correia MFP; Silva CICD
    Top Stroke Rehabil; 2019 Sep; 26(6):464-472. PubMed ID: 31064281
    [No Abstract]   [Full Text] [Related]  

  • 7. Validation of a Kinect V2 based rehabilitation game.
    Ma M; Proffitt R; Skubic M
    PLoS One; 2018; 13(8):e0202338. PubMed ID: 30142631
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated functional upper limb evaluation of patients with Friedreich ataxia using serious games rehabilitation exercises.
    Bonnechère B; Jansen B; Haack I; Omelina L; Feipel V; Van Sint Jan S; Pandolfo M
    J Neuroeng Rehabil; 2018 Oct; 15(1):87. PubMed ID: 30286776
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Low-Cost Tracking Systems Allow Fine Biomechanical Evaluation of Upper-Limb Daily-Life Gestures in Healthy People and Post-Stroke Patients.
    Scano A; Molteni F; Molinari Tosatti L
    Sensors (Basel); 2019 Mar; 19(5):. PubMed ID: 30862049
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. A Game-Based Rehabilitation System for Upper-Limb Cerebral Palsy: A Feasibility Study.
    Daoud MI; Alhusseini A; Ali MZ; Alazrai R
    Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32344557
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of upper extremity reachable workspace using Kinect camera.
    Kurillo G; Chen A; Bajcsy R; Han JJ
    Technol Health Care; 2013; 21(6):641-56. PubMed ID: 24284552
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of exercise training effect with different robotic devices for upper limb rehabilitation: a retrospective study.
    Colombo R; Pisano F; Delconte C; Mazzone A; Grioni G; Castagna M; Bazzini G; Imarisio C; Maggioni G; Pistarini C
    Eur J Phys Rehabil Med; 2017 Apr; 53(2):240-248. PubMed ID: 27676203
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Accuracy of Kinect's skeleton tracking for upper body rehabilitation applications.
    Mobini A; Behzadipour S; Saadat Foumani M
    Disabil Rehabil Assist Technol; 2014 Jul; 9(4):344-52. PubMed ID: 23786360
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and preliminary evaluation of a novel low cost VR-based upper limb stroke rehabilitation platform using Wii technology.
    Tsekleves E; Paraskevopoulos IT; Warland A; Kilbride C
    Disabil Rehabil Assist Technol; 2016; 11(5):413-22. PubMed ID: 25391221
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Construction of efficacious gait and upper limb functional interventions based on brain plasticity evidence and model-based measures for stroke patients.
    Daly JJ; Ruff RL
    ScientificWorldJournal; 2007 Dec; 7():2031-45. PubMed ID: 18167618
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Inertial Sensing Based Assessment Methods to Quantify the Effectiveness of Post-Stroke Rehabilitation.
    Li HT; Huang JJ; Pan CW; Chi HI; Pan MC
    Sensors (Basel); 2015 Jul; 15(7):16196-209. PubMed ID: 26153769
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Test-retest reliability of Kinect's measurements for the evaluation of upper body recovery of stroke patients.
    Mobini A; Behzadipour S; Saadat M
    Biomed Eng Online; 2015 Aug; 14():75. PubMed ID: 26238199
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Design and test of a Microsoft Kinect-based system for delivering adaptive visual feedback to stroke patients during training of upper limb movement.
    Simonsen D; Popovic MB; Spaich EG; Andersen OK
    Med Biol Eng Comput; 2017 Nov; 55(11):1927-1935. PubMed ID: 28343334
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Upper extremity movement reliability and validity of the Kinect version 2.
    Reither LR; Foreman MH; Migotsky N; Haddix C; Engsberg JR
    Disabil Rehabil Assist Technol; 2018 Jan; 13(1):54-59. PubMed ID: 28102090
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.