BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 26484884)

  • 1. The untapped potential of smartphone sensors for stroke rehabilitation and after-care.
    Zhang MW; Chew PY; Yeo LL; Ho RC
    Technol Health Care; 2016; 24(1):139-43. PubMed ID: 26484884
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Evolution of Personalized Behavioral Intervention Technology: Will It Change How We Measure or Deliver Rehabilitation?
    Dobkin BH; Dorsch AK
    Stroke; 2017 Aug; 48(8):2329-2334. PubMed ID: 28679855
    [No Abstract]   [Full Text] [Related]  

  • 3. Medical Mobile Applications for Stroke Survivors and Caregivers.
    Piran P; Thomas J; Kunnakkat S; Pandey A; Gilles N; Weingast S; Burton D; Balucani C; Levine SR;
    J Stroke Cerebrovasc Dis; 2019 Nov; 28(11):104318. PubMed ID: 31416761
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Evaluation of the feasibility and acceptability of the 'Care for Stroke' intervention in India, a smartphone-enabled, carer-supported, educational intervention for management of disability following stroke.
    Sureshkumar K; Murthy G; Natarajan S; Naveen C; Goenka S; Kuper H
    BMJ Open; 2016 Feb; 6(2):e009243. PubMed ID: 26839011
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of a smartphone human activity recognition application with able-bodied and stroke participants.
    Capela NA; Lemaire ED; Baddour N; Rudolf M; Goljar N; Burger H
    J Neuroeng Rehabil; 2016 Jan; 13():5. PubMed ID: 26792670
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Harnessing smartphone technology and three dimensional printing to create a mobile rehabilitation system, mRehab: assessment of usability and consistency in measurement.
    Bhattacharjya S; Stafford MC; Cavuoto LA; Yang Z; Song C; Subryan H; Xu W; Langan J
    J Neuroeng Rehabil; 2019 Oct; 16(1):127. PubMed ID: 31665036
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Harnessing the potential of the Kinect sensor for psychiatric rehabilitation for stroke survivors.
    Zhang MW; Ho RC
    Technol Health Care; 2016 Mar; 24(4):599-602. PubMed ID: 27061386
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Pilot implementation and user preferences of a Bariatric After-care application.
    Zhang MW; Ho RC; Hawa R; Sockalingam S
    Technol Health Care; 2015; 23(6):729-36. PubMed ID: 26409513
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Global outreach and user preferences of a smartphone application developed for drinkers.
    Zhang MW; Fang P; Ho RC
    Technol Health Care; 2016 Jul; 24(4):495-501. PubMed ID: 26890229
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Methodology of development of a Delirium clinical application and initial feasibility results.
    Zhang MW; Ho RC; Sockalingam S
    Technol Health Care; 2015; 23(4):411-7. PubMed ID: 25735309
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The `WikiGuidelines' smartphone application: Bridging the gaps in availability of evidence-based smartphone mental health applications.
    Zhang MW; Ho RC; Mcintyre RS
    Technol Health Care; 2016 Jul; 24(4):587-90. PubMed ID: 26890227
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone application.
    Jiang Y; Guarino P; Ma S; Simon S; Mayo MS; Raghavan R; Gajewski BJ
    Trials; 2016 Jul; 17(1):336. PubMed ID: 27449769
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Acquisition and analysis of cardiovascular signals on smartphones: potential, pitfalls and perspectives: by the Task Force of the e-Cardiology Working Group of European Society of Cardiology.
    Bruining N; Caiani E; Chronaki C; Guzik P; van der Velde E;
    Eur J Prev Cardiol; 2014 Nov; 21(2 Suppl):4-13. PubMed ID: 25354948
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Enhancement of Neurocognitive Assessments Using Smartphone Capabilities: Systematic Review.
    Templeton JM; Poellabauer C; Schneider S
    JMIR Mhealth Uhealth; 2020 Jun; 8(6):e15517. PubMed ID: 32442150
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Developing movement recognition application with the use of Shimmer sensor and Microsoft Kinect sensor.
    Guzsvinecz T; Szucs V; Sik Lányi C
    Stud Health Technol Inform; 2015; 217():767-72. PubMed ID: 26294561
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of Smartphone Inertial Sensor Performance for Cross-Platform Mobile Applications.
    Kos A; Tomažič S; Umek A
    Sensors (Basel); 2016 Apr; 16(4):. PubMed ID: 27049391
    [TBL] [Abstract][Full Text] [Related]  

  • 17. How has the impact of 'care pathway technologies' on service integration in stroke care been measured and what is the strength of the evidence to support their effectiveness in this respect?
    Allen D; Rixson L
    Int J Evid Based Healthc; 2008 Mar; 6(1):78-110. PubMed ID: 21631815
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Risk Prevention of Spreading Emerging Infectious Diseases Using a HybridCrowdsensing Paradigm, Optical Sensors, and Smartphone.
    Edoh T
    J Med Syst; 2018 Apr; 42(5):91. PubMed ID: 29633021
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Application and Development of Rehabilitation System of Intelligent Lower Limb Rehabilitation Based on Intelligent Medical Treatment].
    Gao Y; Guo Y; Tian X; Tang X; Zhang Y
    Zhongguo Yi Liao Qi Xie Za Zhi; 2019 May; 43(3):179-182. PubMed ID: 31184074
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MyHealthAssistant: an event-driven middleware for multiple medical applications on a smartphone-mediated body sensor network.
    Seeger C; Van Laerhoven K; Buchmann A
    IEEE J Biomed Health Inform; 2015 Mar; 19(2):752-60. PubMed ID: 24876136
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.