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 *

131 related articles for article (PubMed ID: 31960394)

  • 1. [The Development of Early Warning Systems for Home/Community Elderly Care].
    Pan JI
    Hu Li Za Zhi; 2020 Feb; 67(1):25-32. PubMed ID: 31960394
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Passive in-home health and wellness monitoring: overview, value and examples.
    Alwan M
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():4307-10. PubMed ID: 19964350
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Research on Comprehensive Safety Monitoring System for Elderly Care Based on Artificial Intelligence and Information Fusion].
    Zhang J; Liu T; Yu Y
    Zhongguo Yi Liao Qi Xie Za Zhi; 2022 Nov; 46(6):611-614. PubMed ID: 36597385
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study.
    Nikolaidou M; Kotronis C; Routis I; Politi E; Dimitrakopoulos G; Anagnostopoulos D; Djelouat H; Amira A; Bensaali F
    Health Informatics J; 2021; 27(1):1460458220982640. PubMed ID: 33570009
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Big Picture on the "AI Turn" for Digital Health: The Internet of Things and Cyber-Physical Systems.
    Özdemir V
    OMICS; 2019 Jun; 23(6):308-311. PubMed ID: 31066623
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Does smart home technology prevent falls in community-dwelling older adults: a literature review.
    Pietrzak E; Cotea C; Pullman S
    Inform Prim Care; 2014; 21(3):105-12. PubMed ID: 25207613
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Influence of Optimization Design Based on Artificial Intelligence and Internet of Things on the Electrocardiogram Monitoring System.
    Yin M; Tang R; Liu M; Han K; Lv X; Huang M; Xu P; Hu Y; Ma B; Gai Y
    J Healthc Eng; 2020; 2020():8840910. PubMed ID: 33178407
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fall risk assessment and early-warning for toddler behaviors at home.
    Yang MT; Chuang MW
    Sensors (Basel); 2013 Dec; 13(12):16985-7005. PubMed ID: 24335727
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Special Issue "Internet of Things for Smart Homes".
    You I; Pau G; Salerno VM; Sharma V
    Sensors (Basel); 2019 Sep; 19(19):. PubMed ID: 31561512
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Towards remote monitoring and remotely supervised training.
    Hermens HJ; Vollenbroek-Hutten MM
    J Electromyogr Kinesiol; 2008 Dec; 18(6):908-19. PubMed ID: 19004646
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An Integrated Patient Information and In-Home Health Monitoring System Using Smartphones and Web Services.
    Sorwar G; Ali M; Islam MK; Miah MS
    Stud Health Technol Inform; 2016; 231():119-126. PubMed ID: 27782023
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review.
    Jacob Rodrigues M; Postolache O; Cercas F
    Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32290639
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feasibility and cost-effectiveness of a multidisciplinary home-telehealth intervention programme to reduce falls among elderly discharged from hospital: study protocol for a randomized controlled trial.
    Giordano A; Bonometti GP; Vanoglio F; Paneroni M; Bernocchi P; Comini L; Giordano A
    BMC Geriatr; 2016 Dec; 16(1):209. PubMed ID: 27923343
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A falls prevention programme to improve quality of life, physical function and falls efficacy in older people receiving home help services: study protocol for a randomised controlled trial.
    Bjerk M; Brovold T; Skelton DA; Bergland A
    BMC Health Serv Res; 2017 Aug; 17(1):559. PubMed ID: 28806904
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Personalized Monitoring and Assistive Systems: Case Study of Efficient Home Solutions.
    Lhotska L; Doležal J; Adolf J; Potůček J; Křížek M; Chbani B
    Stud Health Technol Inform; 2018; 249():19-28. PubMed ID: 29866952
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using a Medical Intranet of Things System to Prevent Bed Falls in an Acute Care Hospital: A Pilot Study.
    Balaguera HU; Wise D; Ng CY; Tso HW; Chiang WL; Hutchinson AM; Galvin T; Hilborne L; Hoffman C; Huang CC; Wang CJ
    J Med Internet Res; 2017 May; 19(5):e150. PubMed ID: 28473306
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Older Adults' and Caregivers' Perspectives on In-Home Monitoring Technology.
    Epstein I; Aligato A; Krimmel T; Mihailidis A
    J Gerontol Nurs; 2016 Jun; 42(6):43-50. PubMed ID: 26977706
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Smart homes and home health monitoring technologies for older adults: A systematic review.
    Liu L; Stroulia E; Nikolaidis I; Miguel-Cruz A; Rios Rincon A
    Int J Med Inform; 2016 Jul; 91():44-59. PubMed ID: 27185508
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Patient safety and falls: a qualitative study of home care nurses in Norway.
    Berland A; Gundersen D; Bentsen SB
    Nurs Health Sci; 2012 Dec; 14(4):452-7. PubMed ID: 23043417
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Designing an intelligent health monitoring system and exploring user acceptance for the elderly.
    Tseng KC; Hsu CL; Chuang YH
    J Med Syst; 2013 Dec; 37(6):9967. PubMed ID: 24037138
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.