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 *

115 related articles for article (PubMed ID: 28479561)

  • 1. A Hybrid Algorithm for Fall Detection.
    Turkeli S; Elmas F; Atay HT; Kurt KK; Sonmez RY
    Stud Health Technol Inform; 2017; 237():163-168. PubMed ID: 28479561
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Creating an IOT That Notifies Concerned People for the Falls of Geriatric Patients.
    Turkeli S; Kurt KK; Catamak A; Sonmez RY; Atay HT
    Stud Health Technol Inform; 2016; 224():105-7. PubMed ID: 27225562
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Selecting Power-Efficient Signal Features for a Low-Power Fall Detector.
    Wang C; Redmond SJ; Lu W; Stevens MC; Lord SR; Lovell NH
    IEEE Trans Biomed Eng; 2017 Nov; 64(11):2729-2736. PubMed ID: 28212076
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Low-Power Fall Detector Balancing Sensitivity and False Alarm Rate.
    Wang C; Lu W; Redmond SJ; Stevens MC; Lord SR; Lovell NH
    IEEE J Biomed Health Inform; 2018 Nov; 22(6):1929-1937. PubMed ID: 29990072
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Patient-Specific Single Sensor IoT-Based Wearable Fall Prediction and Detection System.
    Saadeh W; Butt SA; Altaf MAB
    IEEE Trans Neural Syst Rehabil Eng; 2019 May; 27(5):995-1003. PubMed ID: 30998473
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Covariance matrix based fall detection from multiple wearable sensors.
    Boutellaa E; Kerdjidj O; Ghanem K
    J Biomed Inform; 2019 Jun; 94():103189. PubMed ID: 31029654
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Home Camera-Based Fall Detection System for the Elderly.
    de Miguel K; Brunete A; Hernando M; Gambao E
    Sensors (Basel); 2017 Dec; 17(12):. PubMed ID: 29232846
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An elderly fall detection using a wrist-worn accelerometer and barometer.
    Jatesiktat P; Wei Tech Ang
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():125-130. PubMed ID: 29059826
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location.
    Alves J; Silva J; Grifo E; Resende C; Sousa I
    Sensors (Basel); 2019 May; 19(11):. PubMed ID: 31141885
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors.
    Zhang J; Li J; Wang W
    Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640830
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An Enhanced Ensemble Deep Neural Network Approach for Elderly Fall Detection System Based on Wearable Sensors.
    Mohammad Z; Anwary AR; Mridha MF; Shovon MSH; Vassallo M
    Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430686
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fall Recognition Based on an IMU Wearable Device and Fall Verification through a Smart Speaker and the IoT.
    Lin HC; Chen MJ; Lee CH; Kung LC; Huang JT
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420638
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A wearable action recognition system based on acceleration and attitude angles using real-time detection algorithm.
    Bo Wang ; Xie Ni ; Guoru Zhao ; Yingnan Ma ; Xing Gao ; Huiqi Li ; Cuiju Xiong ; Lei Wang ; Shengyun Liang
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2385-2389. PubMed ID: 29060378
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Wearable Fall Detector Using Recurrent Neural Networks.
    Luna-Perejón F; Domínguez-Morales MJ; Civit-Balcells A
    Sensors (Basel); 2019 Nov; 19(22):. PubMed ID: 31717442
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sensitivity and specificity of fall detection in people aged 40 years and over.
    Kangas M; Vikman I; Wiklander J; Lindgren P; Nyberg L; Jämsä T
    Gait Posture; 2009 Jun; 29(4):571-4. PubMed ID: 19153043
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Disentangling the health benefits of walking from increased exposure to falls in older people using remote gait monitoring and multi-dimensional analysis.
    Brodie MA; Okubo Y; Annegarn J; Wieching R; Lord SR; Delbaere K
    Physiol Meas; 2017 Jan; 38(1):45-62. PubMed ID: 27941237
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Optimization and Technical Validation of the AIDE-MOI Fall Detection Algorithm in a Real-Life Setting with Older Adults.
    Scheurer S; Koch J; Kucera M; Bryn H; Bärtschi M; Meerstetter T; Nef T; Urwyler P
    Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30889925
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Concurrent validation of an index to estimate fall risk in community dwelling seniors through a wireless sensor insole system: A pilot study.
    Di Rosa M; Hausdorff JM; Stara V; Rossi L; Glynn L; Casey M; Burkard S; Cherubini A
    Gait Posture; 2017 Jun; 55():6-11. PubMed ID: 28407507
    [TBL] [Abstract][Full Text] [Related]  

  • 19. UHF wearable battery free sensor module for activity and falling detection.
    Nam Trung Dang ; Thang Viet Tran ; Wan-Young Chung
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4812-4815. PubMed ID: 28269347
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Implementation of a real-time fall detection system based on hybrid threshold analysis algorithm and machine learning algorithm.
    Xu Y; He Z; Zhang X; Li D; Li R; Ni W
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():4205-4209. PubMed ID: 36085845
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.