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 *

200 related articles for article (PubMed ID: 28117691)

  • 1. SisFall: A Fall and Movement Dataset.
    Sucerquia A; López JD; Vargas-Bonilla JF
    Sensors (Basel); 2017 Jan; 17(1):. PubMed ID: 28117691
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Real-Life/Real-Time Elderly Fall Detection with a Triaxial Accelerometer.
    Sucerquia A; López JD; Vargas-Bonilla JF
    Sensors (Basel); 2018 Apr; 18(4):. PubMed ID: 29621156
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning.
    Althobaiti T; Katsigiannis S; Ramzan N
    Sensors (Basel); 2020 Jul; 20(13):. PubMed ID: 32640526
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fall-detection solution for mobile platforms using accelerometer and gyroscope data.
    De Cillisy F; De Simioy F; Guidoy F; Incalzi RA; Setolay R
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():3727-30. PubMed ID: 26737103
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Threshold-based fall detection using a hybrid of tri-axial accelerometer and gyroscope.
    Wang FT; Chan HL; Hsu MH; Lin CK; Chao PK; Chang YJ
    Physiol Meas; 2018 Oct; 39(10):105002. PubMed ID: 30207983
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design.
    Zhang J; Li Z; Liu Y; Li J; Qiu H; Li M; Hou G; Zhou Z
    J Med Internet Res; 2024 Aug; 26():e56750. PubMed ID: 39102676
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Analysis of Public Datasets for Wearable Fall Detection Systems.
    Casilari E; Santoyo-Ramón JA; Cano-García JM
    Sensors (Basel); 2017 Jun; 17(7):. PubMed ID: 28653991
    [TBL] [Abstract][Full Text] [Related]  

  • 8. NT-FDS-A Noise Tolerant Fall Detection System Using Deep Learning on Wearable Devices.
    Waheed M; Afzal H; Mehmood K
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33809080
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluation of Inertial Sensor-Based Pre-Impact Fall Detection Algorithms Using Public Dataset.
    Ahn S; Kim J; Koo B; Kim Y
    Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30781886
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor.
    Bourke AK; Lyons GM
    Med Eng Phys; 2008 Jan; 30(1):84-90. PubMed ID: 17222579
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comparison of activity classification in younger and older cohorts using a smartphone.
    Del Rosario MB; Wang K; Wang J; Liu Y; Brodie M; Delbaere K; Lovell NH; Lord SR; Redmond SJ
    Physiol Meas; 2014 Nov; 35(11):2269-86. PubMed ID: 25340659
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Study of One-Class Classification Algorithms for Wearable Fall Sensors.
    Santoyo-Ramón JA; Casilari E; Cano-García JM
    Biosensors (Basel); 2021 Aug; 11(8):. PubMed ID: 34436087
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Learning-Based Near-Fall Detection Algorithm for Fall Risk Monitoring System Using a Single Inertial Measurement Unit.
    Choi A; Kim TH; Yuhai O; Jeong S; Kim K; Kim H; Mun JH
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2385-2394. PubMed ID: 35969550
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Large-Scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors.
    Yu X; Jang J; Xiong S
    Front Aging Neurosci; 2021; 13():692865. PubMed ID: 34335231
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor.
    Ejupi A; Galang C; Aziz O; Park EJ; Robinovitch S
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2150-2153. PubMed ID: 29060322
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Wrist-Based Fall Detection: Towards Generalization across Datasets.
    Fula V; Moreno P
    Sensors (Basel); 2024 Mar; 24(5):. PubMed ID: 38475215
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dataset for human fall recognition in an uncontrolled environment.
    Guerrero JCE; España EM; Añasco MM; Lopera JEP
    Data Brief; 2022 Dec; 45():108610. PubMed ID: 36164302
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A cross-dataset deep learning-based classifier for people fall detection and identification.
    Delgado-Escaño R; Castro FM; Cózar JR; Marín-Jiménez MJ; Guil N; Casilari E
    Comput Methods Programs Biomed; 2020 Feb; 184():105265. PubMed ID: 31881399
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Event-Centered Data Segmentation in Accelerometer-Based Fall Detection Algorithms.
    Šeketa G; Pavlaković L; Džaja D; Lacković I; Magjarević R
    Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34202820
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Use of Average Vertical Velocity and Difference in Altitude for Improving Automatic Fall Detection from Trunk Based Inertial and Barometric Pressure Measurements.
    Musngi MM; Aziz O; Zihajehzadeh S; Nazareth GC; Tae CG; Park EJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5146-5149. PubMed ID: 30441498
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.