BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

272 related articles for article (PubMed ID: 34335231)

  • 1. 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]  

  • 2. 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]  

  • 3. Enhanced Algorithm for the Detection of Preimpact Fall for Wearable Airbags.
    Jung H; Koo B; Kim J; Kim T; Nam Y; Kim Y
    Sensors (Basel); 2020 Feb; 20(5):. PubMed ID: 32111090
    [TBL] [Abstract][Full Text] [Related]  

  • 4. TinyFallNet: A Lightweight Pre-Impact Fall Detection Model.
    Koo B; Yu X; Lee S; Yang S; Kim D; Xiong S; Kim Y
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896552
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection.
    Zurbuchen N; Wilde A; Bruegger P
    Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33573347
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors.
    Yu X; Qiu H; Xiong S
    Front Bioeng Biotechnol; 2020; 8():63. PubMed ID: 32117941
    [TBL] [Abstract][Full Text] [Related]  

  • 7. PIPTO: Precise Inertial-Based Pipeline for Threshold-Based Fall Detection Using Three-Axis Accelerometers.
    Moutsis SN; Tsintotas KA; Gasteratos A
    Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37766008
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The effect of window size and lead time on pre-impact fall detection accuracy using support vector machine analysis of waist mounted inertial sensor data.
    Aziz O; Russell CM; Park EJ; Robinovitch SN
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():30-3. PubMed ID: 25569889
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A pre-impact fall detection data segmentation method based on multi-channel convolutional neural network and class activation mapping.
    Feng M; Liu J
    Physiol Meas; 2022 Aug; 43(8):. PubMed ID: 35688139
    [No Abstract]   [Full Text] [Related]  

  • 11. 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]  

  • 12. Re-Enactment as a Method to Reproduce Real-World Fall Events Using Inertial Sensor Data: Development and Usability Study.
    Sczuka KS; Schwickert L; Becker C; Klenk J
    J Med Internet Res; 2020 Apr; 22(4):e13961. PubMed ID: 32242825
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A dataset build using wearable inertial measurement and ECG sensors for activity recognition, fall detection and basic heart anomaly detection system.
    Nadeem A; Mehmood A; Rizwan K
    Data Brief; 2019 Dec; 27():104717. PubMed ID: 31886332
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials.
    Aziz O; Musngi M; Park EJ; Mori G; Robinovitch SN
    Med Biol Eng Comput; 2017 Jan; 55(1):45-55. PubMed ID: 27106749
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring.
    Yu S; Chen H; Brown RA
    IEEE J Biomed Health Inform; 2018 Nov; 22(6):1847-1853. PubMed ID: 29990227
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Applications of Metaheuristics for Human Activity Recognition and Fall Detection Using Wearable Sensors: A Comprehensive Analysis.
    Al-Qaness MAA; Helmi AM; Dahou A; Elaziz MA
    Biosensors (Basel); 2022 Oct; 12(10):. PubMed ID: 36290958
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Smart Wearables with Sensor Fusion for Fall Detection in Firefighting.
    Chai X; Wu R; Pike M; Jin H; Chung WY; Lee BG
    Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695983
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.