BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

322 related articles for article (PubMed ID: 28902149)

  • 21. Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: a machine learning approach.
    Bourke AK; Klenk J; Schwickert L; Aminian K; Ihlen EA; Mellone S; Helbostad JL; Chiari L; Becker C
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3712-3715. PubMed ID: 28269098
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications.
    Shawen N; Lonini L; Mummidisetty CK; Shparii I; Albert MV; Kording K; Jayaraman A
    JMIR Mhealth Uhealth; 2017 Oct; 5(10):e151. PubMed ID: 29021127
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Detecting falls as novelties in acceleration patterns acquired with smartphones.
    Medrano C; Igual R; Plaza I; Castro M
    PLoS One; 2014; 9(4):e94811. PubMed ID: 24736626
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Innovative Head-Mounted System Based on Inertial Sensors and Magnetometer for Detecting Falling Movements.
    Lin CL; Chiu WC; Chu TC; Ho YH; Chen FH; Hsu CC; Hsieh PH; Chen CH; Lin CK; Sung PS; Chen PT
    Sensors (Basel); 2020 Oct; 20(20):. PubMed ID: 33053827
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. A comparison of automatic fall detection by the cross-product and magnitude of tri-axial acceleration.
    Chao PK; Chan HL; Tang FT; Chen YC; Wong MK
    Physiol Meas; 2009 Oct; 30(10):1027-37. PubMed ID: 19713595
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Multi-Sensor Data Fusion in A Real-Time Support System for On-Duty Firefighters.
    Pham VT; Le QB; Nguyen DA; Dang ND; Huynh HT; Tran DT
    Sensors (Basel); 2019 Nov; 19(21):. PubMed ID: 31683797
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Inertial sensing-based pre-impact detection of falls involving near-fall scenarios.
    Lee JK; Robinovitch SN; Park EJ
    IEEE Trans Neural Syst Rehabil Eng; 2015 Mar; 23(2):258-66. PubMed ID: 25252283
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Evaluation of accelerometer-based fall detection algorithms on real-world falls.
    Bagalà F; Becker C; Cappello A; Chiari L; Aminian K; Hausdorff JM; Zijlstra W; Klenk J
    PLoS One; 2012; 7(5):e37062. PubMed ID: 22615890
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets.
    Aziz O; Klenk J; Schwickert L; Chiari L; Becker C; Park EJ; Mori G; Robinovitch SN
    PLoS One; 2017; 12(7):e0180318. PubMed ID: 28678808
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Detection of falls using accelerometers and mobile phone technology.
    Lee RY; Carlisle AJ
    Age Ageing; 2011 Nov; 40(6):690-6. PubMed ID: 21596711
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Fall Detection for the Elderly Based on 3-Axis Accelerometer and Depth Sensor Fusion with Random Forest Classifier.
    Kim K; Yun G; Park SK; Kim DH
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4611-4614. PubMed ID: 31946891
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Pre-impact Alarm System for Fall Detection Using MEMS Sensors and HMM-based SVM Classifier.
    Liang S; Chu T; Lin D; Ning Y; Li H; Zhao G
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():4401-4405. PubMed ID: 30441328
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A wearable airbag to prevent fall injuries.
    Tamura T; Yoshimura T; Sekine M; Uchida M; Tanaka O
    IEEE Trans Inf Technol Biomed; 2009 Nov; 13(6):910-4. PubMed ID: 19846379
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Software simulation of unobtrusive falls detection at night-time using passive infrared and pressure mat sensors.
    Ariani A; Redmond SJ; Chang D; Lovell NH
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():2115-8. PubMed ID: 21096573
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Optimum gravity vector and vertical acceleration estimation using a tri-axial accelerometer for falls and normal activities.
    Bourke AK; O'Donovan K; Clifford A; ÓLaighin G; Nelson J
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():7896-9. PubMed ID: 22256171
    [TBL] [Abstract][Full Text] [Related]  

  • 39. An Unobtrusive Fall Detection and Alerting System Based on Kalman Filter and Bayes Network Classifier.
    He J; Bai S; Wang X
    Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28621709
    [TBL] [Abstract][Full Text] [Related]  

  • 40. iFall: an Android application for fall monitoring and response.
    Sposaro F; Tyson G
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6119-22. PubMed ID: 19965264
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.