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 *

128 related articles for article (PubMed ID: 22942068)

  • 1. JIM: a novel and efficient accelerometric magnitude to measure physical activity.
    Carús JL; Peláez V; López G; Lobato V
    Stud Health Technol Inform; 2012; 177():283-8. PubMed ID: 22942068
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The application of EMD in activity recognition based on a single triaxial accelerometer.
    Liao M; Guo Y; Qin Y; Wang Y
    Biomed Mater Eng; 2015; 26 Suppl 1():S1533-9. PubMed ID: 26405917
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Adaptive and wavelet filtering methods for improving accuracy of respiratory measurement.
    Keenan DB; Wilhelm FH
    Biomed Sci Instrum; 2005; 41():37-42. PubMed ID: 15850079
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Inclination measurement of human movement using a 3-D accelerometer with autocalibration.
    Luinge HJ; Veltink PH
    IEEE Trans Neural Syst Rehabil Eng; 2004 Mar; 12(1):112-21. PubMed ID: 15068194
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Rate estimation for the monitoring of rehabilitation exercises.
    Weng K; Nguyen N; Nguyen HT; Su S
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6267-70. PubMed ID: 19963669
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Unsupervised abnormal human behaviour detection using acceleration data.
    Carús JL; Peláez V; López G; Fernández MÁ; Alvarez E; Díaz G
    Stud Health Technol Inform; 2013; 189():65-70. PubMed ID: 23739359
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SoM: a smart sensor for human activity monitoring and assisted healthy ageing.
    Naranjo-Hernández D; Roa LM; Reina-Tosina J; Estudillo-Valderrama MÁ
    IEEE Trans Biomed Eng; 2012 Nov; 59(11):3177-84. PubMed ID: 23086195
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A symbol-based approach to gait analysis from acceleration signals: identification and detection of gait events and a new measure of gait symmetry.
    Sant'anna A; Wickström N
    IEEE Trans Inf Technol Biomed; 2010 Sep; 14(5):1180-7. PubMed ID: 20371410
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A description of an accelerometer-based mobility monitoring technique.
    Lyons GM; Culhane KM; Hilton D; Grace PA; Lyons D
    Med Eng Phys; 2005 Jul; 27(6):497-504. PubMed ID: 15990066
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Continuous monitoring of cardiac output from TCG signals.
    Keenan DB
    Biomed Sci Instrum; 2004; 40():343-9. PubMed ID: 15133982
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A continuous wavelet transform and classification method for delirium motoric subtyping.
    Godfrey A; Conway R; Leonard M; Meagher D; Olaighin GM
    IEEE Trans Neural Syst Rehabil Eng; 2009 Jun; 17(3):298-307. PubMed ID: 19497833
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Physical activity classification for elderly based on pulse rate.
    Ahmed MU; Loutfi A
    Stud Health Technol Inform; 2013; 189():152-7. PubMed ID: 23739375
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Classification of periodic activities using the Wasserstein distance.
    Oudre L; Jakubowicz J; Bianchi P; Simon C
    IEEE Trans Biomed Eng; 2012 Jun; 59(6):1610-9. PubMed ID: 22434794
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Single-accelerometer-based daily physical activity classification.
    Long X; Yin B; Aarts RM
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6107-10. PubMed ID: 19965261
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Where to wear accelerometers to measure physical activity in people?
    Thaler-Kall K; Tusker F; Hermsdörfer J; Gorzelniak L; Horsch A
    Stud Health Technol Inform; 2013; 192():1045. PubMed ID: 23920819
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A wearable sensor module with a neural-network-based activity classification algorithm for daily energy expenditure estimation.
    Lin CW; Yang YT; Wang JS; Yang YC
    IEEE Trans Inf Technol Biomed; 2012 Sep; 16(5):991-8. PubMed ID: 22875251
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying types of physical activity with a single accelerometer: evaluating laboratory-trained algorithms in daily life.
    Gyllensten IC; Bonomi AG
    IEEE Trans Biomed Eng; 2011 Sep; 58(9):2656-63. PubMed ID: 21712150
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Classification of locomotor activity by acceleration measurement: validation in Parkinson disease.
    Keenan DB; Wilhelm FH
    Biomed Sci Instrum; 2005; 41():329-34. PubMed ID: 15850127
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accurate prediction of energy expenditure using a shoe-based activity monitor.
    Sazonova N; Browning RC; Sazonov E
    Med Sci Sports Exerc; 2011 Jul; 43(7):1312-21. PubMed ID: 21131868
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Validity of a Trunk-Mounted Accelerometer to Measure Physical Collisions in Contact Sports.
    Wundersitz DW; Gastin PB; Robertson SJ; Netto KJ
    Int J Sports Physiol Perform; 2015 Sep; 10(6):681-6. PubMed ID: 25849648
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.