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 *

94 related articles for article (PubMed ID: 30416703)

  • 1. Indication of Mental Health from Fingertip Pulse Waves and Its Application.
    Oyama-Higa M; Ou F
    J Healthc Eng; 2018; 2018():7696458. PubMed ID: 30416703
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Nonlinear characteristics of heart rate time series: influence of three recumbent positions in patients with mild or severe coronary artery disease.
    Kim WS; Yoon YZ; Bae JH; Soh KS
    Physiol Meas; 2005 Aug; 26(4):517-29. PubMed ID: 15886445
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated diagnosis of normal and alcoholic EEG signals.
    Acharya UR; Sree SV; Chattopadhyay S; Suri JS
    Int J Neural Syst; 2012 Jun; 22(3):1250011. PubMed ID: 23627627
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Linear and non-linear properties of heart rate in postnatal maturation.
    Mrowka R; Patzak A; Schubert E; Persson PB
    Cardiovasc Res; 1996 Mar; 31(3):447-54. PubMed ID: 8681332
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A fast sample entropy for pulse rate variability analysis.
    Chou L; Gong S; Yang H; Liu J; Chou Y
    Med Biol Eng Comput; 2023 Jul; 61(7):1603-1617. PubMed ID: 36826631
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Estimation of the largest Lyapunov exponent of the HRV signals].
    Han Q; Wang P
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Aug; 24(4):732-5. PubMed ID: 17899733
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonlinear and chaos characteristics of heart period time series: healthy aging and postural change.
    Vuksanović V; Gal V
    Auton Neurosci; 2005 Aug; 121(1-2):94-100. PubMed ID: 16055389
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of arteriosclerosis based on multiscale cross approximate entropy of human finger pulse wave.
    Ta N; Wei HC; Li MM
    Technol Health Care; 2022; 30(6):1359-1369. PubMed ID: 35599519
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Nonlinear analysis of EEG signals at different mental states.
    Natarajan K; Acharya U R; Alias F; Tiboleng T; Puthusserypady SK
    Biomed Eng Online; 2004 Mar; 3(1):7. PubMed ID: 15023233
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Nonlinear measures of heart rate time series: influence of posture and controlled breathing.
    Radhakrishna RK; Dutt DN; Yeragani VK
    Auton Neurosci; 2000 Oct; 83(3):148-58. PubMed ID: 11593766
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validation of a New Heart Rate Measurement Algorithm for Fingertip Recording of Video Signals with Smartphones.
    Koenig N; Seeck A; Eckstein J; Mainka A; Huebner T; Voss A; Weber S
    Telemed J E Health; 2016 Aug; 22(8):631-6. PubMed ID: 26938673
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Non-linear dynamics and chaotic indices in heart rate variability of normal subjects and heart-transplanted patients.
    Guzzetti S; Signorini MG; Cogliati C; Mezzetti S; Porta A; Cerutti S; Malliani A
    Cardiovasc Res; 1996 Mar; 31(3):441-6. PubMed ID: 8681331
    [TBL] [Abstract][Full Text] [Related]  

  • 13. State Anxiety and Nonlinear Dynamics of Heart Rate Variability in Students.
    Dimitriev DA; Saperova EV; Dimitriev AD
    PLoS One; 2016; 11(1):e0146131. PubMed ID: 26807793
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The identification of critical fluctuations and phase transitions in short term and coarse-grained time series-a method for the real-time monitoring of human change processes.
    Schiepek G; Strunk G
    Biol Cybern; 2010 Mar; 102(3):197-207. PubMed ID: 20084517
    [TBL] [Abstract][Full Text] [Related]  

  • 15. FPGA-based design and implementation of arterial pulse wave generator using piecewise Gaussian-cosine fitting.
    Wang L; Xu L; Zhao D; Yao Y; Song D
    Comput Biol Med; 2015 Apr; 59():142-151. PubMed ID: 25732778
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated identification of normal and diabetes heart rate signals using nonlinear measures.
    Rajendra Acharya U; Faust O; Adib Kadri N; Suri JS; Yu W
    Comput Biol Med; 2013 Oct; 43(10):1523-9. PubMed ID: 24034744
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of multiscale Poincaré short-time computation versus multiscale entropy in analyzing fingertip photoplethysmogram amplitudes to differentiate diabetic from non-diabetic subjects.
    Haryadi B; Liou JJ; Wei HC; Xiao MX; Wu HT; Sun CK
    Comput Methods Programs Biomed; 2018 Nov; 166():115-121. PubMed ID: 30415711
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Analysis of short-term heart rate and diastolic period variability using a refined fuzzy entropy method.
    Ji L; Li P; Li K; Wang X; Liu C
    Biomed Eng Online; 2015 Jul; 14():64. PubMed ID: 26126807
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Determination of largest Lyapunov exponents of vocal signal: application to unilateral laryngeal paralysis.
    Giovanni A; Ouaknine M; Triglia JM
    J Voice; 1999 Sep; 13(3):341-54. PubMed ID: 10498051
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Nonlinear dynamical complexity analysis of short-term heartbeat series using joint entropy].
    Li J; Ning X; Ma O
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Apr; 24(2):285-9. PubMed ID: 17591243
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.