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 *

164 related articles for article (PubMed ID: 34891592)

  • 1. PPG-Based Respiratory Rate Monitoring Using Hybrid Vote-Aggregate Fusion Technique.
    Haddad S; Boukhayma A; Caizzone A
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1605-1608. PubMed ID: 34891592
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimating instantaneous respiratory rate from the photoplethysmogram.
    Dehkordi P; Garde A; Molavi B; Petersen CL; Ansermino JM; Dumont GA
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6150-3. PubMed ID: 26737696
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Respiratory rate monitoring from the photoplethysmogram via sparse signal reconstruction.
    Zhang X; Ding Q
    Physiol Meas; 2016 Jul; 37(7):1105-19. PubMed ID: 27319303
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate.
    Zhang J; Scebba G; Karlen W
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():5939-5942. PubMed ID: 33019326
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram.
    Zhu T; Pimentel MA; Clifford GD; Clifton DA
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6138-41. PubMed ID: 26737693
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A pulse transit time based fusion method for the noninvasive and continuous monitoring of respiratory rate.
    Xiao-Rong Ding ; Yuan-Ting Zhang ; Hon Ki Tsang ; Karlen W
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4240-4243. PubMed ID: 28269218
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram.
    Charlton PH; Bonnici T; Tarassenko L; Clifton DA; Beale R; Watkinson PJ
    Physiol Meas; 2016 Apr; 37(4):610-26. PubMed ID: 27027672
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions.
    Jarchi D; Salvi D; Tarassenko L; Clifton DA
    Sensors (Basel); 2018 Oct; 18(11):. PubMed ID: 30384462
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Heart Rate Extraction from Novel Neck Photoplethysmography Signals.
    Garcia-Lopez I; Sharma P; Rodriguez-Villegas E
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6541-6544. PubMed ID: 31947340
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An EEMD-PCA approach to extract heart rate, respiratory rate and respiratory activity from PPG signal.
    Motin MA; Karmakar CK; Palaniswami M
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3817-3820. PubMed ID: 28269118
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Whale Optimization Algorithm with a Hybrid Relation Vector Machine: A Highly Robust Respiratory Rate Prediction Model Using Photoplethysmography Signals.
    Dong X; Wang Z; Cao L; Chen Z; Liang Y
    Diagnostics (Basel); 2023 Feb; 13(5):. PubMed ID: 36900057
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel computational signal processing framework towards multimodal vital signs extraction using neck-worn wearable devices.
    Abdulsadig RS; Rodriguez-Villegas E
    Sci Rep; 2024 Sep; 14(1):22368. PubMed ID: 39333140
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram.
    Garde A; Karlen W; Ansermino JM; Dumont GA
    PLoS One; 2014; 9(1):e86427. PubMed ID: 24466088
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ensemble Empirical Mode Decomposition With Principal Component Analysis: A Novel Approach for Extracting Respiratory Rate and Heart Rate From Photoplethysmographic Signal.
    Motin MA; Karmakar CK; Palaniswami M
    IEEE J Biomed Health Inform; 2018 May; 22(3):766-774. PubMed ID: 28287994
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Sliding Scale Signal Quality Metric of Photoplethysmography Applicable to Measuring Heart Rate across Clinical Contexts with Chest Mounting as a Case Study.
    McLean MK; Weaver RG; Lane A; Smith MT; Parker H; Stone B; McAninch J; Matolak DW; Burkart S; Chandrashekhar MVS; Armstrong B
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050488
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Novel Continuous Respiratory Rate Monitoring Using an Armband Wearable Sensor.
    Huang N; Zhou M; Bian D; Mehta P; Shah M; Rajput KS; Selvaraj N
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():7470-7475. PubMed ID: 34892821
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Development of Respiratory Signal Monitoring System Based on Photoplethysmography].
    Liu C; Yuan S; Lin G; Cai S; Ye J; Zhang X; Jin H
    Zhongguo Yi Liao Qi Xie Za Zhi; 2022 Jul; 46(4):368-372. PubMed ID: 35929148
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Combining Adaptive Filter and Phase Vocoder for Heart Rate Monitoring Using Photoplethysmography During Physical Exercise.
    Xie Q; Zhang Q; Wang G; Lian Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():3568-3571. PubMed ID: 30441149
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Smartwatch Based Atrial Fibrillation Detection from Photoplethysmography Signals.
    Bashar SK; Han D; Ding E; Whitcomb C; McManus DD; Chon KH
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4306-4309. PubMed ID: 31946820
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of 7 Different Sensors for Detecting Low Respiratory Rates Using a Single Breath Detection Algorithm in Nonintubated, Sedated Volunteers.
    Ermer S; Brewer L; Orr J; Egan TD; Johnson K
    Anesth Analg; 2019 Aug; 129(2):399-408. PubMed ID: 30234539
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.