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 *

333 related articles for article (PubMed ID: 31946970)

  • 1. Robust Beat-to-Beat Interval from Wearable PPG using RLS and SSA.
    Bhattacharjee T; Choudhury AD; Pal A
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4946-4952. PubMed ID: 31946970
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Reference signal less Fourier analysis based motion artifact removal algorithm for wearable photoplethysmography devices to estimate heart rate during physical exercises.
    Pankaj ; Kumar A; Komaragiri R; Kumar M
    Comput Biol Med; 2022 Feb; 141():105081. PubMed ID: 34952340
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Heart Rate Estimation using PPG signal during Treadmill Exercise.
    Kong Y; Chon K
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3253-3256. PubMed ID: 31946579
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor.
    Salehizadeh SM; Dao D; Bolkhovsky J; Cho C; Mendelson Y; Chon KH
    Sensors (Basel); 2015 Dec; 16(1):. PubMed ID: 26703618
    [TBL] [Abstract][Full Text] [Related]  

  • 6. PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram.
    Shyam A; Ravichandran V; Preejith SP; Joseph J; Sivaprakasam M
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1899-1902. PubMed ID: 31946269
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantification of error between the heartbeat intervals measured form photoplethysmogram and electrocardiogram by synchronisation.
    Kuntamalla S; Lekkala RGR
    J Med Eng Technol; 2018 Jul; 42(5):389-396. PubMed ID: 30324857
    [TBL] [Abstract][Full Text] [Related]  

  • 8. BioTranslator: Inferring R-Peaks from Ambulatory Wrist-Worn PPG Signal.
    Everson L; Biswas D; Verhoef BE; Kim CH; Van Hoof C; Konijnenburg M; Van Helleputte N
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4241-4245. PubMed ID: 31946805
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Removal of Motion Artifacts in Photoplethysmograph Sensors during Intensive Exercise for Accurate Heart Rate Calculation Based on Frequency Estimation and Notch Filtering.
    Wang M; Li Z; Zhang Q; Wang G
    Sensors (Basel); 2019 Jul; 19(15):. PubMed ID: 31357674
    [TBL] [Abstract][Full Text] [Related]  

  • 10. SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices.
    Masinelli G; Dell'Agnola F; Valdés AA; Atienza D
    Sensors (Basel); 2021 Apr; 21(8):. PubMed ID: 33924351
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust Heart Rate Monitoring for Quasi-Periodic Motions by Wrist-Type PPG Signals.
    He W; Ye Y; Lu L; Cheng Y; Li Y; Wang Z
    IEEE J Biomed Health Inform; 2020 Mar; 24(3):636-648. PubMed ID: 31021779
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Robust Random Forest-Based Approach for Heart Rate Monitoring Using Photoplethysmography Signal Contaminated by Intense Motion Artifacts.
    Ye Y; He W; Cheng Y; Huang W; Zhang Z
    Sensors (Basel); 2017 Feb; 17(2):. PubMed ID: 28212327
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ear and Finger PPG Wearables for Night and Day Beat-to-Beat Interval Detection.
    Haddad S; Boukhayma A; Caizzone A
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1686-1689. PubMed ID: 34891610
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Heart rate extraction algorithm based on adaptive heart rate search model].
    Meng R; Li Z; Yu H; Niu Q
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Jun; 39(3):516-526. PubMed ID: 35788521
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Real-Time Robust Heart Rate Estimation From Wrist-Type PPG Signals Using Multiple Reference Adaptive Noise Cancellation.
    Chowdhury SS; Hyder R; Hafiz MSB; Haque MA
    IEEE J Biomed Health Inform; 2018 Mar; 22(2):450-459. PubMed ID: 27893403
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Motion Artifact Reduction in Wearable Photoplethysmography Based on Multi-Channel Sensors with Multiple Wavelengths.
    Lee J; Kim M; Park HK; Kim IY
    Sensors (Basel); 2020 Mar; 20(5):. PubMed ID: 32182772
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Feasibility Study of Deep Neural Network for Heart Rate Estimation from Wearable Photoplethysmography and Acceleration Signals.
    Chung H; Ko H; Lee H; Lee J
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3633-3636. PubMed ID: 31946663
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Photoplethysmographic Time-Domain Heart Rate Measurement Algorithm for Resource-Constrained Wearable Devices and its Implementation.
    Wójcikowski M; Pankiewicz B
    Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32210210
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analysis of photoplethysmogram signal to estimate heart rate during physical activity using fractional fourier transform - A sampling frequency independent and reference signal-less method.
    Pankaj ; Kumar A; Ashdhir A; Komaragiri R; Kumar M
    Comput Methods Programs Biomed; 2023 Feb; 229():107294. PubMed ID: 36528998
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Robust PPG Peak Detection Using Dilated Convolutional Neural Networks.
    Kazemi K; Laitala J; Azimi I; Liljeberg P; Rahmani AM
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015816
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.