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 *

265 related articles for article (PubMed ID: 28268977)

  • 1. Estimation of heart rate from foot worn photoplethysmography sensors during fast bike exercise.
    Jarchi D; Casson AJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3155-2158. PubMed ID: 28268977
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Heart Rate monitoring during physical exercise using wrist-type photoplethysmographic (PPG) signals.
    Ahmadi AK; Moradi P; Malihi M; Karimi S; Shamsollahi MB
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6166-9. PubMed ID: 26737700
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Photoplethysmography-Based Heart Rate Monitoring in Physical Activities via Joint Sparse Spectrum Reconstruction.
    Zhang Z
    IEEE Trans Biomed Eng; 2015 Aug; 62(8):1902-10. PubMed ID: 26186747
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Towards Photoplethysmography-Based Estimation of Instantaneous Heart Rate During Physical Activity.
    Jarchi D; Casson AJ
    IEEE Trans Biomed Eng; 2017 Sep; 64(9):2042-2053. PubMed ID: 28212075
    [TBL] [Abstract][Full Text] [Related]  

  • 7. PARHELIA: Particle Filter-Based Heart Rate Estimation From Photoplethysmographic Signals During Physical Exercise.
    Fujita Y; Hiromoto M; Sato T
    IEEE Trans Biomed Eng; 2018 Jan; 65(1):189-198. PubMed ID: 28459679
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Motion Artifact Canceling PPG Heart Rate Sensor Based on an Adaptive Filter Algorithm with Variable Tap Length.
    Kajita M; Hara S
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():4410-4413. PubMed ID: 33018973
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust Heart Rate Estimation During Physical Exercise Using Photoplethysmographic Signals.
    Motin MA; Karmakar CK; Palaniswami M
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():494-497. PubMed ID: 30440442
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Blood Pressure Estimation Using On-body Continuous Wave Radar and Photoplethysmogram in Various Posture and Exercise Conditions.
    Pour Ebrahim M; Heydari F; Wu T; Walker K; Joe K; Redoute JM; Yuce MR
    Sci Rep; 2019 Nov; 9(1):16346. PubMed ID: 31705001
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform.
    Wu HT; Lewis GF; Davila MI; Daubechies I; Porges SW
    Methods Inf Med; 2016 Oct; 55(5):463-472. PubMed ID: 27626806
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique.
    Nakajima K; Tamura T; Miike H
    Med Eng Phys; 1996 Jul; 18(5):365-72. PubMed ID: 8818134
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning.
    Stankoski S; Kiprijanovska I; Mavridou I; Nduka C; Gjoreski H; Gjoreski M
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336250
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Monitoring of Heart Rate from Photoplethysmographic Signals Using a Samsung Galaxy Note8 in Underwater Environments.
    Askarian B; Jung K; Chong JW
    Sensors (Basel); 2019 Jun; 19(13):. PubMed ID: 31248022
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering.
    Fallet S; Vesin JM
    Physiol Meas; 2017 Feb; 38(2):155-170. PubMed ID: 28055986
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of HRV parameters derived from photoplethysmography and electrocardiography signals.
    Jeyhani V; Mahdiani S; Peltokangas M; Vehkaoja A
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():5952-5. PubMed ID: 26737647
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sinus or not: a new beat detection algorithm based on a pulse morphology quality index to extract normal sinus rhythm beats from wrist-worn photoplethysmography recordings.
    Papini GB; Fonseca P; Eerikäinen LM; Overeem S; Bergmans JWM; Vullings R
    Physiol Meas; 2018 Nov; 39(11):115007. PubMed ID: 30475748
    [TBL] [Abstract][Full Text] [Related]  

  • 20. CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment.
    Biswas D; Everson L; Liu M; Panwar M; Verhoef BE; Patki S; Kim CH; Acharyya A; Van Hoof C; Konijnenburg M; Van Helleputte N
    IEEE Trans Biomed Circuits Syst; 2019 Apr; 13(2):282-291. PubMed ID: 30629514
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.