BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

30 related articles for article (PubMed ID: 31545706)

  • 1. Adaptive convolutional dictionary learning for denoising seismocardiogram to enhance the classification performance of aortic stenosis.
    Xu B; Jiang F; Zhu Z; Meng H; Xu L
    Comput Biol Med; 2024 Jan; 168():107763. PubMed ID: 38056208
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Heart sound classification algorithm based on time-frequency combination feature and adaptive fuzzy neural network].
    Wang Q; Yang H; Pan J; Tian Y; Guo T; Wang W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Dec; 40(6):1152-1159. PubMed ID: 38151938
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals.
    Zia J; Kimball J; Hersek S; Shandhi MMH; Semiz B; Inan OT
    IEEE J Biomed Health Inform; 2020 Apr; 24(4):1080-1092. PubMed ID: 31369387
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases.
    Cuevas-Chávez A; Hernández Y; Ortiz-Hernandez J; Sánchez-Jiménez E; Ochoa-Ruiz G; Pérez J; González-Serna G
    Healthcare (Basel); 2023 Aug; 11(16):. PubMed ID: 37628438
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Smart Wearables for the Detection of Cardiovascular Diseases: A Systematic Literature Review.
    Moshawrab M; Adda M; Bouzouane A; Ibrahim H; Raad A
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679626
    [No Abstract]   [Full Text] [Related]  

  • 6. Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review.
    Huang JD; Wang J; Ramsey E; Leavey G; Chico TJA; Condell J
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298352
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of View.
    Naseri Jahfari A; Tax D; Reinders M; van der Bilt I
    JMIR Med Inform; 2022 Jan; 10(1):e29434. PubMed ID: 35044316
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis.
    Lee S; Chu Y; Ryu J; Park YJ; Yang S; Koh SB
    Yonsei Med J; 2022 Jan; 63(Suppl):S93-S107. PubMed ID: 35040610
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A multi-point heart rate monitoring using a soft wearable system based on fiber optic technology.
    Lo Presti D; Santucci F; Massaroni C; Formica D; Setola R; Schena E
    Sci Rep; 2021 Oct; 11(1):21162. PubMed ID: 34707131
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases.
    Yang C; Fan F; Aranoff N; Green P; Li Y; Liu C; Tavassolian N
    Front Physiol; 2021; 12():750221. PubMed ID: 34658932
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications.
    Sieciński S; Kostka PS; Tkacz EJ
    Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33266401
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of Aortic Stenosis Using Time-Frequency Features From Chest Cardio-Mechanical Signals.
    Yang C; Aranoff ND; Green P; Tavassolian N
    IEEE Trans Biomed Eng; 2020 Jun; 67(6):1672-1683. PubMed ID: 31545706
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signals.
    Yang C; Ojha BD; Aranoff ND; Green P; Tavassolian N
    Sci Rep; 2020 Oct; 10(1):17521. PubMed ID: 33067495
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Binary Classification of Cardiovascular Abnormality Using Time-Frequency Features of Cardio-mechanical Signals.
    Yang C; Aranoff ND; Green P; Tavassolian N
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5438-5441. PubMed ID: 30441567
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Efficient detection of aortic stenosis using morphological characteristics of cardiomechanical signals and heart rate variability parameters.
    Shokouhmand A; Aranoff ND; Driggin E; Green P; Tavassolian N
    Sci Rep; 2021 Dec; 11(1):23817. PubMed ID: 34893693
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A decision tree--based method for the differential diagnosis of Aortic Stenosis from Mitral Regurgitation using heart sounds.
    Pavlopoulos SA; Stasis AC; Loukis EN
    Biomed Eng Online; 2004 Jun; 3(1):21. PubMed ID: 15225347
    [TBL] [Abstract][Full Text] [Related]  

  • 17.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 18.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 2.