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]