Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management. [PDF]
Krittanawong C +6 more
europepmc +1 more source
A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases. [PDF]
Cuevas-Chávez A +6 more
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Aortic Stiffness Is Associated with Coronary Microvascular Dysfunction in Patients with Non-obstructive Coronary Artery Disease. [PDF]
Muroya T +5 more
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Precordial Vibrations: A Review of Wearable Systems, Signal Processing Techniques, and Main Applications. [PDF]
Santucci F +4 more
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Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings. [PDF]
Cho MJ +13 more
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2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society. [PDF]
Varma N +23 more
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Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives. [PDF]
Ren H +7 more
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NONIVASIVE ASSESSMENT OF SEVERITY OF MITRAL STENOSIS WITH MECHANOCARDIOGRAPHY AND ECHOCARDIOGRAPHY
HIDEAKI SUGA +8 more
openaire +2 more sources
Diagnostic and Prognostic Role of Circulating microRNAs in Patients with Coronary Artery Disease-Impact on Left Ventricle and Arterial Function. [PDF]
Iacobescu L +8 more
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Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions. [PDF]
Hossein A +8 more
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