Results 241 to 250 of about 228,705 (316)

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +1 more source

Incidence and type of recurrent ventricular arrhythmia in patients with arrhythmic mitral valve prolapse and implantable cardioverter defibrillator for secondary prevention. [PDF]

Europace
Kneizeh K, Sacher F, Notaristefano F, Vlachos K, Ditac G, Duchateau J, Del-Carpio Munoz F, Jaworski K, Alqarawi W, Vandenberk B, Figliozzi S, Verheul LM, Hassnik RJ, Deville L, Yvorel C, Boukhris M, Pierrard R, Ploux S, Jais P, Hocini M, Frontera A, Witte KK, Pürerfellner H, Haïssaguerre M, Da Costa A, Benali K.   +25 more
europepmc   +1 more source

Syncing Health Timing: Exploring the Interplay of Circadian Rhythms, Obesity, and Cardiovascular Diseases

Food Safety and Health, EarlyView.
Circadian rhythm disruption impairs metabolic regulation, appetite control, and vascular function, promoting obesity and cardiovascular diseases. Evidence highlights a bidirectional relationship where metabolic disorders further disturb circadian timing.
Ghizal Fatima, István Dalmadi, Anna Jánosi, Krisztina Takács, Eszter Halmy   +4 more
wiley   +1 more source

Incidence of Papaverine-Induced Ventricular Arrhythmias. [PDF]

J Am Heart Assoc
Corradetti S, Munhoz D, Kodeboina M, Mahendiran T, Bermpeis K, Gallinoro E, Mizukami T, Hausmann R, De Bruyne B, Wilgenhof A, Collet C.   +10 more
europepmc   +1 more source

Arrhythmias in the Aged

Nippon Ronen Igakkai Zasshi. Japanese Journal of Geriatrics, 1976
openaire   +3 more sources

Machine Learning Methods to Predict the Length of Stay for Acute Stroke: A Scoping Review and Meta‐Analysis

Health Care Science, EarlyView.
Current machine learning models for predicting the length of stay for acute stroke lack clinical utility and reliability. This scoping review highlights areas for improvement to develop more robust, interpretable, generalizable, and clinically actionable models that optimize personalized clinical pathways and support precise decision‐making for stroke ...
Zhenran Xu, Monique F. Kilkenny, Tzu‐Yung Kuo, Jia Rong, Lachlan L. Dalli   +4 more
wiley   +1 more source

Multidisciplinary Approach to Ventricular Arrhythmias in the CICU: Integrating Mechanical Circulatory Support, Ablation, and Emerging Therapies. [PDF]

J Clin Med
Mauriello A, Correra A, Maratea AC, Cetoretta V, Giallauria F, Esposito G, Desiderio A, Sabatella F, Marrazzo G, Liccardo B, Russo V, Trambaiolo P, D'Andrea A.   +12 more
europepmc   +1 more source

When seizure counts are not seizures: Measurement error and its implications for epilepsy management and driving policy

Epilepsia, EarlyView.
Mark J. Cook, Mark P. Richardson, Andreas Schulze‐Bonhage   +2 more
wiley   +1 more source

The Obesity-OSA-Arrhythmia Axis: Pathophysiological Mechanisms and Translational Therapeutic Targets. [PDF]

Life (Basel)
Cacciapuoti F, Caso I, Buonomo A, Crispo S, Taglialatela V, Carpinella G, Volpicelli M, Mauro C.   +7 more
europepmc   +1 more source