Hybrid deep learning model for heart disease detection on 12-lead electrocardiograms DOI Open Access
Батырхан Омаров,

Zeinel Momynkulov

Procedia Computer Science, Год журнала: 2024, Номер 241, С. 439 - 444

Опубликована: Янв. 1, 2024

Язык: Английский

Emerging intelligent wearable devices for cardiovascular health monitoring DOI
Yiqian Wang, Yang Zou, Zhou Li

и другие.

Nano Today, Год журнала: 2024, Номер 59, С. 102544 - 102544

Опубликована: Ноя. 8, 2024

Язык: Английский

Процитировано

4

Cardiac Repair and Regeneration via Advanced Technology (Preprint) DOI Creative Commons
Yugyung Lee, Sushil Shelke, Chi H Lee

и другие.

JMIR Biomedical Engineering, Год журнала: 2025, Номер 10, С. e65366 - e65366

Опубликована: Янв. 8, 2025

Cardiovascular diseases (CVDs) are the leading cause of death globally, and almost one-half all adults in United States have at least one form heart disease. This review focused on advanced technologies, genetic variables CVD, biomaterials used for organ-independent cardiovascular repair systems. A variety implantable wearable devices, including biosensor-equipped stents biocompatible cardiac patches, been developed evaluated. The incorporation those strategies will hold a bright future management CVD clinical practice. study employed widely academic search systems, such as Google Scholar, PubMed, Web Science. Recent progress diagnostic treatment methods against described content, extensively examined. innovative bioengineering, gene delivery, cell biology, artificial intelligence-based technologies that continuously revolutionize biomedical devices regeneration also discussed. novel, balanced, contemporary, query-based method adapted this manuscript defined extent to which an updated literature could efficiently provide research evidence-based, comprehensive applicability CVD. Advanced along with telehealth be essential create efficient stents. proper statistical approaches results from studies model-based risk probability prediction physiological integral monitoring risk. To overcome current obstacles achieve successful therapeutic applications, interdisciplinary collaborative work is essential. Novel their targeted treatments accomplish enhanced health care delivery improved efficacy As articles contain sources state-of-the-art evidence clinicians, these high-quality reviews serve first outline before undertaking studies.

Язык: Английский

Процитировано

0

Cardiac Repair and Regeneration via Advanced Technology (Preprint) DOI
Chi H Lee, Yugyung Lee, Sushil Shelke

и другие.

Опубликована: Авг. 13, 2024

BACKGROUND This review has focused on advanced technologies, genetic variables in CVD, and biomaterials used for organ-independent cardiovascular repair systems. OBJECTIVE A variety of implantable wearable devices, including biosensor-equipped stents biocompatible cardiac patches, have been developed evaluated. METHODS Advanced innovative bioengineering, gene delivery, cell biology AI based technologies which will continuously revolutionize biomedical devices regeneration are also discussed. RESULTS To overcome the current obstacles achieve successful therapeutic applications, future interdisciplinary collaborative work should be integral. new material biology, along with AI-based telehealth, essential to create efficient stents. CONCLUSIONS medical future.

Язык: Английский

Процитировано

0

Hybrid deep learning model for heart disease detection on 12-lead electrocardiograms DOI Open Access
Батырхан Омаров,

Zeinel Momynkulov

Procedia Computer Science, Год журнала: 2024, Номер 241, С. 439 - 444

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0