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CPP : Cardiovascular Prevention and Pharmacotherapy

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Dai-Jin Kim 1 Article
Recent Technology-Driven Advancements in Cardiovascular Disease Prevention
Jisan Lee, Hun-Sung Kim, Dai-Jin Kim
Cardiovasc Prev Pharmacother. 2019;1(2):43-49.   Published online October 31, 2019
DOI: https://doi.org/10.36011/cpp.2019.1.e7
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  • 3 Citations
Abstract PDFSupplementary Material
Recent dramatic developments in information and communication technologies have been widely applied to medicine and healthcare. In particular, biometric sensors in wearable devices linked to smartphones are collecting vast amounts of personal health data. To best use these accumulated data, personalized healthcare services are emerging, and digital platforms are being developed and studied to enable data integration and analysis. The implementation of biometric sensors and smartphones for cardiovascular and cerebrovascular healthcare emerged from the research on the feasibility and efficacy of the devices in the clinical environment. It is important to understand the recent research trends in data generation, integration, and application to prevent and treat cardiovascular and cerebrovascular diseases. This paper describes these recent developments in treating cardiovascular diseases.

Citations

Citations to this article as recorded by  
  • Sex- and Age-Specific Trends in Cardiovascular Health in Korea, 2007–2018
    So Mi Jemma Cho, Hokyou Lee, Hyeon Chang Kim
    Korean Circulation Journal.2021; 51(11): 922.     CrossRef
  • Lack of Acceptance of Digital Healthcare in the Medical Market: Addressing Old Problems Raised by Various Clinical Professionals and Developing Possible Solutions
    Jong Il Park, Hwa Young Lee, Hyunah Kim, Jisan Lee, Jiwon Shinn, Hun-Sung Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Lessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare
    Hun-Sung Kim, Kun-Ho Yoon
    Endocrinology and Metabolism.2020; 35(3): 541.     CrossRef

CPP : Cardiovascular Prevention and Pharmacotherapy