Artificial intelligence to detect noise events in remote monitoring data
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Arrhythmia"
DOI: 10.1002/joa3.13037
Abstract: Remote monitoring (RM) of cardiac implantable electrical devices (CIEDs) can detect various events early. However, the diagnostic ability of CIEDs has not been sufficient, especially for lead failure. The first notification of lead failure was… read more here.
Keywords: lead failure; remote monitoring; artificial intelligence; noise events ... See more keywords
Comparison of longevity and clinical outcomes of implantable cardioverter-defibrillator leads among manufacturers.
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DOI: 10.1016/j.hrthm.2017.05.020
Abstract: BACKGROUND An early failure of the Biotronik Linox S/SD implantable cardioverter-defibrillator (ICD) lead has been reported. We have also experienced several cases with early failure of Linox leads. OBJECTIVE Our aim was to assess the… read more here.
Keywords: sprint; survival rate; year; lead failure ... See more keywords
Cardiovascular Implantable Electronic Device Lead Safety: Harnessing Real-World Remote Monitoring Data for Medical Device Evaluation.
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DOI: 10.1161/circoutcomes.15.suppl_1.78
Abstract: BACKGROUND Current methods to identify cardiac implantable electronic devices (CIED) lead failure include post-approval studies, which may be limited in scope, participant numbers, and attrition; studies relying on administrative codes, which lack specificity; and voluntary… read more here.
Keywords: lead failure; implantable electronic; administrative codes; failure ... See more keywords