Matches in SemOpenAlex for { <https://semopenalex.org/work/W3092371431> ?p ?o ?g. }
- W3092371431 endingPage "91" @default.
- W3092371431 startingPage "75" @default.
- W3092371431 abstract "Ambulatory monitoring is increasingly important for cardiovascular care but is often limited by the unpredictability of cardiovascular events, the intermittent nature of ambulatory monitors and the variable clinical significance of recorded data in patients. Technological advances in computing have led to the introduction of novel physiological biosignals that can increase the frequency at which abnormalities in cardiovascular parameters can be detected, making expert-level, automated diagnosis a reality. However, use of these biosignals for diagnosis also raises numerous concerns related to accuracy and actionability within clinical guidelines, in addition to medico-legal and ethical issues. Analytical methods such as machine learning can potentially increase the accuracy and improve the actionability of device-based diagnoses. Coupled with interoperability of data to widen access to all stakeholders, seamless connectivity (an internet of things) and maintenance of anonymity, this approach could ultimately facilitate near-real-time diagnosis and therapy. These tools are increasingly recognized by regulatory agencies and professional medical societies, but several technical and ethical issues remain. In this Review, we describe the current state of cardiovascular monitoring along the continuum from biosignal acquisition to the identification of novel biosensors and the development of analytical techniques and ultimately to regulatory and ethical issues. Furthermore, we outline new paradigms for cardiovascular monitoring." @default.
- W3092371431 created "2020-10-15" @default.
- W3092371431 creator A5003568676 @default.
- W3092371431 creator A5005580719 @default.
- W3092371431 creator A5026533006 @default.
- W3092371431 creator A5044514674 @default.
- W3092371431 creator A5065058975 @default.
- W3092371431 creator A5085920644 @default.
- W3092371431 creator A5086040903 @default.
- W3092371431 date "2020-10-09" @default.
- W3092371431 modified "2023-10-11" @default.
- W3092371431 title "Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management" @default.
- W3092371431 cites W1418063743 @default.
- W3092371431 cites W1616073113 @default.
- W3092371431 cites W1825229520 @default.
- W3092371431 cites W191924134 @default.
- W3092371431 cites W1972295739 @default.
- W3092371431 cites W1997996984 @default.
- W3092371431 cites W2013697141 @default.
- W3092371431 cites W2016423916 @default.
- W3092371431 cites W2018796325 @default.
- W3092371431 cites W2020682484 @default.
- W3092371431 cites W2065028337 @default.
- W3092371431 cites W2065057670 @default.
- W3092371431 cites W2071400403 @default.
- W3092371431 cites W2072858761 @default.
- W3092371431 cites W2074645827 @default.
- W3092371431 cites W2082227074 @default.
- W3092371431 cites W2082353817 @default.
- W3092371431 cites W2085420007 @default.
- W3092371431 cites W2092404197 @default.
- W3092371431 cites W2097618980 @default.
- W3092371431 cites W2109332600 @default.
- W3092371431 cites W2109969913 @default.
- W3092371431 cites W2120203545 @default.
- W3092371431 cites W2126686994 @default.
- W3092371431 cites W2126747943 @default.
- W3092371431 cites W2129906781 @default.
- W3092371431 cites W2139305230 @default.
- W3092371431 cites W2140123041 @default.
- W3092371431 cites W2140485936 @default.
- W3092371431 cites W2143975628 @default.
- W3092371431 cites W2144784619 @default.
- W3092371431 cites W2147018083 @default.
- W3092371431 cites W2155116952 @default.
- W3092371431 cites W2161884253 @default.
- W3092371431 cites W2162800060 @default.
- W3092371431 cites W2166379766 @default.
- W3092371431 cites W2196315079 @default.
- W3092371431 cites W2213926659 @default.
- W3092371431 cites W2273316012 @default.
- W3092371431 cites W2278186831 @default.
- W3092371431 cites W2292983826 @default.
- W3092371431 cites W2294562649 @default.
- W3092371431 cites W2315662140 @default.
- W3092371431 cites W2317644986 @default.
- W3092371431 cites W2346237171 @default.
- W3092371431 cites W2461101863 @default.
- W3092371431 cites W2479978653 @default.
- W3092371431 cites W2502795088 @default.
- W3092371431 cites W2509795914 @default.
- W3092371431 cites W2512377464 @default.
- W3092371431 cites W2513891766 @default.
- W3092371431 cites W2520509592 @default.
- W3092371431 cites W2563358367 @default.
- W3092371431 cites W2578001508 @default.
- W3092371431 cites W2586184806 @default.
- W3092371431 cites W2592983175 @default.
- W3092371431 cites W2598361327 @default.
- W3092371431 cites W2604086082 @default.
- W3092371431 cites W2613494736 @default.
- W3092371431 cites W2617970320 @default.
- W3092371431 cites W2618581983 @default.
- W3092371431 cites W2724918540 @default.
- W3092371431 cites W2729228834 @default.
- W3092371431 cites W2743012649 @default.
- W3092371431 cites W2745811192 @default.
- W3092371431 cites W2750530717 @default.
- W3092371431 cites W2752766789 @default.
- W3092371431 cites W2754054868 @default.
- W3092371431 cites W2765408474 @default.
- W3092371431 cites W2767201724 @default.
- W3092371431 cites W2771582918 @default.
- W3092371431 cites W2781086988 @default.
- W3092371431 cites W2782965692 @default.
- W3092371431 cites W2789300536 @default.
- W3092371431 cites W2790444357 @default.
- W3092371431 cites W2790615343 @default.
- W3092371431 cites W2791249085 @default.
- W3092371431 cites W2791316863 @default.
- W3092371431 cites W2791889721 @default.
- W3092371431 cites W2795429364 @default.
- W3092371431 cites W2797120312 @default.
- W3092371431 cites W2803138262 @default.
- W3092371431 cites W2803414964 @default.
- W3092371431 cites W2806495574 @default.
- W3092371431 cites W2807918714 @default.
- W3092371431 cites W2869528658 @default.