COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Mobile and Wearable Health Seminar Series > Using wearable-derived cardiac signals to predict cardiovascular events
Using wearable-derived cardiac signals to predict cardiovascular eventsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Cecilia Mascolo. https://cam-ac-uk.zoom.us/j/89965171767?pwd=RlJSUCtaVHlPL0laTzM2VzB6d1V6UT09 Wearable devices that enable cardiac monitoring are becoming widely available and could be used to assess cardiovascular health status and risk assessment for anyone, anywhere and at any time. This talk provides an overview of our work on assessing the potential of using wearable-derived cardiac signals to predict current health status and future cardiovascular events in the general population. We will present several applications based on the use of wearable-format electrocardiograms, wearable-derived long-term heart rate monitoring and remote physical tests in population-based studies. Strengths and limitations of these approaches will be discussed as well as future directions. This talk is part of the Mobile and Wearable Health Seminar Series series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsType the title of a new list here mp3 , net worth , banks ussd Purple PenguinOther talksComments on eigenfunctions of integrable models and 4d N=1 SQFTs Modeling traffic jam and growth process of neurons using isogeometric analysis and physics-informed neural network Internal selective attention under the microsaccade scope Control theory for collective behaviour in the presence of a disease Succulents in Mediterranean Gardens Femincam: Celebrating Women in Electronic Materials |