View clinical trials related to Murmur, Heart.
Filter by:The purpose of this research is to prospectively test and validate the utility of Eko artificial intelligence (AI) plus Eko Murmur Analysis Software (EMAS) murmur characterization in algorithm in a real world, point-of-care setting.
The purpose of this research is to evaluate the impact of Eko AI plus EMAS (Eko Murmur Analysis Software) on a clinician's referral decision in a real-world primary care setting. There is an additional objective of understanding patient outcomes when patients are referred for cardiology follow-up and/or echocardiogram.
The current study concerns Cardiags Trimod, a new non-invasive medical device for cardiac examinations. The evaluation of its effectiveness is done relative to specific standard devices.
The principal objective of the study is to determine if patient-empowered, real-time and home- based patient monitoring of vital parameters can lead to: - Reduction in admission rates and improved clinical management of chronically ill patients - Reduction in use of medications - Reported quality of life A minimum of 100 patients will be recruited, monitored and observed over 6 months from home with the Coala Heart Monitor. The study population will be representative of rural, high-risk, Medicare (65+ of age) subjects with chronic conditions and will be recruited by the Perry Community Hospital in Linden, TN.
The Eko CORE and DUO stethoscopes are FDA-approved electronic devices that have the capacity to record heart sounds. The study seeks to expand murmur detection to include VHD classification through the development of novel ML algorithms that are able to distinguish between systolic vs. diastolic vs. continuous murmurs, as well as classify VHD type and severity, using 4-point auscultation with Eko CORE and DUO electronic stethoscopes to record heart sounds.