HeartLogic multisensor algorithm identifies patients during periods of significantly increased risk of heart failure events: results from the MultiSENSE study

RS Gardner, JP Singh, B Stancak, DG Nair… - … : Heart Failure, 2018 - Am Heart Assoc
event rate ratio (using the nominal threshold of 16) separately across subgroups of patients
evaluating the effect of demographics and comorbidities on HF event risk stratification (…

[HTML][HTML] Heart failure: diagnosis, severity estimation and prediction of adverse events through machine learning techniques

EE Tripoliti, TG Papadopoulos, GS Karanasiou… - Computational and …, 2017 - Elsevier
… The early prediction of those events will allow experts to achieve effective risk stratification
of patients and to assist in clinical decision making. Prognostic information could guide the …

A multisensor algorithm predicts heart failure events in patients with implanted devices: results from the MultiSENSE study

JP Boehmer, R Hariharan, FG Devecchi, AL Smith… - JACC: Heart Failure, 2017 - jacc.org
… aspects of cardiac physiology. The resulting composite index and alert (HeartLogic)
effectively detected 70% of worsening heart failure events a median of 34 days before the event, …

A multi-scale and multi-domain heart sound feature-based machine learning model for ACC/AHA heart failure stage classification

Y Zheng, X Guo, Y Wang, J Qin… - Physiological …, 2022 - iopscience.iop.org
Heart sounds can reflect detrimental changes in cardiac mechanical activity that are common
pathological characteristics of chronic heart failure (… of heart sound event detection Comput. …

… of Cardiology Foundation/Heart Rhythm Society scientific statement on noninvasive risk stratification techniques for identifying patients at risk for sudden cardiac …

JJ Goldberger, ME Cain, SH Hohnloser, AH Kadish… - Circulation, 2008 - Am Heart Assoc
… Although other types of structural heart disease and inherited ion channel abnormalities are
also associated with a risk for SCD, the risk stratification strategies and data in these entities …

Prognostic value of acoustic cardiography in patients with chronic heart failure

S Wang, M Liu, F Fang, Q Shang, JP Sun… - International Journal of …, 2016 - Elsevier
… Rapid risk stratification in patients with heart failure is critically important but challenging. The
aim … acoustic cardiography can identify heart failure (HF) patients at high risk for mortality. …

Differentiating sensor changes in a composite heart failure ICD monitoring index: clinical correlates and implications

P Compagnucci, VE Santobuono, A D'Onofrio… - Heart Rhythm, 2024 - Elsevier
… HeartLogic alerts are mostly triggered by changes in heart sounds, but clinical events are
more linked to respiration rate, RSBI, and night heart rate. Recurrent alerts often involve …

… use in problematic subgroups and B-type natriuretic peptide “gray zone”: secondary results from the Heart failure and Audicor technology for Rapid Diagnosis and …

AS Maisel, WF Peacock, KS Shah, P Clopton… - The American journal of …, 2011 - Elsevier
… levels and assists with accurate diagnosis and risk stratification. In our overall univariate
analysis, S3 strength was a significant predictor of adverse events. However, when incorporated …

Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort

PN Waaler, H Melbye, H Schirmer… - … in Cardiovascular …, 2024 - frontiersin.org
… to detect valvular heart disease (VHD) from digital heart sound … of disease progression.
Methods: We trained a recurrent neural network to predict murmurs from heart sound audio using

Heart sounds based monitoring.

A Patangay - 2009 - conservancy.umn.edu
… that heart sounds measured using the proposed framework contain clinically relevant
information about heart failure status that has historically not been available due to the use of a non…