Search Results

The article examines the indicator of a complex correlation measure applied to the task of recognizing congestive heart failure by a heart rate signal. It is shown that the features of the Poincaré plot for the sequence of cardiointervals can be ...

We present a study of the cumulative effect of comorbidities on hospital length of stay (LOS), and hospital mortality, for patients with Congestive Heart Failure (CHF). This condition can be life-threatening, while a burdened disease profile ...

Spherical Harmonics (SPHARMs) have been widely used in the three-dimensional (3D) object processing domain. The harmonic coefficients generated by this mathematical theory are considered a robust source of information about 3D objects analyzed. This ...

In health technology projects, user-driven requirements and ideas for functionalities often pose a challenge for research and development teams. Some of these are typical for the context of research projects while others are related to implementation in ...

Symbolic dynamics allows representing the heart rate variability signal into a common symbol that has been determined to ease the calculation process. The application of existing symbolic analysis can eliminate the information contained in those ...

Mitigating preventable readmissions, where patients are readmitted for the same primary diagnosis within 30 days, poses a significant challenge to the delivery of high-quality healthcare. Toward this end, we develop a novel, predictive analytics model, ...

Remote monitoring of congestive heart failure and acute coronary disease (CHF/ACD) using automated monitoring devices and bespoke care pathways/protocols to give early warning of deterioration and facilitate pre-emptive action may be an important ...

With the large international effort directed against malaria, tuberculosis, HIV/AIDS, and water-borne illnesses comes the inevitable emergence of chronic diseases as a major worldwide health threat. Management of chronic illness requires a partnership ...

Paper uses symbolic dynamics to study heartbeat time series from the normal subjects, patients with congestive heart failure and cardiac arrest patients. The results show that entropy value of normal people's heart beat signals is the maximum. ...

Gaming platforms enjoy growing recognition as useful means to facilitate consumer health. The potential of such widely used platforms as Xbox for self-management of chronic health conditions has not yet been fully uncovered. We developed a Home ...

Any natural or biological signal can be seen as a linear combination of meaningful and non-meaningful structures. According to the theory of multiresolution wavelet expansions, one can quantify the degree of information those structures using entropy ...

Existing telemonitoring systems provide limited support in implementing personalized treatment plans.We developed a Home Automated Telemanagement (HAT) system for patients with congestive heart failure (CHF) to provide support in following ...

Congestive heart failure (CHF) is affecting more than 15 million people in the western population with an increasing number. Biventricular pacing as Cardiac Resynchronization Therapy (CRT) is a recognized therapy for the treatment of heart failure. The ...

This paper aims at investigating a new technique of time-domain analysis of heart variability (R-R interval (RRI)) for the screening of patients with Congestive Heart Failure (CHF). This method is based on the Statistical Signal Characterization (SSC) ...

This paper addresses a very specific problem of identifying patients diagnosed with a specific condition for potential recruitment in a clinical trial or an epidemiological study. We present a simple machine learning method for identifying patients ...