Non-invasive measurement of intracardiac pressures in heart failure patients using machine learning techniques

Background: Solutions targeting early recognition of congestion in heart failure (HF) patients have the potential to prevent readmissions and can thus significantly reduce the burden on HF care. The gold standard measure of congestion is invasively measured pulmonary capillary wedge pressure (PCWP). However, the invasive nature and accessibility...

Validating MRI-Derived Myocardial Stiffness Estimates Using In Vitro Synthetic Heart Models

Impaired cardiac filling in response to increased passive myocardial stiffness contributes to the pathophysiology of heart failure. By leveraging cardiac MRI data and ventricular pressure measurements, we can estimate in vivo passive myocardial stiffness using personalized inverse finite element models. While it is well-known that this...

Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables

Background: Smartwatches enable continuous and noninvasive time series monitoring of cardiovascular biomarkers like heart rate (from photoplethysmograms), step counter, skin temperature, et cetera; as such, they have promise in assisting in early detection and prevention of cardiovascular disease. Although these biomarkers may not be directly...

Machine learning–based biomarker profile derived from 4210 serially measured proteins predicts clinical outcome of patients with heart failure

Aims Risk assessment tools are needed for timely identification of patients with heart failure (HF) with reduced ejection fraction (HFrEF) who are at high risk of adverse events. In this study, we aim to derive a small set out of 4210 repeatedly measured proteins, which, along with clinical characteristics and established biomarkers, carry...

PWM-based Transthoracic Bioimpedance Analyzer for Detecting Heart Failures

Patients that suffer from heart failure can benefit from wearable monitoring devices that continuouslymonitor the condition of the heart. One of the foremost symptoms of exacerbation of the heart is fluidcongestion in the lungs. One of the method to measure a change in biological tissue, such as thebuild­up of fluids in the lungs and chest, is...

Optimization of Microbubble Concentration and Acoustic Pressure for Left Ventricular High Frame Rate EchoPIV in Patients

High-frame-rate (HFR) echo-particle image velocimetry (echoPIV) is a promising tool for measuring intracardiac blood flow dynamics. In this study, we investigate the optimal ultrasound contrast agent (UCA: SonoVue) infusion rate and acoustic output to use for HFR echoPIV (PRF = 4900 Hz) in the left ventricle (LV) of patients. Three infusion...

Numerical simulations of flow patterns in the human left ventricle model with a novel dynamic mesh morphing approach based on radial basis function

We present a new numerical simulation framework for prediction of flow patterns in the human left ventricle model. In this study, a radial basis function (RBF) mesh morphing method is developed and applied within the finite-volume computational fluid dynamics (CFD) approach. The numerical simulations are designed to closely mimic details of...

Quality Assessment of an Integrated Care Pathway Using Telemonitoring in Patients with Chronic Heart Failure and Chronic Obstructive Pulmonary Disease: Protocol for a Quasi-Experimental Study

Background: Chronic heart failure (CHF) and chronic obstructive pulmonary disease (COPD) often coexist and are associated with a high morbidity and reduced quality of life (QoL). Although these diseases share similarities in symptoms and clinical course, and exacerbations of both diseases often overlap, care pathways for both conditions are...

Cerebral blood flow and cognitive functioning in patients with disorders along the heart–brain axis: Cerebral blood flow and the heart–brain axis

Introduction: We examined the role of hemodynamic dysfunction in cognition by relating cerebral blood flow (CBF), measured with arterial spin labeling (ASL), to cognitive functioning, in patients with heart failure (HF), carotid occlusive disease (COD), and patients with cognitive complaints and vascular brain injury on magnetic resonance...

Deciding with heart: Supporting shared decision making process about life-prolonging treatments in patients with advanced heart failure

Shared decision making is a process in which healthcare professionals and patients decide together on the course of the treatment. Shared decision making enables evidence and patients’ preferences to be taken into account. It improves the patient’s knowledge, understanding and patient-healthcare providers communication. However, various barriers...

A synchronized phonocardiogram for shear wave elastography

Worldwide, cardiovascular diseases (e.g. coronary heart disease and stroke) are the leading cause of death. Early detection of cardiac failure symptoms and effective treatment can help reducing health care costs and predict cardiovascular events, which may prevent loss of quality of life, or even loss of life. This early recognition of imminent...

Designing a monitoring device for cardiovascular patients

Due to the recent advancements in artificial intelligence based sound analysis, digital stethoscopes soon will be ready to leave behind the clinics of general practitioners, cardiologists, and pulmonologists and move to the homes of patients. But which patients could benefit the most from the technology and how would this step affect the design...

The Missing Link in the Pathophysiology of Vascular Cognitive Impairment: Design of the Heart-Brain Study

Background: Hemodynamic balance in the heart-brain axis is increasingly recognized as a crucial factor in maintaining functional and structural integrity of the brain and thereby cognitive functioning. Patients with heart failure (HF), carotid occlusive disease (COD), and vascular cognitive impairment (VCI) present themselves with complaints...

Health Dashboard: Improving telemonitoring and self-management of heart failure patients by design.

This project presents the result of a new proposal to improve telemonitoring and self-management for heart failure patients: The Health Dashboard. The Health Dashboard is designed for Philips in collaboration with the Reinier the Graaf hospital in Delft. It aims to reduce the chance on readmissions, to reassure heart failure patients about their...

Hospital to home: Design to prevent social loneliness among people with chronic heart failure

Home healthcare for chronic illness has emerged as a solution to the increasing demand for healthcare. Philips, as one of the leading companies in this field, is developing a people-centered, technology-empowered "Hospital to Home" ecosystem to improve people's well-being and enable people to live a healthy life at home as long as possible. With...

Business Model Design for the Healthcare Sector: Sustainable Business Model Design for Heart Failure Home Telemonitoring Opportunities in Western Europe

A large number of studies have shown that home telemonitoring helps patients gain control and moreover: helps to reduce health problems associated with the illness. Implementation rates in daily practice have been low though. Literature indicates that traditional business models do not fit with self-directed patients and e-health solutions. This...