Non-invasive measurement of stroke volume during exercise in heart failure patients

2000 ◽  
Vol 98 (5) ◽  
pp. 545 ◽  
Author(s):  
Pier Giuseppe AGOSTONI ◽  
Karlman WASSERMAN ◽  
Giovanni B. PEREGO* ◽  
Marco GUAZZI* ◽  
Gaia CATTADORI* ◽  
...  
Keyword(s):  
Heart Failure ◽  
Stroke Volume ◽  
Heart Failure Patients ◽  
Non Invasive ◽  
Invasive Measurement

Non-invasive measurement of cardiac output in heart failure patients using a new foreign gas rebreathing technique

2002 ◽  
Vol 102 (2) ◽  
pp. 247 ◽  
Author(s):  
Anders GABRIELSEN ◽  
Regitze VIDEBÆK ◽  
Morten SCHOU ◽  
Morten DAMGAARD ◽  
Jens KASTRUP ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiac Output ◽  
Heart Failure Patients ◽  
Non Invasive ◽  
Invasive Measurement

Abstract 17060: Machine Learning and Video Recognition for Automated Detection of Fluid Status in Heart Failure Patients

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Pratik Doshi ◽  
John Tanaka ◽  
Jedrek Wosik ◽  
Natalia M Gil ◽  
Martin Bertran ◽  
...  
Keyword(s):  
Machine Learning ◽  
Heart Failure ◽  
Point Of Care ◽  
Machine Learning Algorithms ◽  
Right Atrial ◽  
Heart Catheterization ◽  
Heart Failure Patients ◽  
Non Invasive ◽  
Fluid Status ◽  
Video Recognition

Introduction: There is a need for innovative solutions to better screen and diagnose the 7 million patients with chronic heart failure. A key component of assessing these patients is monitoring fluid status by evaluating for the presence and height of jugular venous distension (JVD). We hypothesize that video analysis of a patient’s neck using machine learning algorithms and image recognition can identify the amount of JVD. We propose the use of high fidelity video recordings taken using a mobile device camera to determine the presence or absence of JVD, which we will use to develop a point of care testing tool for early detection of acute exacerbation of heart failure. Methods: In this feasibility study, patients in the Duke cardiac catheterization lab undergoing right heart catheterization were enrolled. RGB and infrared videos were captured of the patient’s neck to detect JVD and correlated with right atrial pressure on the heart catheterization. We designed an adaptive filter based on biological priors that enhances spatially consistent frequency anomalies and detects jugular vein distention, with implementation done on Python. Results: We captured and analyzed footage for six patients using our model. Four of these six patients shared a similar strong signal outliner within the frequency band of 95bpm – 200bpm when using a conservative threshold, indicating the presence of JVD. We did not use statistical analysis given the small nature of our cohort, but in those we detected a positive JVD signal the RA mean was 20.25 mmHg and PCWP mean was 24.3 mmHg. Conclusions: We have demonstrated the ability to evaluate for JVD via infrared video and found a relationship with RHC values. Our project is innovative because it uses video recognition and allows for novel patient interactions using a non-invasive screening technique for heart failure. This tool can become a non-invasive standard to both screen for and help manage heart failure patients.

Non-invasive measurement of cardiac output during exercise in chronic heart failure

2005 ◽  
Vol 12 (3) ◽  
pp. 298-299
Author(s):  
Gaia Cattadori ◽  
Piergiuseppe Agostoni ◽  
Anna Apostolo ◽  
Giancarlo Marenzi
Keyword(s):  
Heart Failure ◽  
Cardiac Output ◽  
Chronic Heart Failure ◽  
Non Invasive ◽  
Invasive Measurement

The Novel Non-Invasive Measurement to Predict Arterial Underfilling in Patients with Acute Decompensated Heart Failure

2016 ◽  
Vol 22 (9) ◽  
pp. S180
Author(s):  
Nanao Matsusaki ◽  
Taiki Sakaguchi ◽  
Akio Hirata ◽  
Kazunori Kashiwase ◽  
Yoshiharu Higuchi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
The Novel ◽  
Non Invasive ◽  
Invasive Measurement

Non-invasive measurement of cardiac output in patients with chronic heart failure

2004 ◽  
Vol 9 (5) ◽  
pp. 277-280 ◽  
Author(s):  
Stephen J. Leslie ◽  
Sin??ad McKee ◽  
David E. Newby ◽  
David J. Webb ◽  
Martin A. Denvir
Keyword(s):  
Heart Failure ◽  
Cardiac Output ◽  
Chronic Heart Failure ◽  
Non Invasive ◽  
Invasive Measurement
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