Recording of Heart Signals From the Chest Wall

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT00661934
Recruitment Status : Unknown
Verified July 2008 by Hillel Yaffe Medical Center.
Recruitment status was:  Recruiting
First Posted : April 21, 2008
Last Update Posted : July 31, 2008
Information provided by:
Hillel Yaffe Medical Center

Brief Summary:
The study goal is to investigate the effect of dialysis/medicinal treatment on cardiac function and heart sounds by recording heart signals from the chest wall.

Condition or disease
Cardiac Malfunction

Detailed Description:

The mechanical functionality of the cardiovascular system is governed by a complex interplay between pressure gradients, determined by the contraction force of the myocardial cells, the dynamics of blood flow and the compliance of cardiac chambers and blood vessels. These mechanical processes produce vibrations and acoustic signals that can be recorded over the chest wall. Vibro-acoustic heart signals, including heart sounds (phonocardiogram), apical pulse (apexcardiogram) and arterial pulse (e.g. carotid pulse) carry valuable clinical information, but their use has been mostly limited to qualitative assessment by manual methods [1] (Figure 1).

The primary research hypothesis of this work is that clinical information regarding the mechanical functionality of the cardiovascular system can be automatically extracted from the vibro-acoustic heart signals by combining medical algorithms with digital signal processing techniques and computational learning algorithms.

The utilization of vibro-acoustic signals in clinical diagnosis and monitoring, by means of computerized devices, has been overlooked for many years due to the introduction of more sophisticated imaging techniques such as echocardiography, cardiac CT and cardiac MRI. However, these valuable techniques require complex and expensive equipment, as well as expert operators and interpreters. In particular, these imaging techniques can not be used continuously or outside of the hospital environment. Recent advancements in sensor technology, wireless communication and miniaturization of high-performance computing devices enable to re-approach the analysis of mechanical heart signals using a broad interdisciplinary view.

The research methodology for achieving the goal of the trial will be as follows:

  1. Vibro-acoustic heart signals including phonocardiogram, apexcardiogram and carotid pulse will be recorded from subjects undergoing dialysis/medicinal Treatment.
  2. The correlation between the progress of the dialysis/medicinal treatment process and the changes in the temporal and morphological characteristics of the vibro-acoustic signals will be investigated.
  3. Signal processing algorithms will be used to automatically analyze the vibro-acoustic signals.

The recorded signals will be saved digitally to the hard-disk of the recording system, along with the measured reference parameters. Signal processing methods [2][3] will be used to segment the signals into distinct components and extract temporal and morphological features. Statistical linear regression will be used to identify significant correlations between features of the vibro-acoustic signals and the reference parameters. Computational learning algorithms will be used to explore non-linear relations and to evaluate the potential of estimating hemodynamic indexes from the vibro-acoustic signals.

This study is intended to evaluate novel methods for non-invasive estimation of cardiac indexes that reflect the mechanical functionality of the heart. Modern digital signal processing techniques and efficient computational learning algorithms can be combined to attain automatic real-time processing of vibro-acoustic signals for continuous monitoring of cardiac functionality and early detection of cardiac pathologies.

Study Type : Observational
Estimated Enrollment : 200 participants
Observational Model: Cohort
Time Perspective: Cross-Sectional
Official Title: Recording of Heart Signals From the Chest Wall
Study Start Date : May 2008
Estimated Primary Completion Date : May 2009
Estimated Study Completion Date : May 2009

Dialysis Group
Cardiac Malfunction Group

Primary Outcome Measures :
  1. Heart sounds recording [ Time Frame: up to 4 hours ]

Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years to 80 Years   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Probability Sample
Study Population

The study will be conducted on a maximum of 200 adult subjects (age above 18), from 2 groups:

Group 1: Dialysis Patients Group 2: Patients after Myocardial Infarction,Patients suffering from CHF, patients in ICCU and patients hospitalized in Cardiology Unit.


Inclusion Criteria:

  • Subject or subject's guardian is able to comprehend and give an Informed consent for participation in the study.
  • Subject has gone through a full physical examination.

Exclusion Criteria:

  • Subject is under 18.
  • Subject has artificial heart valves.
  • Subject suffers from obesity (BMI ≥40).
  • Subject suffers from any kind of skin disease.
  • Subject is clinically unstable (by physician assessment).
  • If subject is a female: subject is pregnant.
  • Subject objection to the study.
  • Concurrent participation in other clinical study.
  • Physician objection.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT00661934

Contact: Simcha Meisel, MD 0523260931

Hillel Yaffe Medical Center Recruiting
Hadera, Israel, 38160
Contact: Simcha Meisel, MD    0523260931   
Sponsors and Collaborators
Hillel Yaffe Medical Center
Principal Investigator: Simcha Meisel, MD Hillel Yafe Medical Center

Responsible Party: Noam Gavriely, CardioAcoustics Identifier: NCT00661934     History of Changes
Other Study ID Numbers: HSR-R-01
First Posted: April 21, 2008    Key Record Dates
Last Update Posted: July 31, 2008
Last Verified: July 2008

Keywords provided by Hillel Yaffe Medical Center:
Subject undergoing Dialysis and Subject suffering from Cardiac Malfunction