The Diagnostic Benefits of the HyperQTM System in ECG Stress Testing

The recruitment status of this study is unknown because the information has not been verified recently.
Verified October 2006 by Assuta Hospital Systems.
Recruitment status was  Recruiting
BSP Biological Signal Processing Ltd.
Information provided by:
Assuta Hospital Systems Identifier:
First received: March 19, 2007
Last updated: April 16, 2015
Last verified: October 2006

March 19, 2007
April 16, 2015
August 2006
Not Provided
  • ST changes
  • HyperQ results
Same as current
Complete list of historical versions of study NCT00449579 on Archive Site
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The Diagnostic Benefits of the HyperQTM System in ECG Stress Testing
The Diagnostic Benefits of the HyperQTM System in ECG Stress Testing

The main objective of this study is to determine the usefulness of the HyperQ™ System in improving the positive predictive value of conventional ECG stress testing.

Patients who are referred for stress test will perform an ECG stress test on a treadmill, with high-frequency ECG recording from conventional 12 leads using BSP's HyperQ™ System. Conventional 12 lead ECG, as well as HyperQ™ recordings will be provided by the HyperQ™ System. The results of the conventional test and the HyperQ™ data will be compared, using one of three cardiac tests (stress echocardiography, SPECT myocardial perfusion imaging and angiography) as gold standards.

Statistical analysis will compare the sensitivity, specificity, PPV and NPV of the conventional and HyperQ™ stress ECG in detecting myocardial ischemia.

The study population will comprise of 1200 patients referred to stress test in three Maccabi clinics or cardiac medical centers. All patients will perform an ECG stress test with high-frequency ECG recording from conventional 12 leads using BSP's HyperQ™ System. The recording will be done without affecting or interfering with any aspect of the normal due course of the test. Standard Bruce protocol or modified Bruce protocol will be used, with standard test termination indications. Two minutes of rest ECG will be recorded prior to stating the protocol.

Following the test, the physician will interpret the test's results in the conventional manner (e.g. ST changes, chest pain, etc) and decide whether the subject should be referred to additional tests.

HyperQ™ data will be analyzed in two phases: (i) Interpretation by the physician in a non-blinded manner one day following the stress test and (ii) after performing all the exercise tests of the study group, blindly to the conventional diagnosis and the HyperQ™ analysis done previously, as well as to other outcomes of imaging procedures. The first HyperQ™ reading will be used to detect the subjects who were positive according to the HyperQ™ system but negative according to the conventional stress testing. These subjects will be referred by the physician to further clinical investigation. The first reading will also be used to assess the physician's interpretation in a scenario that represents a realistic clinical setting, while the second reading will be used to examine the unbiased clinical benefit of HyperQ™ data.

Phase 3
Allocation: Non-Randomized
Endpoint Classification: Efficacy Study
Intervention Model: Single Group Assignment
Masking: Open Label
Primary Purpose: Screening
Myocardial Ischemia
Device: Excercise stress test with high frequency ECG recording (HyperQ™ System)
Not Provided
Not Provided

*   Includes publications given by the data provider as well as publications identified by Identifier (NCT Number) in Medline.
October 2007
Not Provided

Inclusion Criteria:

  • Subject referred to stress ECG
  • Subjects age ≥ 45
  • Subject signed an Informed Consent form

Exclusion Criteria:

  • Subject with contraindications for stress ECG
  • Subject with implantable pacemaker or defibrillator
  • Subject with LBBB
  • Subject with QRS duration ≥ 110 mSec
  • Subject with Wolff-Parkinson-White Syndrome
45 Years and older
Contact: Haim Silber, MD 09 7408811
Contact: Nechi Almogy, MD 03 6474840
Not Provided
Not Provided
Assuta Hospital Systems
BSP Biological Signal Processing Ltd.
Principal Investigator: Haim Silber, MD Maccabi Healthcare Services, Israel
Assuta Hospital Systems
October 2006

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP