Detection of Coronary Artery Disease With Micro Electro-Mechanical Sensors
Detection of Coronary Artery Disease With Micro Electro-Mechanical Sensors
Heart diseases are the most common cause of morbidity and mortality in the western world.
 Coronary artery disease (CAD) alone is estimated to affect 110 million people globally and
 resulted in 8.9 million deaths in 2015.

 A hallmark phenomenon in the development of CAD is the formation of arterial stenoses
 eventually limiting the arterial circulation. Myocardial ischemia caused by the stenoses may
 present symptoms considered typical, i.e, angina pectoris chest pain, but the symptoms may
 vary up to an asymptomatic state. Estimating the pre-test likelihood of angiographically
 significant CAD (≥50% diameter stenotic CAD) is a fundamental component in the initial
 evaluation of symptomatic patients presenting with suspected CAD. This determination directly
 influences subsequent decisions for noninvasive diagnostic testing and treatment. However,
 studies have shown a relatively low prevalence of either ischemia or obstructive CAD on
 noninvasive imaging and invasive angiography (IA) in this population. Therefore, additional
 methods are needed to improve patient selection for such testing.

 Mechanocardiography (MCG) assesses the condition of the heart by measuring the mechanical
 activity (cardiac muscle motion) of the heart from the surface of thorax. MCG can be measured
 with accelerometer and gyroscope which react to recoil and vibration caused my cardiac
 contraction.

 This study aims to validate how the gyroscope and accelerometer derived parameters can
 identify patients with hemodynamically significant CAD in combined contrast computed
 tomography (CT) coronary angiography and positron emission tomography (PET) perfusion imaging
 in combination of high-sensitive troponin testing. The performance of different MCG
 algorithms will be tested offline as a head-to-head comparison with medical history,
 cardiovascular events, high-sensitive troponin values, coronary computed tomography
 angiography (CCTA) and PET scan results.
Inclusion Criteria:

 -  Age > 18 years

 -  Patients visiting hospital for suspected CAD and undergoing CCTA

 -  Signed informed consent as an acceptance to participate to the trial

 Exclusion Criteria:

 -  informed consent not signed