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Completed

NCT Number: NCT04772807

Validation of Kinocardiography, a New Technology Measuring Cardiac Mechanical Activity Via Accelerometers and Gyroscopes

Kinocardiographic measures mechanical and electrical function of the heart. The proposed solution is based on measurements of body vibrations. By measuring these movements on the surface of the body, it is possible to deduce, taking into account the individual's weight and size, the quality of the heartbeat that caused this vibration. The technique developed consists of a device measuring these vibrations at two places in the body: on the torso (Seismocardiography) and on the lower back (Ballistocardiography). The first measurement is a reflection of the local strength of the heartbeat as well as the transmission of blood to the body's main artery, the aorta. The second measurement, in the lower back, is the result of the contraction and movement of blood within the arterial system. Based on these two measurements, the energy produced by the heart and transmitted to the torso or the whole body is calculated. The energy over an entire cardiac cycle and the distribution of that energy within a heartbeat are used to characterize the mechanical function of the heart.

Clinical studies carried out previously have demonstrated the repeatability of kinocardiographic measurements (KCG) and their robustness with respect to the use of different sensors.

KCG measurements also showed a high sensitivity (> 94%) to different hemodynamic states induced by the injection of active inotropic agents, i.e. dobutamine also used as a treatment for heart failure in an advanced stage. In a randomized, double-blind, cross-over study controlled by Placebo, these measurements showed a strong correlation (r = 0.8, p <0.0001) with cardiac output measured by echocardiography. The technique has also demonstrated its ability to track changes in cardiac mechanical function during expiratory voluntary apnea.

KCG measurements were also evaluated during a micro-gravity simulation in Bedrest on 23 healthy volunteers. The measurements tracked cardiac deconditioning in the control group compared to the exercise group similarly to cardiac MRI measurements. Subsequently, KCG metrics showed an ability to distinguish reduced ejection fraction (HFrEF) heart failure patients from non-insufficient patients. These latest results also showed that the chest sensor alone was sufficient to separate HFrEF patients from normative patients, laying the foundation for possible use of the smartphone alone.

The prototype of a mobile application, named OKCARDIO, makes it possible to take measurements perfectly similar to the Kino thoracic sensor, but to date have never been used it in a clinical study. Such a tool would allow anyone with a smartphone-type mobile phone to measure their cardiac mechanical function themselves and make it available to the attending physician.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Erasme Hospital

Brussels, 1070, Belgium

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults aged above 18 years old.
  • BMI (Body Mass Index) is below 50 kg/m2.
  • Fit in one of the groups

Exclusion criteria

  • Patients younger than 18 years old.
  • BMI (Body Mass Index) higher than 50 kg/m2.

Treatment and study plan

Kinocardiograph

Device

Measure with the Kinocardiograph device and the Okcardio application installed on a smartphone

Other names: OKCARDIO smart application

Primary outcomes

  1. Feasibility of KCG measurement performed by the patients themselves

    Time frame: 12 weeks

    Feasibility is assessed by a repeatability score, namely the intraclass correlation coefficients ranging from 0, a non repeatable measure to 1 a perfectly repeatable measure .The score is computed between measure done at the hospital by a professional and the one done by the patient at the hospital and at home.

  2. Validation of KCG parameters by comparisons from different modalities: Kinocardiograph device and OKCARDIO smartphone application.

    Time frame: Through study completion, an average of 1 year

  3. Repeatability of OKCARDIO smartphone application recorded by an experimented operator and by the patient

    Time frame: Through study completion, an average of 1 year

Secondary outcomes

  1. Compliance percentage of patients measuring KCG at home with the OKCARDIO smartphone application or the Kinocardiograph device.

    Time frame: 12 weeks

  2. Mean and interquartile ranges of KCG derived HRV over the observation period.

    Time frame: Through study completion, an average of 1 year

    Mean and interquartile ranges of KCG derived HRV over the observation period in patients with active clinical syndromes that may be concomitant in the field of cardiac disorders (hypertension, atrial fibrillation, ischemia, valvulopathy, heart-failure,…) and pulmonary (asthma, infection,..). These clinical diagnoses are supported by the physical examination and the patient's medical record at inclusion.

  3. Mean and interquartile ranges of KCG derived HR over the observation period.

    Time frame: Through study completion, an average of 1 year

    Mean and interquartile ranges of KCG derived HR over the observation period in patients with active clinical syndromes that may be concomitant in the field of cardiac disorders (hypertension, atrial fibrillation, ischemia, valvulopathy, heart-failure,…) and pulmonary (asthma, infection,..). These clinical diagnoses are supported by the physical examination and the patient's medical record at inclusion.

  4. Adverse events related to the use of the Kinocardiograph devices and/or OKCARDIO smartphone. Count of adverse events.

    Time frame: Through study completion, an average of 1 year

  5. Mean and interquartile ranges of KCG parameters (Kinetic Energy, namely iK) over the observation period.

    Time frame: Through study completion, an average of 1 year

  6. Build a predictive score on a selection of several kinocardiography parameters based on machine learning algorithms with the aim to sort patients according to their pathological status.

    Time frame: 12 weeks

Sponsors and collaborators

Lead sponsor

Erasme University Hospital

Other

Registry information

Important dates

Study start
2021
Primary completion
2023
Study completion
2024
First posted
Feb 26, 2021
Registry last updated
Feb 22, 2024

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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