CardioClin™ Clinical Evidence & Research
HeartForce™ technology is backed by robust clinical science. From 2019 to 2023, we conducted a multicenter study to develop and validate our Electro-mechanical CAD Response Score (EMCR Score™) for non-invasive coronary artery disease screening.
Clinically Validated.
AI-Powered Accuracy.
Electro-mechanical CAD Response Score (EMCR Score™) multicenter clinical study¹,²
Study Design & Population
The study enrolled 2,110 individuals, including:
- Patients with significant CAD (defined as ≥50% stenosis)
- Healthy age-matched control group
- Individuals with mild to moderate occlusions
This diverse cohort ensured a balanced dataset, representative of real-world patient profiles across the CAD risk spectrum.
Validation Methods
Gold-standard diagnostic tests — Coronary CT Angiography (CCTA) and Invasive Coronary Angiography (ICA) — confirmed the findings.
Our clinical study shows that the Electro-mechanical CAD Response Score™ performed a far greater rule-out capability than a Calcium Score and Stress ECG.
Across our data set the EMCR Score™ had a:
Percentage of CAD Positive Patients in Each Category
Related Scientific Perspectives
Beyond disease-specific CAD research, international cardiovascular societies continue to emphasize earlier identification of individuals at cardiovascular risk and preventive care before structural heart disease develops. This broader direction is reflected in the Second Universal Definition of Heart Failure (AHA, ACC, ESC, WHF, 2026).
Published Research
HeartForce’s team is composed of industry leaders in life sciences, medicine, biomedical engineering, and technology. Our research and clinical studies continually advance the fields of medical technology and seismocardiography.
Discover our publications below to learn more:
2026
- Electro-Mechanical Risk Score for Coronary Artery Disease Risk Estimation Using SeismocardiographyP Dehkordi, K Tavakolian, T Rocco, K Fozilov, A Yuldashov, W Zareba, et al. — European Heart Journal – Digital Health, Volume 7, Issue 8, October 2026, ztag139
- Electro-Mechanical Risk Score for Non-Invasive Stratification of Obstructive Coronary Artery DiseaseTo be presented by Parastoo Dehkordi — Canadian Cardiovascular Congress 2026 (CCC2026), Thursday, October 15, 2026, 1:00–1:30 PM (Eastern)
- AI-driven electromechanical model for non-invasive CAD risk assessment across symptom profilesPresenter: Richard Kobza — European Society of Cardiology (ESC) Congress 2026, Munich
2025
- Assessing Coronary Artery Disease Risk Using Seismocardiography in Patients with Chest PainP Dehkordi, K Tavakolian, ZG Xiao, A Yuldashov, F Khosrow-Khavar — 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2024
- Comparing measurements of a heart of a patient before and after one or more surgical proceduresF Khosrow-Khavar, P Dehkordi, ZG Xiao — US Patent Application 18/638,194
2023
- Introducing the Electromechanical Risk Factor Score Derived from Seismocardiography for Estimating the Likelihood of Coronary Artery DiseaseP Dehkordi, K Tavakolian, ZG Xiao, F Khosrow-Khavar — 2023 Computing in Cardiology Conference, Volume 50, pp. 1–4
2022
- Mechanical Deconditioning of the Heart Due to Long-Term Bed Rest as Observed on Seismocardiogram MorphologyB Hoffmann, P Dehkordi, F Khosrow-Khavar, N Goswami, AP Blaber, et al. — npj Microgravity 8(1), 25
2021
- Detecting Coronary Artery Disease Using Rest Seismocardiography and GyrocardiographyP Dehkordi, EP Bauer, K Tavakolian, ZG Xiao, AP Blaber, et al. — Frontiers in Physiology 12, 758727
2020
- Investigating the Estimation of Cardiac Time Intervals Using GyrocardiographyP Dehkordi, K Tavakolian, MJ Tadi, V Zakeri, F Khosrow-Khavar — Physiological Measurement 41(5), 055004
- The Repeatability of Estimated Systolic Time Intervals in Healthy Subjects Using Seismocardiogram and ElectrocardiogramV Zakeri, K Tavakolian, AP Blaber, EP Bauer, P Dehkordi, et al. — Physiological Measurement 41(2), 02NT01
2019
- Estimation of Cardiac Time Intervals from the Mechanical Activity of the Heart Using Machine LearningP Dehkordi, K Tavakolian, T Zhao, V Zakeri, F Khosrow-Khavar — 2019 Computing in Cardiology Conference, pp. 1–4
- Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography InvestigationP Dehkordi, F Khosrow-Khavar, M Di Rienzo, OT Inan, SE Schmidt, et al. — Frontiers in Physiology
- Identifying Patients With Coronary Artery Disease Using Rest and Exercise SeismocardiographyP Dehkordi, EP Bauer, K Tavakolian, V Zakeri, AP Blaber, et al. — Frontiers in Physiology 10, 1211
HeartForce™ welcomes collaborative research partnerships to further expand the clinical and scientific understanding of SCG and CAD risk stratification.
For further information, please contact:
Dr. Parastoo Dehkordi
Email: info@heartforce.com
References
- Dehkordi P, Tavakolian K, Xiao ZG, Khosrow-Khavar F. Introducing the electromechanical risk factor score derived from seismocardiography for estimating the likelihood of coronary artery disease. In: 2023 Computing in Cardiology (CinC); Vol. 50, pp. 1–4. Available from: https://doi.org/10.22489/CinC.2023.371
- Dehkordi P, Tavakolian K, Xiao ZG, Yuldashov A, Khosrow-Khavar F. Assessing coronary artery disease risk using seismocardiography in patients with chest pain. In: 2025 47th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC); 2025 July 14–18; Copenhagen, Denmark. IEEE; 2025. Available from: https://doi.org/10.1109/EMBC58623.2025.11254413
