The diagnostic systems are backed by clinical studies, dissertations and 30 years of use.
Some links go to external repositories; full text depends on the publisher. Without a translation, the paper stays in the original language.
CardioLab - Electrocardiography and HRV
Equipment
Scientific Study: Effect of caffeine on heart rate variability in doxorubicin cardiomyopathy
Experimental study, 2025. In press. Analysis via CardioLab.
Hypodynamia and gonadectomy: impact on HRV parameters in experimental rats
Experimental Physiology Group, 2025. Pre-print. Research on adaptive capabilities.
Nazarenko V. I., Berestovskyi O. S., Moroz H. Z. Heart rate variability in COVID-19 patients with different levels of cardiovascular risk
Wiadomości Lekarskie, 2022, Vol. 75, Iss. 4, pp. 845-850. HRV study in COVID-19.
Kudiy L. I., Varetska O. V., Kudiy S. V. Reliability of "Rytm" software for heart rate variability analysis
Journal of Physical Education and Sport, 2020, Vol. 20 (6), Art 427, pp. 3154-3160. "Rytm" SW validation.
Source
Davidich Yu., Kush Ye., Ponkratov D. Changes in the driver’s stress index during different periods of the day in urban traffic
Transport Technologies, 2020, Iss. 1, No. 2. Measurements with KHAI-MEDICA equipment.
Source
Kentesh O. P., Nemesh M. I. Functional state of the autonomic nervous system depending on the body composition
Wiadomości Lekarskie, 2018, Vol. 71, Iss. 2, pp. 312-316.
Tymoshchuk O. V. Diagnosis of adaptation disorders in children with chronic gastroduodenitis based on HRV indicators
Child's Health, 2016, No. 7 (75). Autonomic status assessment.
Syvolap V. D., Kyselov S. M. Level of matrix metalloproteinase-9 and myocardium remodeling in patients with acute postinfarction aneurism of left ventricle
Zaporozhye Medical Journal.
Source
Syvolap V. V., Kyselov S. M., Apolikhin O. I. Structural-geometric and functional assessment of myocardium in patients with stage II hypertension
Zaporozhye Medical Journal, 2012, No. 1 (70), pp. 34-37. CardioLab application.
Yavorskyy B. I., Zabytivskyy V. P. Identification of morphological parameters of a computational model of the electrocardiosignal
Bulletin of TSTU, 2008, Vol. 13, No. 3, pp. 115–120. Mentions KHAI-MEDICA equipment.
Source
ReoCom - Rheography and Endothelial Function
Equipment
Patent No. 121689: Method for assessing central aortic pressure
Registered in the State Patent Register of Ukraine, 10.07.2020.
PDF
Patent No. 120800: Method for measuring blood pressure
Registered in the State Patent Register of Ukraine, 10.02.2020.
PDF
Patent No. 118939: Method for assessing the function of arterial vessel endothelium
Registered in the State Patent Register of Ukraine, 25.03.2019.
PDF
Study of endothelial regulation of vascular tone (Parts 1 and 2)
Methodological guide, 2014. XAI-Medica. Step-by-step guide.
Part 1Part 2
Fedorov A. A. Functional state of endothelium in patients with vasospastic angina
Journal of Cardiovascular Diseases, 2014. Clinical study.
Penelova Z. V. Features of psychophysiological reaction when using the "ReoCom-stress" complex
Zaporozhye Medical Journal, 2013, No. 4 (79).
Blood pressure in symmetric vascular basins: rheographic assessment
Methodological article, 2012. Measurement protocol with ReoCom.
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Assessment of cerebral blood flow volumetric velocity (according to Paleev)
XAI-Medica Methodological guide, 2008. Kharkiv.
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Selection of informational parameters in rheographic assessment of endothelial function in a reactive hyperemia test
XAI-Medica Methodological Recommendations, 2007. Kharkiv.
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Assessment of the vascular system based on rheographic measurement results
Scientific and methodological review. Data interpretation algorithms.
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New approaches to vascular system assessment based on rheographic studies
Methodological materials. Application in clinical practice.
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Pulse wave velocity and elastic properties of arterial vessels
Methodological development. Arterial stiffness assessment.
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Rheographic assessment of peripheral circulation (Full archive)
XAI-Medica Collection. Methods and results.
PDF
Bryk O., Pastukh O. Extraction of important data for cognitive software systems based on data science
Scientific Journal of TNTU, 2025, Vol. 117, No. 1, pp. 62–66. EEG via NeuroCom.
Source
Stefanyshyn V., Stefanyshyn I., Pastukh O., Kulikov S. Comparison of the accuracy of machine learning algorithms for brain-computer interaction based on high-performance computing technologies
Scientific Journal of TNTU, 2024, Vol. 115, No. 3, pp. 82–90. KHAI-MEDICA equipment.
Source
Pastukh O., Yatsyshyn V. Development of software for neuromarketing based on artificial intelligence and data science using high-performance computing and parallel programming technologies
Scientific Journal of TNTU, 2024, Vol. 113, No. 1, pp. 143–149. EEG research.
Source
Mushta S. A., Palamar S. P., Harmatiuk D. V., Popov A. O., Alves Ferreira J. M., Makarchuk M. Yu., Tukaiev S. V. EEG frequencies pattern as brain signature of emotional burnout. Anxiety tension stage formation
Clinical and Preventive Medicine, 2025, No. 1 (39), pp. 92–100.
Source
Yukhymenko O. V. Features of EEG patterns in individuals with different functional mobility of nervous processes
PhD Thesis. Taras Shevchenko National University of Kyiv, 2015. NeuroCom research.
Shpenkov O. O., Tukaiev S. V., Zyma I. G., Kryzhanovskyi S. A. EEG dynamics during listening to rock music with modified frequency structure
Cherkasy University Bulletin: Biological Sciences Series, 2016.
Source
Kryzhanovsky S. A. Correlation between activity efficiency and EEG parameters
Neurophysiology, 2009. Fundamental study.