Key result
A novel technique using the Hilbert-Huang transform enables the identification and selection of optimal electrocardiosignal markers for assessing developmental deficits in children.
Why the study?
Societal transformations adversely impact youth psychophysiological health, warranting interdisciplinary approaches to evaluate body organ systems functioning and assess developmental deficits.
Does the Hilbert-Huang transform enable the identification of optimal electrocardiosignal markers for developmental deficits in children?
Does the Hilbert-Huang transform enable the identification of optimal electrocardiosignal markers for developmental deficits in children?
The application of the Hilbert-Huang transform to electrocardiosignals provides a novel interdisciplinary method for identifying physiological markers of developmental deficits in children.
Social, economic, and cultural transformations in the society inevitably affect youth development guidelines. These transformations often fail to consider individual characteristics of human growth and development, having an adverse impact on psychophysiological health status: cognitive performance decreases, and anxiety and hyperactivity levels increase. An interdisciplinary approach and an effective use of various diagnostic methods enhance the analysis of human body organ systems functioning, considering an expertise of engineering, medical, biological, and psychological sciences. The paper reviews methods for assessing developmental deficits in children and adolescents by means of electrophysiological measurements of cardiac action potentials. A novel technique for assessing developmental deficits using the Hilbert-Huang transform has been presented. This technique enables us to comprehensively trace the process of searching for optimal electrocardiosignal (ECS) markers in children with developmental deficits. Identification and selection of signal markers for developmental deficits is based on a combination of optimal decomposition results and mathematical analysis of the studied ECS.
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Tychkov et al. (2022) conducted a review in Developmental deficits. Hilbert-Huang transform of electrocardiosignals was evaluated. A novel technique using the Hilbert-Huang transform enables the identification and selection of optimal electrocardiosignal markers for assessing developmental deficits in children.
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