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Kovrov G.V.

Posokhov S.I.

Chernikova A.G.

Funtova I.I.

Shishkina A.A.

Samara State Medical University

Khivintseva E.V.

Samara State Medical University

Zakharov A.V.

Samara State Medical University

Shirolapov I.V.

Samara State Medical University

Validation of ballistocardiography data for predicting the sleep efficiency in healthy individuals and patients with insomnia

Authors:

Kovrov G.V., Posokhov S.I., Chernikova A.G., Funtova I.I., Shishkina A.A., Khivintseva E.V., Zakharov A.V., Shirolapov I.V.

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Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(10): 60‑66

DOI: 10.17116/jnevro202412410160

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Table of contents

To cite this article:

Kovrov GV, Posokhov SI, Chernikova AG, et al. . Validation of ballistocardiography data for predicting the sleep efficiency in healthy individuals and patients with insomnia. S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(10):60‑66. (In Russ.)
https://doi.org/10.17116/jnevro202412410160

Подписка 2025 (S.S. Korsakov Journal of Neurology and Psychiatry)
 
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OBJECTIVE

To identify valid parameters of heart rate variability (HRV) and musculoskeletal movements based on ballistocardiography data, which allow predicting the sleep efficiency (SE) index in healthy individuals and patients with insomnia.

MATERIAL AND METHODS

Ten healthy individuals and 14 patients with chronic insomnia were examined using polysomnography and ballistocardiography. A regression analysis of the data was carried out, as well as a reliability check of the resulting mathematical model.

RESULTS

A mathematical model, universal for healthy individuals and patients with insomnia, has been obtained that allows predicting the SE. The greatest significance in the resulting model is the relative activity of the parasympathetic part of the regulation of the autonomic nervous system, determined by the power spectrum of the high-frequency HRV (%), and motor activity during the first and last hours of sleep. Regression reliability testing showed that the mean SE using polysomnography was 82.84, and the mean predicted SE was 83.85, with a correlation coefficient of 0.65.

CONCLUSION

Parameters of motor activity and HRV in the first and last hours of sleep, recorded using a non-invasive, accessible ballistocardiography method, make it possible to predict the SE index in healthy individuals and patients with insomnia. The results will allow us to propose this method of analysis to increase the effectiveness of therapy for sleep disorders, as well as their rehabilitation.

Keywords:

sleep efficiency
ballistocardiography
heart rate variability
insomnia
rehabilitation

Authors:

Kovrov G.V.

Posokhov S.I.

Chernikova A.G.

Funtova I.I.

Shishkina A.A.

Samara State Medical University

Khivintseva E.V.

Samara State Medical University

Zakharov A.V.

Samara State Medical University

Shirolapov I.V.

Samara State Medical University

Received:

15.04.2024

Accepted:

24.06.2024

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