Actigraphy in Holter Monitoring for Assessment of Sleep Parameters and Periods


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Resumo

An automated algorithm for identifying periods of sleep and waking using data from the motor activity of the subject’s thoracic cage is proposed. The algorithm is based on accelerometry and is intended as a component of systems used for prolonged monitoring of cardiovascular system functions. Use of this algorithm allows trace segments to be defined as “sleep” or “waking” with accuracies of up to 77.6% in the overall cohort, 83.7% when there are no sleep disorders, and 70.5% in patients with respiratory abnormalities during sleep. Use of the algorithm in Holter monitoring systems in routine practice will help improve the accuracy of diagnostic results in cardiovascular diseases and the detection of sleep disorders.

Sobre autores

A. Tomskikh

Private Company Inkart NAO

Autor responsável pela correspondência
Email: tomskikh.as@gmail.com
Rússia, St. Petersburg

M. Bochkarev

V. A. Almazov Federal North-West Medical Research Center, Ministry of Health of the Russian Federation

Email: tomskikh.as@gmail.com
Rússia, St. Petersburg

E. Yakushenko

Private Company Inkart NAO

Email: tomskikh.as@gmail.com
Rússia, St. Petersburg

V. Gumennyi

Private Company Inkart NAO

Email: tomskikh.as@gmail.com
Rússia, St. Petersburg

L. Korostovtseva

V. A. Almazov Federal North-West Medical Research Center, Ministry of Health of the Russian Federation

Email: tomskikh.as@gmail.com
Rússia, St. Petersburg

Yu. Sviryaev

V. A. Almazov Federal North-West Medical Research Center, Ministry of Health of the Russian Federation

Email: tomskikh.as@gmail.com
Rússia, St. Petersburg

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