DOI: https://doi.org/10.31071/kit2020.16.03

Inventory reference

ISSN 1812-7231 Klin.inform.telemed. Volume 15, Issue 16, 2020, Pages 45-56

Author(s)

L. S. Feinsilberg

Institution(s)

International Research and Training Center for Information Technologies and Systems NAS and MES of Ukraine, Kiev

Article title

Intelligent digital medicine for home using

Abstract (resume)

Introduction. One of the challenges of digital medicine is to bring medical devices closer to the patient. The aim of the study is to demonstrate the capabilities of intelligent information technologies in solving this problem using examples of building innovative digital tools for home ussng.

Methods. The problem of photoplethysmogram registration using the built-in smartphone camera without additional technical means is investigated. The phalanx image sequences of the finger are processed using a chain of original algorithms that are aimed at reducing the likelihood of errors caused by "masking" the true wave bursts generated by heartbeats and the appearance of false bursts caused by random distortions and artifacts.

Results. The developed algorithms are software implemented in a mobile application for a smartphone — AI-RITMOGRAPH for assessing the body's adaptive reserves at home. The tests have confirmed the reproducibility and high accuracy of the results, which were formed by the mobile application. When testing 26 volunteers of different genders aged 20 to 82 years and comparing the results of the analysis of HRV indicators with the data obtained from parallel ECG records, it was found that the discrepancies in the results were within 1–2%.

Conclusion. The experience of developing AI-RHYTHMOGRAPH is advisable to use when creating other self-sufficient applications for a smartphone that allow an integral assessment of the elasticity of blood vessels, check visual acuity and hearing, control the vestibular apparatus and receive timely information on respiratory disorders requiring in-depth examination.

Keywords

Information technology, Photoplethysmogram, Heart rate variability, Smartphone

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