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Ballistocardiogram analysis on edge computing nodes

https://doi.org/10.15514/ISPRAS-2018-30(2)-12

Abstract

In this paper we present the contactless method of analyzing the cardiac activity of a person based on recording and analyzing a ballistic cardiogram signal. A measuring device for registration of microscopic movements of the body uses a piezoelectric sensor of high sensitivity. Due to sensor’s high sensitivity, the level of background noise is higher than the signal level, so mathematical methods are used for noise reduction. Butterworth filter is used to extract cardiac signal. This approach is more computationally efficient compared to machine learning-based methods, and can be implemented on an edge computing node to which several sensors are connected. The quality of the signal obtained after filtration allows us to detect cardiac cycles. The algorithm used for detection of heartbeats proposed in this paper is also computationally simple enough to be implemented at the edge node. After preprocessing described above data is transmitted to the datacenter (cloud).

About the Authors

A. S. Nuzhny
Nuclear Safety Institure of the Russian Academy of Sciences
Russian Federation


A. A. Prozorov
Moscow Institute of Physics and Technology
Russian Federation


V. I. Bugaev
Moscow Institute of Physics and Technology
Russian Federation


N. D. Shuvalov
Moscow Institute of Physics and Technology
Russian Federation


V. V. Podumov
Moscow Institute of Physics and Technology
Russian Federation


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Review

For citations:


Nuzhny A.S., Prozorov A.A., Bugaev V.I., Shuvalov N.D., Podumov V.V. Ballistocardiogram analysis on edge computing nodes. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2018;30(2):251-262. (In Russ.) https://doi.org/10.15514/ISPRAS-2018-30(2)-12



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ISSN 2079-8156 (Print)
ISSN 2220-6426 (Online)