Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Andrei Krivošei"'
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9632 (2024)
Background: Heart rate (HR) is a critical biomarker that provides insights into overall health, stress levels, and the autonomic nervous system. Pulse wave signals contain valuable information about the cardiovascular system and heart status. However
Externí odkaz:
https://doaj.org/article/dc5e77ad549a408bafd41f7035d2a599
Publikováno v:
Sensors, Vol 22, Iss 23, p 9351 (2022)
Background: Wearable technologies for monitoring cardiovascular parameters, including electrocardiography (ECG) and impedance cardiography (ICG), propose a challenging research subject. The expectancy for wearable devices to be unobtrusive and miniat
Externí odkaz:
https://doaj.org/article/7f5f761dfe344cf6aa13bd422a49f8c9
Publikováno v:
Sensors, Vol 20, Iss 5, p 1363 (2020)
Changes in a certain parameter are often a few magnitudes smaller than the base value of the parameter, specifying significant requirements for the dynamic range and noise levels of the measurement system. In case of electrical bioimpedance acquisiti
Externí odkaz:
https://doaj.org/article/d5f99e94c95648afb3a76bc5bfe4a750
Autor:
Andrei Krivošei, Andrei Krivoshei
Publikováno v:
2006 International Biennial Baltic Electronics Conference.
This paper presents a design of the bio-impedance signal synthesiser (BISS), based on a model of the waveform of the electrical bio-impedance (BI) signal. To get a simple BI signal model, the shapes of the BI signal components, cardiac and respirator
Autor:
Andrei Krivošei, Andrei Krivoshei
Publikováno v:
Estonian Journal of Engineering. 17:201
The paper presents an overview of the electrical bio-impedance (EBI) signal decomposi- tion into its cardiac and respiratory components. This problem mainly originates from the non- stationarity of the signal components and overlapping of their harmo
Publikováno v:
Elektronika ir Elektrotechnika, Vol 24, Iss 5, Pp 57-61 (2018)
In this work, we investigate the possibility of employing sparse reconstruction framework for the separation of cardiac and respiratory signal components from the bioimpedance measurements. The signal decomposition is complicated by the nonstationari
Externí odkaz:
https://doaj.org/article/a05f5d615dd145a1b760b086c8954812
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering-Body Area Networks. Smart IoT and Big Data for Intelligent Health Management
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030955922
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering-Body Area Networks. Smart IoT and Big Data for Intelligent Health Management
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030955922
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ffdf7ca854274a555bf0f3a651fb7ef