Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Olev Märtens"'
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
Autor:
Margus Metshein, Anar Abdullayev, Antoine Gautier, Benoit Larras, Antoine Frappe, Barry Cardiff, Paul Annus, Raul Land, Olev Märtens
Publikováno v:
Sensors, Vol 23, Iss 16, p 7111 (2023)
Background: Cardiovascular diseases (CVDs), being the culprit for one-third of deaths globally, constitute a challenge for biomedical instrumentation development, especially for early disease detection. Pulsating arterial blood flow, providing access
Externí odkaz:
https://doaj.org/article/3bec0d8f2fa14e438e0309814fe2d829
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:
Margus Metshein, Paul Annus, Raul Land, Marek Rist, Mart Min, Kristina Lotamõis, Olev Märtens
Publikováno v:
Journal of Sensors. 2023:1-16
Background. Today, central aortic pressure (CAP) is measured through the invasive procedure of angiography. The only feasible alternative is applanation tonometry, requiring experienced staff to perform reliable measurements. The method of measuring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30a4d6696993374d1c4fc21ac45df902
https://doi.org/10.1155/2023/5710835
https://doi.org/10.1155/2023/5710835
Publikováno v:
IEEE Access, Vol 12, Pp 25188-25199 (2024)
Electrocardiogram (ECG) data’s high dimensionality challenges real-time arrhythmia classification. Our approach employs functional approximation to condense ECG recordings into a compact feature set for simpler classification using Chebyshev polyno
Externí odkaz:
https://doaj.org/article/77708a6d4f094f3e981ee1090e21b212
Publikováno v:
Impedance Spectroscopy ISBN: 9783110558920
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e38d5f92577a05b1cbc4c429e9fea656
https://doi.org/10.1515/9783110558920-012
https://doi.org/10.1515/9783110558920-012
Autor:
Rauno Gordon, Olev Märtens
Publikováno v:
ECMI 2016 Book of Abstracts: 19th European Conference on Mathematics for Industry
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::2f2820d8dfe4145eae337a78be848058
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