Zobrazeno 1 - 10
of 74
pro vyhledávání: '"wearable accelerometer"'
Publikováno v:
Измерение, мониторинг, управление, контроль, Iss 1 (2024)
Background. The relevance of the topic is determined by the increasingly widespread use of accelerometry data in the field of medicine, as well as in everyday life. The work raises the problem of automated determination of the type of human physical
Externí odkaz:
https://doaj.org/article/cbfc7dd4b1d84fbfa62adf45bb568cf2
Publikováno v:
Sensors, Vol 24, Iss 14, p 4436 (2024)
Lack of physical activity (PA) at a young age can result in health issues. Thus, monitoring PA is important. Wearable accelerometers are the preferred tool to monitor PA in children. Validated thresholds are used to classify activity intensity levels
Externí odkaz:
https://doaj.org/article/5655fd314da44152a6510074b1435eff
Akademický článek
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Autor:
Chengshuo Xia, Yuta Sugiura
Publikováno v:
IEEE Access, Vol 9, Pp 166906-166919 (2021)
Wearable intelligent systems that recognize the daily activities of humans have significantly contributed to many useful applications. However, in practical wearable applications, the target individuals may have different body conditions and demands
Externí odkaz:
https://doaj.org/article/5cd02c3cd9f44ecfb3f892435562723e
Publikováno v:
Systems Science & Control Engineering, Vol 8, Iss 1, Pp 83-96 (2020)
Wearable sensor-based human activity recognition has been widely used in many fields. Considering that a multi-sensor based recognition system is not suitable for practical applications and long-term activity monitoring, this paper proposes a single
Externí odkaz:
https://doaj.org/article/7171a919600a48e1bfbaae51834a0bbf
Publikováno v:
Sensors, Vol 23, Iss 1, p 193 (2022)
The walkability of a neighborhood impacts public health and leads to economic and environmental benefits. The condition of sidewalks is a significant indicator of a walkable neighborhood as it supports and encourages pedestrian travel and physical ac
Externí odkaz:
https://doaj.org/article/9196c9c55fea4934bf6e44c3ea86d2f7
Publikováno v:
Sensors, Vol 22, Iss 23, p 9122 (2022)
Parkinson’s disease is a neurodegenerative disorder impacting patients’ movement, causing a variety of movement abnormalities. It has been the focus of research studies for early detection based on wearable technologies. The benefit of wearable t
Externí odkaz:
https://doaj.org/article/20c1ebe19bec476db7ef6a309f600ae2
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Autor:
Oliva, Vincenzo, Fanelli, Giuseppe, Zamparini, Manuel, Zarbo, Cristina, Rocchetti, Matteo, Casiraghi, Letizia, Starace, Fabrizio, Martinelli, Alessandra, Serretti, Alessandro, de Girolamo, Giovanni, Pelizza, Lorenzo, the Diapason Consortium
Publikováno v:
International Clinical Psychopharmacology, 38, 28-39
International Clinical Psychopharmacology, 38, 1, pp. 28-39
International Clinical Psychopharmacology, 38, 1, pp. 28-39
Antipsychotic polypharmacy (APP) in patients with schizophrenia spectrum disorders (SSDs) is usually not recommended, though it is very common in clinical practice. Both APP and SSDs have been linked to worse health outcomes and decreased levels of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fd8777ff106fa9536f1133236745ced
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/286691
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/286691
Publikováno v:
Sensors, Vol 20, Iss 18, p 5033 (2020)
This paper presents a method to integrate and package an accelerometer within a textile to create an electronic textile (e-textile). The smallest commercially available accelerometer sensor (2 mm × 2 mm × 0.95 mm) is used in the e-textile and is fu
Externí odkaz:
https://doaj.org/article/02e0500fba324e42a89788ea45620b5a