Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Andrej Bavec"'
Publikováno v:
PLOS Digital Health, Vol 1, Iss 8, p e0000088 (2022)
Predictive models for fall risk classification are valuable for early identification and intervention. However, lower limb amputees are often neglected in fall risk research despite having increased fall risk compared to age-matched able-bodied indiv
Externí odkaz:
https://doaj.org/article/54965e55927f401ba0e46ed3b6539c13
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0247574 (2021)
Fall-risk classification is a challenging but necessary task to enable the recommendation of preventative programs for individuals identified at risk for falling. Existing research has primarily focused on older adults, with no predictive fall-risk m
Externí odkaz:
https://doaj.org/article/0887f77a47bc49648864a5310fab6608
Publikováno v:
Sensors, Vol 22, Iss 5, p 1749 (2022)
The 6-min walk test (6MWT) is commonly used to assess a person’s physical mobility and aerobic capacity. However, richer knowledge can be extracted from movement assessments using artificial intelligence (AI) models, such as fall risk status. The 2
Externí odkaz:
https://doaj.org/article/115e7162ed8345c78787485f02d53621
Publikováno v:
Sensors, Vol 21, Iss 21, p 6974 (2021)
Foot strike detection is important when evaluating a person’s gait characteristics. Accelerometer and gyroscope signals from smartphones have been used to train artificial intelligence (AI) models for automated foot strike detection in able-bodied
Externí odkaz:
https://doaj.org/article/8a5a901a3cba4a58b911f86b09e045ee
Autor:
Andrej Bavec, Ivan Krajnc
Publikováno v:
Zdravniški Vestnik, Vol 77, Iss 9 (2008)
BACKGROUND Individual biological agents, despite their specific activity on targets, cover very broad spectrum of possibilities for use in treatment of different diseases. Their clinical use is limited toexact indications with criteria of use. Biolog
Externí odkaz:
https://doaj.org/article/978c7b968cf9486fb5d58f9ddb3d82ab
Autor:
Andrej Bavec, Milica Mitrovic-Jovanovic, Uros Babic, Dejan Nikolic, Milena M Santric Milicevic, Filip Milanović, Milena Kostadinovic
Publikováno v:
Wiener klinische Wochenschrift. 133:578-585
With the growing increase in the older proportion of the world population, there is also an increase in specific age-related chronic diseases and conditions, including pain. We aimed to evaluate the association of sociodemographic factors with the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae722daefe3e3b04eba3cee9ad3b2a3c
https://doi.org/10.1007/s00508-020-01783-x
https://doi.org/10.1007/s00508-020-01783-x
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 6974, p 6974 (2021)
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 6974, p 6974 (2021)
Sensors
Volume 21
Issue 21
Foot strike detection is important when evaluating a person’s gait characteristics. Accelerometer and gyroscope signals from smartphones have been used to train artificial intelligence (AI) models for automated foot strike detection in able-bodied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0adf5ba4c6fe72f79eb1aa513edd728
https://pubmed.ncbi.nlm.nih.gov/34770281
https://pubmed.ncbi.nlm.nih.gov/34770281
Publikováno v:
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation. 44(2)
The availability of psychometrically-sound and parsimonious outcome measures is key for optimizing decision-making about prosthetic fitting and rehabilitation in lower limb prosthesis users. Despite the increasing clinical use of observational and se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::973febe4b8b2e9c767c359de7f19486a
https://pubmed.ncbi.nlm.nih.gov/33395143
https://pubmed.ncbi.nlm.nih.gov/33395143
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0247574 (2021)
PLoS ONE
PLoS ONE
Fall-risk classification is a challenging but necessary task to enable the recommendation of preventative programs for individuals identified at risk for falling. Existing research has primarily focused on older adults, with no predictive fall-risk m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6046b9c55e2fad7c7f2cf6ba6340a176
https://doaj.org/article/0887f77a47bc49648864a5310fab6608
https://doaj.org/article/0887f77a47bc49648864a5310fab6608
Publikováno v:
EMBC
Identifying people at risk of falling can prevent life altering injury. Existing research has demonstrated fall-risk classifier effectiveness in older adults from accelerometer-based data. The amputee population should similarly benefit from these cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af5b4670d3e425bbc84f9ea535cbe980
https://pubmed.ncbi.nlm.nih.gov/33018917
https://pubmed.ncbi.nlm.nih.gov/33018917