Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Kimberley S. van Schooten"'
Publikováno v:
Frontiers in Sports and Active Living, Vol 5 (2023)
Externí odkaz:
https://doaj.org/article/f013868dca1e46178fc734484414c2a5
Autor:
Sabine Schootemeijer, Roel H. A. Weijer, Marco J. M. Hoozemans, Kim Delbaere, Mirjam Pijnappels, Kimberley S. van Schooten
Publikováno v:
Sensors, Vol 23, Iss 1, p 101 (2022)
Gait quality characteristics obtained from daily-life accelerometry are clinically relevant for fall risk in older adults but it is unknown whether these characteristics are responsive to changes in gait quality. We aimed to test whether accelerometr
Externí odkaz:
https://doaj.org/article/62fde86ac24b4b0fadac539b1dae378c
Autor:
Kimberley S. van Schooten, Jaap H. van Dieen, Mirjam Pijnappels, Andrea B. Maier, Alex J. van ‘t Hul, Martijn Niessen, Rob C. van Lummel
Publikováno v:
BMC Public Health, Vol 18, Iss 1, Pp 1-7 (2018)
Abstract Background Advances in sensor technology allow for objective and high-resolution monitoring of physical activity and sedentary behaviour. Novel epidemiological data is required to provide feedback on an individual’s habitual daily activity
Externí odkaz:
https://doaj.org/article/62019b48bc7f4c198639b51434cde577
Autor:
Yashi Nan, Nigel H. Lovell, Stephen J. Redmond, Kejia Wang, Kim Delbaere, Kimberley S. van Schooten
Publikováno v:
Sensors, Vol 20, Iss 24, p 7195 (2020)
Activity recognition can provide useful information about an older individual’s activity level and encourage older people to become more active to live longer in good health. This study aimed to develop an activity recognition algorithm for smartph
Externí odkaz:
https://doaj.org/article/8045506cbc1740ea9b611aa92c79a46a
Autor:
Sabine Schootemeijer, Roel H.A. Weijer, Marco J.M. Hoozemans, Kimberley S. van Schooten, Kim Delbaere, Mirjam Pijnappels
Publikováno v:
Sensors, Vol 20, Iss 19, p 5580 (2020)
Gait quality characteristics obtained from accelerometry during daily life are predictive of falls in older people but it is unclear how they relate to fall risk. Our aim was to test whether these gait quality characteristics are associated with the
Externí odkaz:
https://doaj.org/article/2dbb0df567a1403bba20703260cbd1f0
Autor:
Espen A. F. Ihlen, Kimberley S. van Schooten, Sjoerd M. Bruijn, Jaap H. van Dieën, Beatrix Vereijken, Jorunn L. Helbostad, Mirjam Pijnappels
Publikováno v:
Frontiers in Aging Neuroscience, Vol 10 (2018)
Age and age-related diseases have been suggested to decrease entropy of human gait kinematics, which is thought to make older adults more susceptible to falls. In this study we introduce a new entropy measure, called phase-dependent generalized multi
Externí odkaz:
https://doaj.org/article/0c612fd6b48740ac95f413bc40b4f70f
Autor:
Espen A. F. Ihlen, Kimberley S. van Schooten, Sjoerd M. Bruijn, Mirjam Pijnappels, Jaap H. van Dieën
Publikováno v:
Frontiers in Physiology, Vol 8 (2017)
Over the last decades, various measures have been introduced to assess stability during walking. All of these measures assume that gait stability may be equated with exponential stability, where dynamic stability is quantified by a Floquet multiplier
Externí odkaz:
https://doaj.org/article/6dff760bdd324b7a81b51e2cb052890a
Publikováno v:
Sensors, Vol 19, Iss 20, p 4388 (2019)
Technological advances in inertial sensors allow for monitoring of daily-life gait characteristics as a proxy for fall risk. The quality of daily-life gait could serve as a valuable outcome for intervention trials, but the uptake of these measures re
Externí odkaz:
https://doaj.org/article/4cfac8460543408c87304d89a9d53a1c
Publikováno v:
Sensors, Vol 18, Iss 5, p 1654 (2018)
Early detection of high fall risk is an essential component of fall prevention in older adults. Wearable sensors can provide valuable insight into daily-life activities; biomechanical features extracted from such inertial data have been shown to be o
Externí odkaz:
https://doaj.org/article/51e8cc958165442aa153a2b64d6f59e3
Autor:
Vicki Komisar, Kimberley S. van Schooten, Olivia M.G. Aguiar, Nataliya Shishov, Stephen N. Robinovitch
Publikováno v:
Archives of Physical Medicine and Rehabilitation. 104:533-540
To characterize the circumstances of falls during sit-to-stand transfers in long-term care (LTC), including the frequency, direction, stepping and grasping responses, and injury risk, based on video analysis of real-life falls.Cohort study SETTING: L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf2446402e6ea660633d9e55a77451a3
https://doi.org/10.1016/j.apmr.2022.10.012
https://doi.org/10.1016/j.apmr.2022.10.012