Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Andreas Ejupi"'
Autor:
Sietse M. Rispens, Lieke G. E. Cox, Andreas Ejupi, Kim Delbaere, Janneke Annegarn, Alberto G. Bonomi
Publikováno v:
Sensors, Vol 21, Iss 5, p 1854 (2021)
Walking speed is a strong indicator of the health status of older people and patients. Using algorithms, the walking speed can be estimated from wearable accelerometers, which enables minimally obtrusive (longitudinal) monitoring. We evaluated the pe
Externí odkaz:
https://doaj.org/article/09884856c8e143dc88795716a385b7c9
Autor:
Andreas Ejupi, Carlo Menon
Publikováno v:
Sensors, Vol 18, Iss 8, p 2474 (2018)
Social isolation and loneliness are major health concerns in young and older people. Traditional approaches to monitor the level of social interaction rely on self-reports. The goal of this study was to investigate if wearable textile-based sensors c
Externí odkaz:
https://doaj.org/article/59262fffb75b441f9f1a603b577316be
Autor:
Kim Delbaere, Andreas Ejupi, Lieke G. E. Cox, Janneke Annegarn, Alberto G. Bonomi, Sietse M. Rispens
Publikováno v:
Sensors, Vol 21, Iss 1854, p 1854 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 5
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 5
Walking speed is a strong indicator of the health status of older people and patients. Using algorithms, the walking speed can be estimated from wearable accelerometers, which enables minimally obtrusive (longitudinal) monitoring. We evaluated the pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3d952fba4c759de6011d41024909e09
https://www.mdpi.com/1424-8220/21/5/1854
https://www.mdpi.com/1424-8220/21/5/1854
Autor:
Matthew A. Brodie, Yves J. Gschwind, Rainer Wieching, Janneke Annegarn, Andreas Ejupi, Daniel Schoene, Kim Delbaere, Stephen R. Lord, Milou J. M. Coppens
Publikováno v:
Geriatrics & Gerontology International. 17:2274-2282
Aim Falls are a leading cause of disability in older people. Here we investigate if daily-life gait assessments are better than clinical gait assessments at discriminating between older people with and without a history of falls. Methods A total of 9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ffc23956866a4148bc9736695bba2f8
https://doi.org/10.1111/ggi.12979
https://doi.org/10.1111/ggi.12979
Autor:
Maureen C. Ashe, Kimberley S. van Schooten, Stephen N. Robinovitch, Fabio Feldman, Andreas Ejupi, Omar Aziz, Dawn C. Mackey, Pet-Ming Leung
Publikováno v:
BioMed Research International, Vol 2017 (2017)
BioMed Research International
BioMed Research International
Objective. Identification of the factors that influence sedentary behaviour in older adults is important for the design of appropriate intervention strategies. In this study, we determined the prevalence of sedentary behaviour and its association wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30ccbfb93caa6beee70c5a7d83b3cd11
https://doi.org/10.1155/2017/9160504
https://doi.org/10.1155/2017/9160504
Publikováno v:
BioRob
Goal: Textile-based stretch sensors are a novel and innovative alternative to traditional wearable sensors with applications in many different fields including robotics, virtual reality and healthcare. However, due to their non-linear properties it c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af80b1d12d9f7ce97b3f009d9a5a05cb
https://doi.org/10.1109/biorob.2018.8487215
https://doi.org/10.1109/biorob.2018.8487215
Publikováno v:
BioRob
Human gait analysis is a common but also challenging method to diagnose and characterize gait disorders. In recent years, wearable technologies have been investigated for gait analysis including gait phase detection with promising results. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b39b39ce3fdef7541cf84b2bc7f10ff5
https://doi.org/10.1109/biorob.2018.8487880
https://doi.org/10.1109/biorob.2018.8487880
Autor:
Rafik Goubran, Stephen N. Robinovitch, Andreas Ejupi, Bobbi Symes, Bryan Lo, Frank Knoefel, Xiaochuan He, Stephanie L. Bennett
Publikováno v:
MeMeA
Falls are the number one cause of unintentional injuries and among the top-ten causes of deaths for older adults. An improved understanding of the causes of falls may lead to better approaches to prevention. Changes in blood pressure and heart rate c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76fdf5c3ff59a95695dbd371c769060c
https://doi.org/10.1109/memea.2018.8438773
https://doi.org/10.1109/memea.2018.8438773
Publikováno v:
Human–Computer Interaction. 31:261-293
Falls remain an important problem in older people. There is strong evidence that falls can be prevented with appropriately designed intervention programs. To start a targeted fall prevention program, a first step is to identify those at high risk of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e42b7e3450b207a1eb704e518eafceb0
https://doi.org/10.1080/07370024.2015.1085309
https://doi.org/10.1080/07370024.2015.1085309
Publikováno v:
EMBC
Goal: Falls are a major source of morbidity in older adults, and 50% of older adults who fall cannot rise independently after falling. Wearable sensor-based fall detection devices may assist in preventing long lies after falls. The goal of this study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ed7603d947df3ad9a0d2d2a70ab7fa9
https://pubmed.ncbi.nlm.nih.gov/29060322
https://pubmed.ncbi.nlm.nih.gov/29060322