Articles with public access mandates - Andreas EjupiLearn more
Not available anywhere: 4
A kinect and inertial sensor-based system for the self-assessment of fall risk: A home-based study in older people
A Ejupi, YJ Gschwind, T Valenzuela, SR Lord, K Delbaere
Human–Computer Interaction 31 (3-4), 261-293, 2016
Mandates: National Health and Medical Research Council, Australia
Estimation of Knee Joint Angle using a Fabric-based Strain Sensor and Machine Learning: A Preliminary Investigation
M Gholami, A Ejupi, A Rezaei, A Ferrone, C Menon
2018 7th IEEE International Conference on Biomedical Robotics and …, 2018
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor
A Ejupi, C Galang, O Aziz, EJ Park, S Robinovitch
Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual …, 2017
Mandates: Canadian Institutes of Health Research
Quantification of textile-based stretch sensors using machine learning: An exploratory study
A Ejupi, A Ferrone, C Menon
2018 7th IEEE International Conference on Biomedical Robotics and …, 2018
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
Available somewhere: 12
ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial
YJ Gschwind, S Eichberg, A Ejupi, H de Rosario, M Kroll, HR Marston, ...
European Review of Aging and Physical Activity 12 (1), 1-11, 2015
Mandates: National Health and Medical Research Council, Australia, European Commission
Kinect-Based Five-Times-Sit-to-Stand Test for Clinical and In-Home Assessment of Fall Risk in Older People
A Ejupi, M Brodie, YJ Gschwind, SR Lord, WL Zagler, K Delbaere
Gerontology 62 (1), 2016
Mandates: National Health and Medical Research Council, Australia
Comparison between clinical gait and daily‐life gait assessments of fall risk in older people
MA Brodie, MJ Coppens, A Ejupi, YJ Gschwind, J Annegarn, D Schoene, ...
Geriatrics & gerontology international 17 (11), 2274-2282, 2017
Mandates: National Health and Medical Research Council, Australia
The effect of sensor-based exercise at home on functional performance associated with fall risk in older people–a comparison of two exergame interventions
YJ Gschwind, D Schoene, SR Lord, A Ejupi, T Valenzuela, K Aal, ...
European Review of Aging and Physical Activity 12 (1), 1-9, 2015
Mandates: National Health and Medical Research Council, Australia
ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial
YJ Gschwind, S Eichberg, HR Marston, A Ejupi, H de Rosario, M Kroll, ...
BMC geriatrics 14 (1), 91, 2014
Mandates: National Health and Medical Research Council, Australia, European Commission
New methods for fall risk prediction
A Ejupi, SR Lord, K Delbaere
Current Opinion in Clinical Nutrition & Metabolic Care 17 (5), 407-411, 2014
Mandates: National Health and Medical Research Council, Australia
Wavelet-based sit-to-stand detection and assessment of fall risk in older people using a wearable pendant device
A Ejupi, M Brodie, SR Lord, J Annegarn, SJ Redmond, K Delbaere
IEEE Transactions on Biomedical Engineering 64 (7), 1602-1607, 2017
Mandates: Australian Research Council, National Health and Medical Research Council …
Association between Sedentary Behaviour and Physical, Cognitive, and Psychosocial Status among Older Adults in Assisted Living
PM Leung, A Ejupi, KS van Schooten, O Aziz, F Feldman, DC Mackey, ...
BioMed Research International 2017, 2017
Mandates: Canadian Institutes of Health Research, Michael Smith Foundation for Health …
Choice Stepping Reaction Time test using Exergame technology for fall risk assessment in older people
A Ejupi, M Brodie, YJ Gschwind, D Schoene, S Lord, K Delbaere
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
Mandates: National Health and Medical Research Council, Australia, European Commission
Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors
A Ejupi, C Menon
Sensors 18 (8), 2474, 2018
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
Preliminary Investigation of Textile-Based Strain Sensors for the Detection of Human Gait Phases Using Machine Learning
A Rezaei, A Ejupi, M Gholami, A Ferrone, C Menon
2018 7th IEEE International Conference on Biomedical Robotics and …, 2018
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
Validation of Walking Speed Estimation from Trunk Mounted Accelerometers for a Range of Walking Speeds
SM Rispens, LGE Cox, A Ejupi, K Delbaere, J Annegarn, AG Bonomi
Sensors 21 (5), 1854, 2021
Mandates: National Health and Medical Research Council, Australia, European Commission
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