Citations (24)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (1)
Reinhold Haux, Andreas Hein, Gerald Kolb, Harald Künemund & Marco Eichelberg. (2014) Five years of interdisciplinary research on ageing and technology: Outcomes of the Lower Saxony Research Network Design of Environments for Ageing (GAL) – An introduction to this Special Issue on Ageing and Technology. Informatics for Health and Social Care 39:3-4, pages 161-165.
Read now
Read now
Articles from other publishers (23)
Dayananda Pruthviraja, Sowmyarani C. Nagaraju, Niranjanamurthy Mudligiriyappa, Mahesh S. Raisinghani, Surbhi Bhatia Khan, Nora A. Alkhaldi & Areej A. Malibari. (2023) Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm. Diagnostics 13:16, pages 2687.
Crossref
Crossref
Rosemary Dubbeldam, Yu Yuan Lee, Juliana Pennone, Luis Mochizuki & Charlotte Le Mouel. (2023) Systematic review of candidate prognostic factors for falling in older adults identified from motion analysis of challenging walking tasks. European Review of Aging and Physical Activity 20:1.
Crossref
Crossref
D. Kelly, J. Condell, J. Gillespie, K. Munoz Esquivel, J. Barton, S. Tedesco, A. Nordstrom, M. Åkerlund Larsson & A. Alamäki. (2022) Improved screening of fall risk using free-living based accelerometer data. Journal of Biomedical Informatics 131, pages 104116.
Crossref
Crossref
Luis Galhardas, Armando Raimundo, Jesús Del Pozo-Cruz & José Marmeleira. (2022) Physical and Motor Fitness Tests for Older Adults Living in Nursing Homes: A Systematic Review. International Journal of Environmental Research and Public Health 19:9, pages 5058.
Crossref
Crossref
Yehuda Weizman, Oren Tirosh, Jeanie Beh, Franz Konstantin Fuss & Sonja Pedell. (2021) Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review. International Journal of Environmental Research and Public Health 18:23, pages 12735.
Crossref
Crossref
Jelena Bezold, Janina Krell-Roesch, Tobias Eckert, Darko Jekauc & Alexander Woll. (2021) Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review. European Review of Aging and Physical Activity 18:1.
Crossref
Crossref
Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, Dakota A. Allen, Lukas Adamowicz, Dale Larie, Andrew J. Solomon, Nick Cheney & Ryan S. McGinnis. (2021) Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis. IEEE Journal of Biomedical and Health Informatics 25:5, pages 1824-1831.
Crossref
Crossref
Ivana Kiprijanovska, Hristijan Gjoreski & Matjaž Gams. (2020) Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep Learning. Sensors 20:18, pages 5373.
Crossref
Crossref
Santos Bringas, Sergio Salomón, Rafael Duque, Carmen Lage & José Luis Montaña. (2020) Alzheimer’s Disease stage identification using deep learning models. Journal of Biomedical Informatics 109, pages 103514.
Crossref
Crossref
Mirko Job, Alberto Dottor, Antonello Viceconti & Marco Testa. (2020) Ecological Gait as a Fall Indicator in Older Adults: A Systematic Review. The Gerontologist 60:5, pages e395-e412.
Crossref
Crossref
Can Tunca, Gulustu Salur & Cem Ersoy. (2020) Deep Learning for Fall Risk Assessment With Inertial Sensors: Utilizing Domain Knowledge in Spatio-Temporal Gait Parameters. IEEE Journal of Biomedical and Health Informatics 24:7, pages 1994-2005.
Crossref
Crossref
Ríona Mc Ardle, Silvia Del Din, Brook Galna, Alan Thomas & Lynn Rochester. (2020) Differentiating dementia disease subtypes with gait analysis: feasibility of wearable sensors?. Gait & Posture 76, pages 372-376.
Crossref
Crossref
Gilles Allali & Joe Verghese. 2020. Falls and Cognition in Older Persons. Falls and Cognition in Older Persons
211
228
.
Shirin Modarresi, Alison Divine, Jessica A. Grahn, Tom J. Overend & Susan W. Hunter. (2018) Gait parameters and characteristics associated with increased risk of falls in people with dementia: a systematic review. International Psychogeriatrics 31:9, pages 1287-1303.
Crossref
Crossref
Barbara Hanratty, Dawn Craig, Katie Brittain, Karen Spilsbury, John Vines & Paul Wilson. (2019) Innovation to enhance health in care homes and evaluation of tools for measuring outcomes of care: rapid evidence synthesis. Health Services and Delivery Research 7:27, pages 1-178.
Crossref
Crossref
Rong Hu, Xiaozhao Deng, Xiaoning Sun, Yuxiang Zhao & Qinghua Zhu. 2019. Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance. Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance
46
55
.
Stefan Teipel, Alexandra König, Jesse Hoey, Jeff Kaye, Frank Krüger, Julie M. Robillard, Thomas Kirste & Claudio Babiloni. (2018) Use of nonintrusive sensor‐based information and communication technology for real‐world evidence for clinical trials in dementia. Alzheimer's & Dementia 14:9, pages 1216-1231.
Crossref
Crossref
Ahmet C. Baktir, Can Tunca, Atay Ozgovde, Gulustu Salur & Cem Ersoy. (2018) SDN-Based Multi-Tier Computing and Communication Architecture for Pervasive Healthcare. IEEE Access 6, pages 56765-56781.
Crossref
Crossref
Gilles Allali & Joe Verghese. (2017) Management of Gait Changes and Fall Risk in MCI and Dementia. Current Treatment Options in Neurology 19:9.
Crossref
Crossref
Alicia Nieto-Reyes, Rafael Duque, José Montaña & Carmen Lage. (2017) Classification of Alzheimer’s Patients through Ubiquitous Computing. Sensors 17:7, pages 1679.
Crossref
Crossref
Rebecca Palm, Saskia Jünger, Sven Reuther, Christian G. G. Schwab, Martin N. Dichter, Bernhard Holle & Margareta Halek. (2016) People with dementia in nursing home research: a methodological review of the definition and identification of the study population. BMC Geriatrics 16:1.
Crossref
Crossref
Valerie A. J. Block, Erica Pitsch, Peggy Tahir, Bruce A. C. Cree, Diane D. Allen & Jeffrey M. Gelfand. (2016) Remote Physical Activity Monitoring in Neurological Disease: A Systematic Review. PLOS ONE 11:4, pages e0154335.
Crossref
Crossref
Tal Shany, Kejia Wang, Ying Liu, Nigel H. Lovell & Stephen J. Redmond. (2015) Review: Are we stumbling in our quest to find the best predictor? Over‐optimism in sensor‐based models for predicting falls in older adults. Healthcare Technology Letters 2:4, pages 79-88.
Crossref
Crossref