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Articles

A clinical study to assess fall risk using a single waist accelerometer

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Pages 181-188 | Published online: 17 Nov 2009

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Kurt Jackson, Renee Sample & Kimberly Bigelow. (2018) Use of an Instrumented Timed Up and Go (iTUG) for Fall Risk Classification. Physical & Occupational Therapy In Geriatrics 36:4, pages 354-365.
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Sabine Koch. (2010) Healthy ageing supported by technology – a cross-disciplinary research challenge. Informatics for Health and Social Care 35:3-4, pages 81-91.
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Shuaijie Wang, Gonzalo Varas-Diaz, Shamali Dusane, Yiru Wang & Tanvi Bhatt. (2019) Slip-induced fall-risk assessment based on regular gait pattern in older adults. Journal of Biomechanics 96, pages 109334.
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Maxwell Fordjour Antwi-Afari & Heng Li. (2018) Fall risk assessment of construction workers based on biomechanical gait stability parameters using wearable insole pressure system. Advanced Engineering Informatics 38, pages 683-694.
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Andrew Hua, Zachary Quicksall, Chongzhi Di, Robert Motl, Andrea Z. LaCroix, Bruce Schatz & David M. Buchner. (2018) Accelerometer-based predictive models of fall risk in older women: a pilot study. npj Digital Medicine 1:1.
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Fabián Ituriel García-Flores, Antonio Eugenio Rivera-Cisneros, Jorge Manuel Sánchez-González, Rodolfo Guardado-Mendoza & Jorge Luis Torres-Gutiérrez. (2016) Correlation between gait speed and muscular strength with balance for reducing falls among elderly. Cirugía y Cirujanos (English Edition) 84:5, pages 392-397.
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Jennifer L. Vincenzo, Jordan M. Glenn, Stephanie M. Gray & Michelle Gray. (2015) Balance measured by the sway balance smart-device application does not discriminate between older persons with and without a fall history. Aging Clinical and Experimental Research 28:4, pages 679-686.
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Kejia Wang, Stephen Redmond & Nigel Lovell. 2015. Telemedicine and Electronic Medicine. Telemedicine and Electronic Medicine 619 652 .
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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.
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Jennifer Howcroft, Jonathan Kofman & Edward D Lemaire. (2013) Review of fall risk assessment in geriatric populations using inertial sensors. Journal of NeuroEngineering and Rehabilitation 10:1, pages 91.
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Jennifer Billington, Tom Fahey & Rose Galvin. (2012) Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: A systematic review and meta-analysis. BMC Family Practice 13:1.
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T. Klingeberg & M. Schilling. (2012) Mobile wearable device for long term monitoring of vital signs. Computer Methods and Programs in Biomedicine 106:2, pages 89-96.
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Matthias Gietzelt, Stephan Schnabel, Klaus-Hendrik Wolf, Felix Büsching, Bianying Song, Stefan Rust & Michael Marschollek. (2012) A method to align the coordinate system of accelerometers to the axes of a human body: The depitch algorithm. Computer Methods and Programs in Biomedicine 106:2, pages 97-103.
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M. Marschollek, A. Rehwald, K. H. Wolf, M. Gietzelt, G. Nemitz, H. Meyer zu Schwabedissen & R. Haux. (2018) Sensor-based Fall Risk Assessment – an Expert ‘to go’. Methods of Information in Medicine 50:05, pages 420-426.
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