Literature DB >> 17945919

Quantifying functional mobility progress for chronic disease management.

Justin Boyle1, Mohan Karunanithi, Tim Wark, Wilbur Chan, Christine Colavitti.   

Abstract

A method for quantifying improvements in functional mobility is presented based on patient-worn accelerometer devices. For patients with cardiovascular, respiratory, or other chronic disease, increasing the amount of functional mobility is a large component of rehabilitation programs. We have conducted an observational trial on the use of accelerometers for quantifying mobility improvements in a small group of chronic disease patients (n=15, 48 - 86 yrs). Cognitive impairments precluded complex instrumentation of patients, and movement data was obtained from a single 2-axis accelerometer device worn at the hip. In our trial, movement data collected from accelerometer devices was classified into Lying vs Sitting/Standing vs Walking/Activity movements. This classification enabled the amount of walking to be quantified and graphically presented to clinicians and carers for feedback on exercise efficacy. Presenting long term trends in this data to patients also provides valuable feedback for self managed care and assisting with compliance.

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Year:  2006        PMID: 17945919     DOI: 10.1109/IEMBS.2006.260426

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Normalization and extraction of interpretable metrics from raw accelerometry data.

Authors:  Jiawei Bai; Bing He; Haochang Shou; Vadim Zipunnikov; Thomas A Glass; Ciprian M Crainiceanu
Journal:  Biostatistics       Date:  2013-09-01       Impact factor: 5.899

2.  Classification of human physical activity based on raw accelerometry data via spherical coordinate transformation.

Authors:  Michał Kos; Małgorzata Bogdan; Nancy W Glynn; Jaroslaw Harezlak
Journal:  Stat Med       Date:  2020-06-01       Impact factor: 2.373

3.  Movelets: A dictionary of movement.

Authors:  Jiawei Bai; Jeff Goldsmith; Brian Caffo; Thomas A Glass; Ciprian M Crainiceanu
Journal:  Electron J Stat       Date:  2012       Impact factor: 1.125

4.  Movement prediction using accelerometers in a human population.

Authors:  Luo Xiao; Bing He; Annemarie Koster; Paolo Caserotti; Brittney Lange-Maia; Nancy W Glynn; Tamara B Harris; Ciprian M Crainiceanu
Journal:  Biometrics       Date:  2015-08-19       Impact factor: 2.571

Review 5.  Physical Human Activity Recognition Using Wearable Sensors.

Authors:  Ferhat Attal; Samer Mohammed; Mariam Dedabrishvili; Faicel Chamroukhi; Latifa Oukhellou; Yacine Amirat
Journal:  Sensors (Basel)       Date:  2015-12-11       Impact factor: 3.576

  5 in total

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