Literature DB >> 15165439

A pilot study of long-term monitoring of human movements in the home using accelerometry.

Merryn J Mathie1, Adelle C F Coster, Nigel H Lovell, Branko G Celler, Stephen R Lord, Anne Tiedemann.   

Abstract

We assessed the feasibility of using a waist-mounted, wireless triaxial accelerometer (TA) to monitor human movements in an unsupervised home setting to detect changes in functional status. A pilot study was carried out with six healthy subjects aged 80-86 years. The subjects wore a TA unit every day for two to three months. Each morning they carried out a short routine of directed movements that included standing, sitting, lying and walking. Important movement variables were measured. During the rest of the day, subjects were monitored for falls, and variables such as metabolic energy expenditure were measured. All subjects remained healthy; there was no overall change in functional status and there were only slight fluctuations in health status. No longitudinal changes were detected in any of the variables measured during the directed routine. There was a moderate correlation between weekly self-reported health status and energy expenditure: subjects reported a lower health status for weeks in which they expended less energy. The TA system was found to be practical for long-term, unsupervised home monitoring. All subjects found the system simple to use and the TA unit unobtrusive and comfortable to wear. High compliance rates were achieved: the TA units were worn on 88% of the days in the study, for an average of 11.2 hours per day.

Entities:  

Mesh:

Year:  2004        PMID: 15165439     DOI: 10.1258/135763304323070788

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  20 in total

1.  Accelerometer's position independent physical activity recognition system for long-term activity monitoring in the elderly.

Authors:  Adil Mehmood Khan; Young-Koo Lee; Sungyoung Lee; Tae-Seong Kim
Journal:  Med Biol Eng Comput       Date:  2010-11-04       Impact factor: 2.602

2.  Classification of basic daily movements using a triaxial accelerometer.

Authors:  M J Mathie; B G Celler; N H Lovell; A C F Coster
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

3.  Automated detection of near falls: algorithm development and preliminary results.

Authors:  Aner Weiss; Ilan Shimkin; Nir Giladi; Jeffrey M Hausdorff
Journal:  BMC Res Notes       Date:  2010-03-05

4.  Using Accelerometer and Gyroscopic Measures to Quantify Postural Stability.

Authors:  Jay L Alberts; Joshua R Hirsch; Mandy Miller Koop; David D Schindler; Daniel E Kana; Susan M Linder; Scott Campbell; Anil K Thota
Journal:  J Athl Train       Date:  2015-04-06       Impact factor: 2.860

Review 5.  Assessing fall risk using wearable sensors: a practical discussion. A review of the practicalities and challenges associated with the use of wearable sensors for quantification of fall risk in older people.

Authors:  T Shany; S J Redmond; M Marschollek; N H Lovell
Journal:  Z Gerontol Geriatr       Date:  2012-12       Impact factor: 1.281

Review 6.  Position-sensing technologies for movement analysis in stroke rehabilitation.

Authors:  H Zheng; N D Black; N D Harris
Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

7.  Inertial measurement units furnish accurate trunk trajectory reconstruction of the sit-to-stand manoeuvre in healthy subjects.

Authors:  Daniele Giansanti; Giovanni Maccioni; Francesco Benvenuti; Velio Macellari
Journal:  Med Biol Eng Comput       Date:  2007-07-25       Impact factor: 2.602

Review 8.  A review of wearable sensors and systems with application in rehabilitation.

Authors:  Shyamal Patel; Hyung Park; Paolo Bonato; Leighton Chan; Mary Rodgers
Journal:  J Neuroeng Rehabil       Date:  2012-04-20       Impact factor: 4.262

9.  Sensors vs. experts - a performance comparison of sensor-based fall risk assessment vs. conventional assessment in a sample of geriatric patients.

Authors:  Michael Marschollek; Anja Rehwald; Klaus-Hendrik Wolf; Matthias Gietzelt; Gerhard Nemitz; Hubertus Meyer zu Schwabedissen; Mareike Schulze
Journal:  BMC Med Inform Decis Mak       Date:  2011-06-28       Impact factor: 2.796

Review 10.  Tracking the Evolution of Smartphone Sensing for Monitoring Human Movement.

Authors:  Michael B del Rosario; Stephen J Redmond; Nigel H Lovell
Journal:  Sensors (Basel)       Date:  2015-07-31       Impact factor: 3.576

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