Original articlePredicting Energy Expenditure of Manual Wheelchair Users With Spinal Cord Injury Using a Multisensor-Based Activity Monitor
Section snippets
Methods
This study took place at a university-based research facility. The institutional review board at the university approved the study.
Results
Demographic characteristics of the subjects are described in table 1. All the subjects completed the 8 activity trials. Because of device malfunction of the K4b2, 3 trials from 3 subjects had to be discarded. In addition, 5 trials from 4 subjects that did not yield steady-state conditions were also discarded.
The general model shown in equation 1 takes all the 4 activities into consideration. The activity-specific models are shown in (2), (3), (4), (5). Table 2 lists the predictors selected for
Discussion
Research has shown that off-the-shelf activity monitors cannot accurately predict EE in MWUs with SCI.6, 10 Our previous study6 using SenseWear has found large EE estimation errors ranging from 24.4% to 125.8% among 24 MWUs with SCI. Davis10 showed that the mean signed EE by SenseWear (14.3±6.0kJ/min) was much higher than the EE from a metabolic cart (11.4±4.0kJ/min) during wheelchair propulsion on a treadmill. This study with a larger cohort also showed a consistent trend of large EE
Conclusions
In this study, we have developed and evaluated new EE prediction models for MWUs with SCI based on a popular commercially available activity monitor. To our knowledge, this is the first study to develop new EE prediction models for this population based on the SenseWear activity monitor. The new models developed here can be used in clinical applications of using SenseWear activity monitors to estimate EE for MWUs with SCI during the wheelchair-related activities discussed in this study. We
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2020, Archives of Physical Medicine and RehabilitationCitation Excerpt :We were unable to include a number of studies with good methodological and outcome quality. The Sensewear,50-52 and ReSense47 are objective measurement instruments that have been evaluated in studies and are recommended for use in daily practice and for research purposes. Unfortunately, the Sensewear is no longer for sale and is not supported by the manufacturer anymore.
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2016, Archives of Physical Medicine and RehabilitationEstimation of Energy Expenditure for Wheelchair Users Using a Physical Activity Monitoring System
2016, Archives of Physical Medicine and RehabilitationCitation Excerpt :EE estimation error obtained by sequentially applying classification algorithms25 and the estimation models showed that the overall EE error based on MSE was lower than 10% for both PAMS-Arm (−9.8%) and PAMS-Wrist (−5.7%). MSE is commonly used in sports sciences as an overall performance indicator for PA monitors over a period.21 The low MSE indicates that both PAMS-Arm and PAMS-Wrist can estimate EE with low bias (<10%) in manual wheelchair users with SCI.
Physical Activity Level Among Stroke Patients Hospitalized in a Rehabilitation Unit
2016, PM and RCitation Excerpt :The primary outcome of the study was the PA time, which was estimated using a triaxial accelerometer, the SenseWear armband (BodyMedia [Jawbone], San Francisco, CA). In previous studies, this tool has been used with patients who have a spinal cord injury [23] and with walking hemiplegic patients [24,25]. Although an overestimation of energy expenditure was reported, the armband device achieved good measurement reliability compared with the measurement of oxygen using a gas analyzer (r = 0.787 [23]; r = 0.715 [24]).
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2013, Archives of Physical Medicine and RehabilitationCitation Excerpt :Results from phase 2 indicated that the most commonly used tool to measure PA in individuals with an SCI was the accelerometer. Other tools included heart rate monitors,41 pedometers,42,43 and accelerometers and gyrometers.41,44,45 The Physical Activity Recall Assessment for Individuals with Spinal Cord Injuries46,47 was the most frequently tested assessment, along with the Leisure Time Physical Activity Questionnaire48 and the Physical Activity Scale for Individuals with a Physical Disability.49,50
Supported by the Rehabilitation Engineering Research Center on Interactive Exercise Technologies and Exercise Physiology for Persons with Disabilities (grant no. H133E070029), funded by the National Institute on Disability and Rehabilitation Research; and by the VA Center of Excellence for Wheelchairs and Associated Rehabilitation Engineering (grant no. B3142C). The contents do not represent the views of the Department of Veterans Affairs or the United States Government.
No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated. Farringdon is employed by BodyMedia Inc, manufacturer of the SenseWear.
Reprints are not available from the author.
In-press corrected proof published online on Jul 6, 2012, at www.archives-pmr.org.