2013
DOI: 10.4172/2155-9538.s1-007
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Mobility Lab to Assess Balance and Gait with Synchronized Body-worn Sensors

Abstract: This paper is a commentary to introduce how rehabilitation professionals can use a new, body-worn sensor system to obtain objective measures of balance and gait. Current assessments of balance and gait in clinical rehabilitation are largely limited to subjective scales, simple stop-watch measures, or complex, expensive machines not practical or largely available. Although accelerometers and gyroscopes have been shown to accurately quantify many aspects of gait and balance kinematics, only recently a comprehens… Show more

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Cited by 152 publications
(100 citation statements)
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“…Two measurements for every participant were averaged. This method is validated20 ) and has a high inter-rater reliability with video analysis for turning characteristics21 ) .…”
Section: Methodsmentioning
confidence: 99%
“…Two measurements for every participant were averaged. This method is validated20 ) and has a high inter-rater reliability with video analysis for turning characteristics21 ) .…”
Section: Methodsmentioning
confidence: 99%
“…For the assessment of ST straight walking and turning, participants walked as fast as possible up and down a 20-m distance in an at least 2 m wide hallway for 1 min (Mancini, 2011 ). ST checking boxes and serial subtracting 7s tasks were performed also as fast as possible while standing (crossing 32 empty boxes on a sheet of paper; subtracting a series of ten consecutive steps of 7) (Bock, 2008 ; Hobert et al, 2011 ).…”
Section: Methodsmentioning
confidence: 99%
“…As of November 2015, there were at least 73 different devices (22 wearable, 38 nonwearable, and 13 hybrid) developed to assess Parkinson disease (PD) [9], and, as of October 2016, at least 47 assessed limb bradykinesia specifically [10]. Among the wearable devices, only Kinesia [11], a hybrid device, and 6 other wearable devices have been used to assess PD by groups other than the developers [12-17]. Besides a lack of validation, additional reasons that may contribute to the limited use of these technologies include skepticism about the usefulness of data, a perception of a high burden required for adoption, unsustained adherence, a discrepancy between research and clinical utility, the unclear value for informing management decisions, and a lack of compatibility between systems, which affect data integration and analytics [4, 18].…”
Section: Introductionmentioning
confidence: 99%