2015
DOI: 10.2196/humanfactors.4129
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Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision

Abstract: BackgroundSensor-based recordings of human movements are becoming increasingly important for the assessment of motor symptoms in neurological disorders beyond rehabilitative purposes. ASSESS MS is a movement recording and analysis system being developed to automate the classification of motor dysfunction in patients with multiple sclerosis (MS) using depth-sensing computer vision. It aims to provide a more consistent and finer-grained measurement of motor dysfunction than currently possible.ObjectiveTo test th… Show more

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Cited by 27 publications
(23 citation statements)
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“…Another tool, ASSESS MS, which captures depth videos (video images in which each pixel has a three-dimensional, 3D, position) of movement, is under evaluation for the assessment of motor dysfunction in MS within the clinical setting [ 22 ]. In a prospective, mixed-methods study that included six neurologists (mean MS experience: 4.3 years) and six nurses (mean MS experience: 2.7 years), ASSESS MS was used to record a predefined set of standard movements in 51 patients [ 22 ]. The tool was found to be usable by, and acceptable to, both patients and HCPs, and generated data of sufficient quality for clinical analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Another tool, ASSESS MS, which captures depth videos (video images in which each pixel has a three-dimensional, 3D, position) of movement, is under evaluation for the assessment of motor dysfunction in MS within the clinical setting [ 22 ]. In a prospective, mixed-methods study that included six neurologists (mean MS experience: 4.3 years) and six nurses (mean MS experience: 2.7 years), ASSESS MS was used to record a predefined set of standard movements in 51 patients [ 22 ]. The tool was found to be usable by, and acceptable to, both patients and HCPs, and generated data of sufficient quality for clinical analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Our RV approach may also have a role in training machine-learning algorithms (MLAs). Such an example is the Assess MS system, a potentially finer-grained tool to measure motor dysfunction in MS. 3 This system uses advanced MLAs to analyze three-dimensional-depth-sensor recordings of MS patients performing standard tests of motor function, like the FNT. Reducing the variability of clinical assessments that are used to train MLAs should also contribute to improved algorithms that are derived from machine learning.…”
Section: Discussionmentioning
confidence: 99%
“…This study was a subproject of “Assess MS,” 3 a study approved by the local ethics committees. All patients gave their written informed consent to the video recordings.…”
Section: Methodsmentioning
confidence: 99%
“…Another tool, ASSESS MS, which captures depth videos (video images in which each pixel has a three-dimensional position) of movement, is under evaluation for the assessment of motor dysfunction in MS within the clinical setting [22]. In a prospective, mixed-methods study that included six neurologists (mean MS experience, 4.3 years) and six nurses (mean MS experience: 2.7 years), ASSESS MS was used to record a predefined set of standard movements in 51 patients [22].…”
Section: Screening and Assessmentmentioning
confidence: 99%
“…In a prospective, mixed-methods study that included six neurologists (mean MS experience, 4.3 years) and six nurses (mean MS experience: 2.7 years), ASSESS MS was used to record a predefined set of standard movements in 51 patients [22]. The tool was found to be usable by, and acceptable to, both patients and healthcare professionals, and generated data of sufficient quality for clinical analysis.…”
Section: Screening and Assessmentmentioning
confidence: 99%