2019
DOI: 10.1186/s12984-019-0519-7
|View full text |Cite
|
Sign up to set email alerts
|

Technology-aided assessments of sensorimotor function: current use, barriers and future directions in the view of different stakeholders

Abstract: Background There is growing interest in the use of technology in neurorehabilitation, from robotic to sensor-based devices. These technologies are believed to be excellent tools for quantitative assessment of sensorimotor ability, addressing the shortcomings of traditional clinical assessments. However, clinical adoption of technology-based assessments is very limited. To understand this apparent contradiction, we sought to gather the points-of-view of different stakeholders in the development and… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

2
34
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 30 publications
(36 citation statements)
references
References 33 publications
2
34
0
Order By: Relevance
“…However, the integration of digital health metrics into clinical routine and research is still inhibited by an insufficient evaluation of the vast amount of existing measures and the need for core sets of validated and clinically relevant measures for the targeted impairments 13,[21][22][23] . Indeed, recent reviews reported the use of over 150 sensor-based metrics for quantifying upper limb sensorimotor impairments and highlighted a clear lack of evidence regarding their pathophysiological motivation and clinimetric properties 13,24 .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, the integration of digital health metrics into clinical routine and research is still inhibited by an insufficient evaluation of the vast amount of existing measures and the need for core sets of validated and clinically relevant measures for the targeted impairments 13,[21][22][23] . Indeed, recent reviews reported the use of over 150 sensor-based metrics for quantifying upper limb sensorimotor impairments and highlighted a clear lack of evidence regarding their pathophysiological motivation and clinimetric properties 13,24 .…”
Section: Introductionmentioning
confidence: 99%
“…Targeting this objective is important, as the proposed datadriven framework can easily be applied to metrics gathered with other digital health technologies. This will help addressing the lacking evaluation, standardization, and interpretability of digital health metrics, a necessary step to improve their still limited clinical relevance 15,22,23 . Further, the presented use-case establishes a validated core set of metrics for the VPIT, paving the way for its integration into clinical trials in neurorehabilitation.…”
Section: Introductionmentioning
confidence: 99%
“…Further, they mostly focus on kinematic metrics and do not quantify grip force control and its essential role in daily life activities [ 28 , 29 ]. Also, the clinimetric properties of such digital health metrics are often insufficiently evaluated, thereby challenging their interpretability and acceptability as clinical endpoints [ 17 , 30 ].…”
Section: Introductionmentioning
confidence: 99%
“…Currently, there is a growing interest in the use of technology in the Neurorehabilitation field with the aim of quantifying and generating knowledge about sensorimotor disorders after neurological diseases, understanding that the technology has a high potential for using as therapeutic tools [5]. Thus, at present, there are several works that propose virtual versions of this test, in principle designed for stroke patients and using low-cost technology to allow the patient interaction with the virtual application, such as Microsoft Kinect [6] and Leap Motion Controller [7].…”
Section: Introductionmentioning
confidence: 99%