Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments
Abstract Background Recent advances in wearable sensor technologies enable objective and long-term monitoring of motor activities in a patient’s habitual environment. People with mobility impairments require appropriate data processing algorithms that deal with their altered movement patterns and de...
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| Format: | Article |
| Language: | English |
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BMC
2020-11-01
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| Series: | Journal of NeuroEngineering and Rehabilitation |
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| Online Access: | http://link.springer.com/article/10.1186/s12984-020-00779-y |
| _version_ | 1818550857400057856 |
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| author | Fabian Marcel Rast Rob Labruyère |
| author_facet | Fabian Marcel Rast Rob Labruyère |
| author_sort | Fabian Marcel Rast |
| collection | DOAJ |
| description | Abstract Background Recent advances in wearable sensor technologies enable objective and long-term monitoring of motor activities in a patient’s habitual environment. People with mobility impairments require appropriate data processing algorithms that deal with their altered movement patterns and determine clinically meaningful outcome measures. Over the years, a large variety of algorithms have been published and this review provides an overview of their outcome measures, the concepts of the algorithms, the type and placement of required sensors as well as the investigated patient populations and measurement properties. Methods A systematic search was conducted in MEDLINE, EMBASE, and SCOPUS in October 2019. The search strategy was designed to identify studies that (1) involved people with mobility impairments, (2) used wearable inertial sensors, (3) provided a description of the underlying algorithm, and (4) quantified an aspect of everyday life motor activity. The two review authors independently screened the search hits for eligibility and conducted the data extraction for the narrative review. Results Ninety-five studies were included in this review. They covered a large variety of outcome measures and algorithms which can be grouped into four categories: (1) maintaining and changing a body position, (2) walking and moving, (3) moving around using a wheelchair, and (4) activities that involve the upper extremity. The validity or reproducibility of these outcomes measures was investigated in fourteen different patient populations. Most of the studies evaluated the algorithm’s accuracy to detect certain activities in unlabeled raw data. The type and placement of required sensor technologies depends on the activity and outcome measure and are thoroughly described in this review. The usability of the applied sensor setups was rarely reported. Conclusion This systematic review provides a comprehensive overview of applications of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments. It summarizes the state-of-the-art, it provides quick access to the relevant literature, and it enables the identification of gaps for the evaluation of existing and the development of new algorithms. |
| first_indexed | 2024-12-12T08:52:07Z |
| format | Article |
| id | doaj.art-aa50417385ee45d1a8fa87670738f963 |
| institution | Directory Open Access Journal |
| issn | 1743-0003 |
| language | English |
| last_indexed | 2024-12-12T08:52:07Z |
| publishDate | 2020-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of NeuroEngineering and Rehabilitation |
| spelling | doaj.art-aa50417385ee45d1a8fa87670738f9632022-12-22T00:30:11ZengBMCJournal of NeuroEngineering and Rehabilitation1743-00032020-11-0117111910.1186/s12984-020-00779-ySystematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairmentsFabian Marcel Rast0Rob Labruyère1Swiss Children’s Rehab, University Children’s Hospital ZurichSwiss Children’s Rehab, University Children’s Hospital ZurichAbstract Background Recent advances in wearable sensor technologies enable objective and long-term monitoring of motor activities in a patient’s habitual environment. People with mobility impairments require appropriate data processing algorithms that deal with their altered movement patterns and determine clinically meaningful outcome measures. Over the years, a large variety of algorithms have been published and this review provides an overview of their outcome measures, the concepts of the algorithms, the type and placement of required sensors as well as the investigated patient populations and measurement properties. Methods A systematic search was conducted in MEDLINE, EMBASE, and SCOPUS in October 2019. The search strategy was designed to identify studies that (1) involved people with mobility impairments, (2) used wearable inertial sensors, (3) provided a description of the underlying algorithm, and (4) quantified an aspect of everyday life motor activity. The two review authors independently screened the search hits for eligibility and conducted the data extraction for the narrative review. Results Ninety-five studies were included in this review. They covered a large variety of outcome measures and algorithms which can be grouped into four categories: (1) maintaining and changing a body position, (2) walking and moving, (3) moving around using a wheelchair, and (4) activities that involve the upper extremity. The validity or reproducibility of these outcomes measures was investigated in fourteen different patient populations. Most of the studies evaluated the algorithm’s accuracy to detect certain activities in unlabeled raw data. The type and placement of required sensor technologies depends on the activity and outcome measure and are thoroughly described in this review. The usability of the applied sensor setups was rarely reported. Conclusion This systematic review provides a comprehensive overview of applications of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments. It summarizes the state-of-the-art, it provides quick access to the relevant literature, and it enables the identification of gaps for the evaluation of existing and the development of new algorithms.http://link.springer.com/article/10.1186/s12984-020-00779-yDisabled personsPatientsRehabilitationAccelerometerGyroscopeInertial measurement unit |
| spellingShingle | Fabian Marcel Rast Rob Labruyère Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments Journal of NeuroEngineering and Rehabilitation Disabled persons Patients Rehabilitation Accelerometer Gyroscope Inertial measurement unit |
| title | Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments |
| title_full | Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments |
| title_fullStr | Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments |
| title_full_unstemmed | Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments |
| title_short | Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments |
| title_sort | systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments |
| topic | Disabled persons Patients Rehabilitation Accelerometer Gyroscope Inertial measurement unit |
| url | http://link.springer.com/article/10.1186/s12984-020-00779-y |
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