The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances
Open accessAbstract
Recent technologic advancements have enabled the creation of portable, low‐cost, and unobtrusive sensors with tremendous potential to alter the clinical practice of rehabilitation. The application of wearable sensors to track movement has emerged as a promising paradigm to enhance the care provided to patients with neurologic or musculoskeletal conditions. These sensors enable quantification of motor behavior across disparate patient populations and emerging research shows their potential for identifying motor biomarkers, differentiating between restitution and compensation motor recovery mechanisms, remote monitoring, telerehabilitation, and robotics. Moreover, the big data recorded across these applications serve as a pathway to personalized and precision medicine. This article presents state‐of‐the‐art and next‐generation wearable movement sensors, ranging from inertial measurement units to soft sensors. An overview of clinical applications is presented across a wide spectrum of conditions that have potential to benefit from wearable sensors, including stroke, movement disorders, knee osteoarthritis, and running injuries. Complementary applications enabled by next‐generation sensors that will enable point‐of‐care monitoring of neural activity and muscle dynamics during movement also are discussed.
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Cites
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Self-citationFor Telehealth To Succeed, Privacy And Security Risks Must Be Identified And Addressed
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Cited by
Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review
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Abidi, M. H. (2024) · Scientific Reports · doi:10.1038/s41598-024-82624-z · Cited by 20
Metadata
- Authors
- Porciuncula, F., Roto, A. V., Kumar, D., Davis, I., Roy, S., Walsh, C. J., & Awad, L. N.
- Venue
- PM&R
- Publisher
- Wiley
- Published
- 2018-09
- Volume
- 10
- Issue
- 9S2
- Pages
- S220-S232
- ISSN
- 1934-1482 (ISSN-L)
- 1934-1563
- OpenAlex
- W2893965229
- Cited by
- 300
- References
- 8
- FWCI
- 8.97
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Porciuncula, F., Roto, A. V., Kumar, D., Davis, I., Roy, S., Walsh, C. J., & Awad, L. N. (2018). Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances. PM&R. https://doi.org/10.1016/j.pmrj.2018.06.013
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