Wearable and Non-wearable Technology Assisted Assessment and Rehabilitation approaches for Gait Improvement among the Patients with Knee Arthroplasty: A Systematic Review

Sumit Raghav^{1, 2*}, Anshika Singh², Suresh Mani¹ and Mukul Kumar³

¹Department of Physiotherapy, Faculty of Applied Medical Sciences, Lovely Professional University, Punjab, India

²Subharti College of Physiotherapy, Swami Vivekanand Subharti University, Meerut, India

³Central Research and Incubation Center, Swami Vivekanand Subharti University, Meerut, India

Corresponding Author E-mail: drsumit.svsu@gmail.com

DOI : http://dx.doi.org/10.13005/bbra/3001

ABSTRACT:

Introduction: This article presents a relevant review of technological interventions used in gait analysis for post-operative knee surgery cases. Gait analysis plays a vital role in the early monitoring and rehabilitation of post-operative instances. The Gait analysis help with early diagnosis and physiotherapy interventions can produce significant results. Thus, reducing the overall cost of treatment and increasing the effect of administered treatment. In the modern era, physiotherapists use different sensors to monitor spatiotemporal parameters. These sensors help assist and enhance the administered physiotherapy. This review paper focuses on sensor-based technological interventions in gait analysis. It emphasizes that technology-assisted rehabilitation, notably sensor-based technologies, motion sensors, and motion analysis software, improves monitoring and functional mobility in knee arthroplasty.

Methodology: The systematic search yielded 272 studies, 11 added retrospectively via reference screening of included articles. Following title and abstract screening, we include 53 studies for full-text screening, and ultimately, 20 studies met the review's predetermined eligibility criteria. Two physiotherapists, 'SR' and 'AS,' conducted a thorough search using various electronic databases and screened the eligibility of titles and abstracts. This review included a total of twenty studies. We included all those studies associated with various technological interventions, outcome measures, and study populations. All relevant studies were categorized and tabulated based on the technologies used, the type of device used, and the outcome measure used to monitor and quantify Gait and other mobility impairments.

Conclusion: This review paper provides a comprehensive overview of the applications of technology-based intervention to monitor and quantify mobility status using assisted gait analysis. There is moderate-quality evidence that technology-assisted rehabilitation, specifically sensor-based technology, motion sensors, and motion analysis software, results in a statistically significant improvement in monitoring and functional mobility in patients undergoing knee arthroplasty.

KEYWORDS: Gait Analysis; Knee Arthroplasty; Spatiotemporal Parameters of Gait

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