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Assessment of human gait after total knee arthroplasty by dynamic time warping algorithm
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  • Reza Abbasi-Kesbi,
  • Mohammad Fathi,
  • Mohammad Najafi,
  • Alireza Nikfarjam
Reza Abbasi-Kesbi
University of Tehran Faculty of New Sciences and Technologies
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Mohammad Fathi
Islamic Azad University Science and Research Branch
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Mohammad Najafi
Islamic Azad University Science and Research Branch
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Alireza Nikfarjam
University of Tehran

Corresponding Author:a.nikfarjam@ut.ac.ir

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Abstract

Today, the elderly population is increasing and they endure many drawbacks, especially defects in their knee joints which lead to improper gait. To solve this problem, their knee joint can be replaced with knee arthroplasty. In this letter, the level of improvement in the human gait before and after total knee arthroplasty (TKA) surgery is investigated using the Dynamic Time Wrapping (DTW) algorithm. For this purpose, several volunteers who have problems with their knees incorporate in a test before and after TKA surgery, and data of gait analysis is collected. Then, the obtained data is compared with a reference using the DTW algorithm. The outcome results illustrate an improvement of 89\% - 97\% by the proposed algorithm after TKA surgery. Therefore, patients can see improvement with high speed and accuracy that result in more promising for using TKA surgery.
19 Dec 2022Submitted to Healthcare Technology Letters
26 Dec 2022Submission Checks Completed
26 Dec 2022Assigned to Editor
13 Jan 2023Reviewer(s) Assigned
03 Feb 2023Review(s) Completed, Editorial Evaluation Pending
27 Feb 2023Editorial Decision: Revise Minor
12 Mar 20231st Revision Received
15 Mar 2023Submission Checks Completed
15 Mar 2023Assigned to Editor
23 Mar 2023Reviewer(s) Assigned
28 Apr 2023Review(s) Completed, Editorial Evaluation Pending
02 May 2023Editorial Decision: Accept