Knee Osteoarthritis Classification System Examination on Wearable Daily-Use IMU Layout

Chengshuo Xia, Tsubasa Maruyama, Haruki Toda, Mitsunori Tada, Koji Fujita, Yuta Sugiura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The diagnostic approach for knee osteoarthritis that draws on kinematic characteristics provides a solution other than imaging medicine. However, the gait-based kinematic analysis still requires a motion capture suit as a prerequisite to ensure a reliable calculation, which limits the daily screening of the end user. To further reduce the cost, in this paper we investigated a wearable inertial measurement unit (IMU)-based knee osteoarthritis classification system based on daily-use wearing IMU layout and machine learning approaches. The acceleration and angular velocity signal output from the IMU were used as the input data; the different features from the time and frequency domains were examined with different handcrafted feature classifiers, as well as the deep learning method. From the results, using three IMUs could reach a 0.82 area under the curve value, with a sensitivity of 86% and a specificity of 78%. The results showed that using daily IMU devices to establish a diagnostic system with an on-body sensor layout is feasible.

Original languageEnglish
Title of host publicationISWC 2022 - Proceedings of the 2022 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Pages74-78
Number of pages5
ISBN (Electronic)9781450394246
DOIs
Publication statusPublished - 2022 Sept 11
Event2022 ACM International Symposium on Wearable Computers, ISWC 2022 - Cambridge, United Kingdom
Duration: 2022 Sept 112022 Sept 15

Publication series

NameProceedings - International Symposium on Wearable Computers, ISWC
ISSN (Print)1550-4816

Conference

Conference2022 ACM International Symposium on Wearable Computers, ISWC 2022
Country/TerritoryUnited Kingdom
CityCambridge
Period22/9/1122/9/15

Keywords

  • Inertial Measurement Unit
  • Knee Osteoarthritis
  • Layout
  • Screening

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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