Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress

Roshanak Houmanfar, Michelle Karg, Dana Kulic

Research output: Contribution to journalArticleResearchpeer-review

18 Citations (Scopus)

Abstract

Mobility improvement for patients is one of the primary concerns of physiotherapy rehabilitation. Providing the physiotherapist and the patient with a quantified and objective measure of progress can be beneficial for monitoring the patient's performance. In this paper, two approaches are introduced for quantifying patient performance. Both approaches formulate a distance between patient data and the healthy population as the measure of performance. Distance measures are defined to capture the performance of one repetition of an exercise or multiple repetitions of the same exercise. To capture patient progress across multiple exercises, a quality measure and overall score are defined based on the distance measures and are used to quantify the overall performance for each session. The effectiveness of these measures in detecting patient progress is evaluated on rehabilitation data recorded from patients recovering from knee or hip replacement surgery. The results show that the proposed measures are able to capture the trend of patient improvement over the course of rehabilitation. The trend of improvement is not monotonic and differs between patients.

Original languageEnglish
Article number6847103
Pages (from-to)1014-1025
Number of pages12
JournalIEEE Systems Journal
Volume10
Issue number3
DOIs
Publication statusPublished - 1 Sep 2016
Externally publishedYes

Keywords

  • Biomedical monitoring
  • biomedical signal processing
  • computer aided diagnosis
  • human motion analysis
  • motion measurement
  • motion quality assessment
  • rehabilitation robotics

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