A method for automatic, objective and continuous scoring of bradykinesia

O. Martinez-Manzanera, E. Roosma, M. Beudel, R. W.K. Borgemeester, T. Van Laar, N. M. Maurits

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Abstract

The assessment of bradykinesia is a key element in the diagnosis of Parkinson;s disease. It is typically performed using the Movement Disorder Society-Sponsored Revision of the Unified Parkinson;s Disease Rating Scale (MDS-UPDRS). However, despite its importance, the bradykinesia-related items of this scale show very low inter-rater agreement. Therefore, in this study a method for automatic, objective and continuous scoring of three of the bradykinesia-related items of the MDS-UPDRS is proposed. Four clinicians scored these items for 25 patients diagnosed with Parkinson;s disease, within a range of 0-4. Orientation sensors were used to record movement during performance of each item. From the recorded data a set of features was derived to represent the movement characteristics that evaluators assess for scoring bradykinesia according to the MDS-UPDRS. These features and the averaged scores of the evaluators were used to create a model for the score on each item using backward linear regression. The estimated generalization errors indicate that the continuous objective scale can obtain an automatic score with an average error of 0.50 compared to the evaluators' averaged scores.

Original languageEnglish
Title of host publication2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467372015
DOIs
Publication statusPublished - 15 Oct 2015
Event12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 - Cambridge, United States
Duration: 9 Jun 201512 Jun 2015

Publication series

Name2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015

Conference

Conference12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
Country/TerritoryUnited States
CityCambridge
Period9/06/201512/06/2015

Keywords

  • Parkinson
  • UPDRS
  • automatic scoring
  • bradykinesia
  • linear regression
  • s disease

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