Biomechanical Signal Analysis for Evaluation of Gait in Parkinson's Disease

Luis Pastor Sanchez Fernandez, Luite Alejandro Sanchez Perez, Jose Juan Carbajal Hernandez, Gabriel De Rodriguez Jordan

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

1 Scopus citations

Abstract

The biomechanical signals acquisition through wireless sensor networks and the information processing for healthcare in patients with Parkinson's disease (PD) have an important challenge. As well as other biomechanical signs, patients with PD usually present slow movements, difficult to initiate, vary or interrupt which reflect in gait alterations. The patient should walk at least 10 meters, then turn around and return to the starting point. These movement requirements can affect the wireless communication quality. Currently there are many scales for the assessment of patients with PD, but in recent research, the scale 'Movement Disorder Society-Unified Parkinson's Disease-Rating Rating Scale' (MDS-UPDRS) has gained great notoriety. However, evaluation is in a subjective way and depends a lot on the patient's momentary status and the results shown are qualitative only, and the subtle differences not detected. This paper presents results with wireless sensors networks Bluetooth and XBee, respectively, as well as the first stage of a diffuse model to analyse, evaluate and classify the gait according to the parameters established by the MDS-UPDRS, with multi-axial signals from inertial measurement units. The model presented good results for evaluation and classification, always backed-up by the help of medical experts.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages792-799
Number of pages8
ISBN (Electronic)9781538671085
DOIs
StatePublished - 22 Oct 2018
Event23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018 - Torino, Italy
Duration: 4 Sep 20187 Sep 2018

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume2018-September
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

Conference

Conference23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018
CountryItaly
CityTorino
Period4/09/187/09/18

Keywords

  • Biomechanics
  • diffuse evaluation
  • gait
  • Parkinson
  • Sensor Networks

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