Next Article in Journal / Special Issue
Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach?
Previous Article in Journal
An Indoor Positioning Method for Smartphones Using Landmarks and PDR
Previous Article in Special Issue
Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(12), 2132; doi:10.3390/s16122132

Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor

1
Technical Research Centre for Dependency Care and Autonomous Living, CETPD, Universitat Politècnica de Catalunya, Barcelona Tech., Rambla de l’Exposició 59-69, Vilanova i la Geltrú 08800, Barcelona, Spain
2
Clinical Research Unit, Consorci Sanitari del Garraf (Fundación Sant Antoni Abat ), Carrer de Sant Josep, 21-23, Vilanova i la Geltrú 08800, Barcelona, Spain
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Kamiar Aminian
Received: 23 September 2016 / Revised: 27 November 2016 / Accepted: 10 December 2016 / Published: 15 December 2016
(This article belongs to the Special Issue Body Worn Behavior Sensing)
View Full-Text   |   Download PDF [2865 KB, uploaded 16 December 2016]   |  

Abstract

Altered movement control is typically the first noticeable symptom manifested by Parkinson’s disease (PD) patients. Once under treatment, the effect of the medication is very patent and patients often recover correct movement control over several hours. Nonetheless, as the disease advances, patients present motor complications. Obtaining precise information on the long-term evolution of these motor complications and their short-term fluctuations is crucial to provide optimal therapy to PD patients and to properly measure the outcome of clinical trials. This paper presents an algorithm based on the accelerometer signals provided by a waist sensor that has been validated in the automatic assessment of patient’s motor fluctuations (ON and OFF motor states) during their activities of daily living. A total of 15 patients have participated in the experiments in ambulatory conditions during 1 to 3 days. The state recognised by the algorithm and the motor state annotated by patients in standard diaries are contrasted. Results show that the average specificity and sensitivity are higher than 90%, while their values are higher than 80% of all patients, thereby showing that PD motor status is able to be monitored through a single sensor during daily life of patients in a precise and objective way. View Full-Text
Keywords: inertial sensors; Support Vector Machine; Parkinson’s disease; motor fluctuations; ambulatory monitoring inertial sensors; Support Vector Machine; Parkinson’s disease; motor fluctuations; ambulatory monitoring
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Pérez-López, C.; Samà, A.; Rodríguez-Martín, D.; Català, A.; Cabestany, J.; Moreno-Arostegui, J.M.; de Mingo, E.; Rodríguez-Molinero, A. Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor. Sensors 2016, 16, 2132.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top