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

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

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
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]   |  


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

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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).

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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.

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