title: Assessing Motor Fluctuations in Parkinson's Disease Patients Based on a Single Inertial Sensor.
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.
authors.affiliation: 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. carlos.perez-lopez@upc.edu.
authors.forename: Carlos
authors.initials: C
authors.lastname: Pérez-López
authors.affiliation: 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. albert.sama@upc.edu.
authors.forename: Albert
authors.initials: A
authors.lastname: Samà
authors.affiliation: 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. daniel.rodriguez-martin@upc.edu.
authors.forename: Daniel
authors.initials: D
authors.lastname: Rodríguez-Martín
authors.affiliation: 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. andreu.catala@upc.edu.
authors.forename: Andreu
authors.initials: A
authors.lastname: Català
authors.affiliation: 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. joan.cabestany@upc.edu.
authors.forename: Joan
authors.initials: J
authors.lastname: Cabestany
authors.affiliation: 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. moreno@aha-dee.upc.edu.
authors.forename: Juan Manuel
authors.initials: JM
authors.lastname: Moreno-Arostegui
authors.affiliation: Clinical Research Unit, Consorci Sanitari del Garraf (Fundación Sant Antoni Abat ), Carrer de Sant Josep, 21-23, Vilanova i la Geltrú 08800, Barcelona, Spain. itzahe1@hotmail.com.
authors.forename: Eva
authors.initials: E
authors.lastname: de Mingo
authors.affiliation: Clinical Research Unit, Consorci Sanitari del Garraf (Fundación Sant Antoni Abat ), Carrer de Sant Josep, 21-23, Vilanova i la Geltrú 08800, Barcelona, Spain. arodriguez@csg.cat.
authors.forename: Alejandro
authors.initials: A
authors.lastname: Rodríguez-Molinero
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D020820:Dyskinesias / Q000175:diagnosis / Q000503:physiopathology; D005260:Female; D006801:Humans; D018476:Hypokinesia / Q000175:diagnosis / Q000503:physiopathology; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D009043:Motor Activity; D010300:Parkinson Disease / Q000175:diagnosis* / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted
keywords: Parkinson’s disease; Support Vector Machine; ambulatory monitoring; inertial sensors; motor fluctuations