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Assessing motor fluctuations in Parkinson’s disease patients based on a single inertial sensor
dc.contributor.author | Pérez López, Carlos |
dc.contributor.author | Samà Monsonís, Albert |
dc.contributor.author | Rodríguez Martín, Daniel Manuel |
dc.contributor.author | Català Mallofré, Andreu |
dc.contributor.author | Cabestany Moncusí, Joan |
dc.contributor.author | Moreno Aróstegui, Juan Manuel |
dc.contributor.author | De Mingo Fernandez, Eva |
dc.contributor.author | Rodríguez Molinero, Alejandro |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2017-02-24T10:56:03Z |
dc.date.available | 2017-02-24T10:56:03Z |
dc.date.issued | 2016-12-15 |
dc.identifier.citation | Perez, C., Sama, A., Rodriguez-Martin, D., Catala, A., Cabestany, J., Moreno, J., De Mingo, E., Rodríguez, A. Assessing motor fluctuations in Parkinson’s disease patients based on a single inertial sensor. "Sensors", 15 Desembre 2016, vol. 16, núm. 12, p. 1-25. |
dc.identifier.issn | 1424-8220 |
dc.identifier.uri | http://hdl.handle.net/2117/101524 |
dc.description.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. |
dc.format.extent | 25 p. |
dc.language.iso | eng |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica |
dc.subject | Àrees temàtiques de la UPC::Ciències de la salut |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica |
dc.subject.lcsh | Parkinson's disease -- Research |
dc.subject.lcsh | Support vector machines |
dc.subject.lcsh | Biosensors |
dc.subject.lcsh | Self-help devices for people with disabilities |
dc.subject.other | Inertial sensors |
dc.subject.other | Support Vector Machine |
dc.subject.other | Parkinson’s disease |
dc.subject.other | Motor fluctuations |
dc.subject.other | Ambulatory monitoring |
dc.title | Assessing motor fluctuations in Parkinson’s disease patients based on a single inertial sensor |
dc.type | Article |
dc.subject.lemac | Parkinson, Malaltia de |
dc.subject.lemac | Biosensors |
dc.subject.lemac | Ajuts tecnològics per als discapacitats |
dc.contributor.group | Universitat Politècnica de Catalunya. CETpD -Centre d'Estudis Tecnològics per a l'Atenció a la Dependència i la Vida Autònoma |
dc.identifier.doi | 10.3390/s16122132 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.mdpi.com/1424-8220/16/12/2132 |
dc.rights.access | Open Access |
local.identifier.drac | 19471929 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/PI12/03028 |
local.citation.author | Perez, C.; Sama, A.; Rodriguez-Martin, D.; Catala, A.; Cabestany, J.; Moreno, J.; De Mingo, E.; Rodríguez, A. |
local.citation.publicationName | Sensors |
local.citation.volume | 16 |
local.citation.number | 12 |
local.citation.startingPage | 1 |
local.citation.endingPage | 25 |
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