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Posture detection with waist-worn accelerometer : an application to improve Freezing of Gait detection in Parkinson’s disease patients
dc.contributor.author | Rodríguez Martín, Daniel Manuel |
dc.contributor.author | Samà Monsonís, Albert |
dc.contributor.author | Pérez López, Carlos |
dc.contributor.author | Català Mallofré, Andreu |
dc.contributor.author | Cabestany Moncusí, Joan |
dc.contributor.author | Browne, Patrick |
dc.contributor.author | Rodríguez Molinero, Alejandro |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.date.accessioned | 2016-03-02T13:16:28Z |
dc.date.issued | 2015-09-15 |
dc.identifier.citation | Rodriguez-Martin, D., Sama, A., Perez, C., Catala, A., Cabestany, J., Browne, P., Rodríguez, A. Posture detection with waist-worn accelerometer : an application to improve Freezing of Gait detection in Parkinson’s disease patients. A: "Recent advances in ambient assisted living : bridging assistive technologies, e-health and personalized health care". Amsterdam: Ios Press, 2015, p. 3-17. |
dc.identifier.isbn | 978-1-61499-596-8 |
dc.identifier.uri | http://hdl.handle.net/2117/83707 |
dc.description.abstract | Freezing of Gait (FoG) is one of the most disturbing symptoms in Parkinson’s disease (PD). Current algorithms that detect this symptom depend on frequency features extracted from wearable systems. These algorithms have only been evaluated under laboratory conditions and, in real life, they might present false positives, reducing the reliability of the algorithm. This paper presents the evaluation of 20 PD patients in their homes and the inclusion of a posture algorithm to contextualize FoG detection. This algorithm, in average, improves specificity a 5% while preserves the sensitivity. In some patients, specificity increases by 11.9% maintaining the sensitivity. |
dc.format.extent | 15 p. |
dc.language.iso | eng |
dc.publisher | Ios Press |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.lcsh | Parkinson's disease--Diagnosis--Evaluation |
dc.subject.other | Freezing of Gait |
dc.subject.other | Parkinson’s disease |
dc.subject.other | Contextualization |
dc.subject.other | Inertial Systems |
dc.subject.other | Posture Detection |
dc.title | Posture detection with waist-worn accelerometer : an application to improve Freezing of Gait detection in Parkinson’s disease patients |
dc.type | Part of book or chapter of book |
dc.subject.lemac | Parkinson, Malaltia--Diagnostic |
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 | 10.3233/978-1-61499-597-5 -3 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ebooks.iospress.nl/volume/recent-advances-in-ambient-assisted-living-bridging-assistive-technologies-e-health-and-personalized-health-care |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 17549381 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Rodriguez-Martin, D.; Sama, A.; Perez, C.; Catala, A.; Cabestany, J.; Browne, P.; Rodríguez, A. |
local.citation.pubplace | Amsterdam |
local.citation.publicationName | Recent advances in ambient assisted living : bridging assistive technologies, e-health and personalized health care |
local.citation.startingPage | 3 |
local.citation.endingPage | 17 |
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