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Comparison and adaptation of step length and gait speed estimators from single belt worn accelerometer positioned on lateral side of the body
dc.contributor.author | Sayeed, Taufique |
dc.contributor.author | Samà Monsonís, Albert |
dc.contributor.author | Català Mallofré, Andreu |
dc.contributor.author | Cabestany Moncusí, Joan |
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 | 2014-04-02T08:36:48Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | Sayeed, T. [et al.]. Comparison and adaptation of step length and gait speed estimators from single belt worn accelerometer positioned on lateral side of the body. A: IEEE International Symposium on Intelligent Signal Processing. "Proceedings of the IEEE 8th International Symposium on Intelligent Signal Processing (WISP)". Funchal: 2013, p. 14-20. |
dc.identifier.isbn | 978-1-4673-4543-9 |
dc.identifier.uri | http://hdl.handle.net/2117/22481 |
dc.description.abstract | Parkinson’s Disease (PD) is a neurodegenerative disease that predominantly alter patients’ motor performance and compromises the speed, the automaticity and fluidity of natural movements. The patients fluctuate between periods in which they can move almost normally for some hours (ON state) and periods with motor disorders (OFF state). Gait properties are affected by the motor state of a patient: reduced stride length, reduced gait speed, increased stride width etc. The ability to assess the motor states (ON/OFF) on a continuous basis for long time without disturbing the patients’ daily life activities is an important component of PD management. An accurate report of motor states could allow clinics to adjust the medication regimen to avoid OFF periods. The real-time monitoring will also allow an online treatment by combining, for instance, with automatic drugadministration pump doses. Many studies have attempted to extract gait properties through a belt-worn single tri-axial accelerometer. In this paper, a user friendly position is proposed to place the accelerometer and six step length estimators are compared considering the proposed sensor placement in a preliminary database of healthy volunteers. Adaptation methods to some of these estimators are also proposed and compared. The comparison shows that the adapted estimators improve the performance and reduce errors in respect of the original methods applied in the new sensor location. |
dc.format.extent | 7 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Ciències de la salut |
dc.subject.other | Parkinson disease(PD) |
dc.subject.other | step length |
dc.subject.other | gait speed |
dc.subject.other | anterior superior iliac spine (ASIS) |
dc.subject.other | center of mass (COM) |
dc.title | Comparison and adaptation of step length and gait speed estimators from single belt worn accelerometer positioned on lateral side of the body |
dc.type | Conference lecture |
dc.subject.lemac | Parkinson, Malaltia de |
dc.contributor.group | Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
dc.contributor.group | Universitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6657475 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 13395586 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Sayeed, T.; Sama, A.; Catala, A.; Cabestany, J. |
local.citation.contributor | IEEE International Symposium on Intelligent Signal Processing |
local.citation.pubplace | Funchal |
local.citation.publicationName | Proceedings of the IEEE 8th International Symposium on Intelligent Signal Processing (WISP) |
local.citation.startingPage | 14 |
local.citation.endingPage | 20 |