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dc.contributor.authorMunoz-Organero, Mario
dc.contributor.authorParker, Jack
dc.contributor.authorPowell, Lauren
dc.contributor.authorDavies, Richard
dc.contributor.authorMawson, Sue
dc.date.accessioned2020-07-13T13:46:06Z
dc.date.available2020-07-13T13:46:06Z
dc.date.issued2017-05-15
dc.identifier.citationMuñoz-Organero, M., Parker, J., Powell, L., Davies, R. and Mawson, S., (2017). 'Sensor optimization in smart insoles for post-stroke gait asymmetries using total variation and L 1 distances'. IEEE Sensors Journal, 17(10), pp. 3142-3151.en_US
dc.identifier.issn1530-437X
dc.identifier.doi10.1109/jsen.2017.2686641
dc.identifier.urihttp://hdl.handle.net/10545/624985
dc.description.abstractBy deploying pressure sensors on insoles, the forces exerted by the different parts of the foot when performing tasks standing up can be captured. The number and location of sensors to use are important factors in order to enhance the accuracy of parameters used in assessment while minimizing the cost of the device by reducing the number of deployed sensors. Selecting the best locations and the required number of sensors depends on the application and the features that we want to assess. In this paper, we present a computational process to select the optimal set of sensors to characterize gait asymmetries and plantar pressure patterns for stroke survivors based upon the total variation and L1 distances. The proposed mechanism is ecologically validated in a real environment with 14 stroke survivors and 14 control users. The number of sensors is reduced to 4, minimizing the cost of the device both for commercial users and companies and enhancing the cost to benefit ratio for its uptake from a national healthcare system. The results show that the sensors that better represent the gait asymmetries for healthy controls are the sensors under the big toe and midfoot and the sensors in the forefoot and midfoot for stroke survivors. The results also show that all four regions of the foot (toes, forefoot, midfoot, and heel) play an important role for plantar pressure pattern reconstruction for stroke survivors, while the heel and forefoot region are more prominent for healthy controls.en_US
dc.description.sponsorshipHERMES-SMART DRIVER Project through the Spanish MINECOen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.urlhttps://ieeexplore.ieee.org/abstract/document/7885527en_US
dc.relation.urlhttp://eprints.whiterose.ac.uk/117137/en_US
dc.subjectInsole pressure sensors , stroke survivors , optimal sensor selectionen_US
dc.titleSensor optimization in smart insoles for post-stroke gait asymmetries using total variation and L1Distancesen_US
dc.typeArticleen_US
dc.identifier.eissn2379-9153
dc.contributor.departmentUniversidad Carlos III de Madrid, Madrid, Spainen_US
dc.contributor.departmentUniversity of Sheffielden_US
dc.contributor.departmentUniversity of Ulster, Belfasten_US
dc.identifier.journalIEEE Sensorsen_US
dc.source.journaltitleIEEE Sensors Journal
dc.source.volume17
dc.source.issue10
dc.source.beginpage3142
dc.source.endpage3151
dcterms.dateAccepted2017
dc.author.detail787041en_US


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