Influence of accelerometer signal filtering on automatic detection of gait impact parameters

Autor:	Andrés Camacho García, Pedro Pérez Soriano, Ángel Lucas-Cuevas, Raúl Llinares Llopis
Rok vydání:	2016
Předmět:	Research groups Filter Computer science business.industry Filter (signal processing) Acceleration rate Accelerometer Cutoff frequency Gait (human) Accelerometry TEORIA DE LA SEÑAL Y COMUNICACIONES Gait analysis Computer vision Artificial intelligence business
Zdroj:	RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname
DOI:	10.15224/978-1-63248-087-3-15
Popis:	[EN] Filtering the signal recorded by an accelerometer is essential to remove noise recorded by the sensor, but in order to calculate gait parameters properly, the choice of a suitable cutoff frequency of the filter is critical. This paper evaluates the influence of the filter cutoff frequency in the calculation of the parameters: vertical peak tibial acceleration and acceleration rate. The accelerometer signal filtering with low-pass filter with cutoff frequency below 50 Hz gives good results in the calculation of peak tibial acceleration but produces estimations of the acceleration rate below its real value This work has been sponsored by the Generalitat Valenciana: application 09.02.03.542.50.7 budget line T4015 grant from the “Conselleria de Educación, Cultura y Deporte”, aid for conducting R & D for emerging research groups corresponding to the call set out in Annex IX, the Order 64/2014, of July 31, the “Conselleria de Educación, Cultura y Deporte” (DOCV no. 7.332, of August 5, 2014). Record GV /2015/067.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faf31d9dc77748717e2dc461d360011e https://doi.org/10.15224/978-1-63248-087-3-15 Zobrazit plný text záznamu