Gait; walking; accelerometers; signal processing; detection; gait event; gait phases; gait cycle; heel strike; toe strike; heel-off; toe-off; validation
Abstract :
[en] An original signal processing algorithm is presented to automatically extract, on a stride-by-stride basis, four consecutive fundamental events of walking, heel strike (HS), toe strike (TS), heel-off (HO), and toe-off (TO), from wireless accelerometers applied to the right and left foot. First, the signals recorded from heel and toe three-axis accelerometers are segmented providing heel and toe flat phases. Then, the four gait events are defined from these flat phases. The accelerometer-based event identification was validated in seven healthy volunteers and a total of 247 trials against reference data provided by a force plate, a kinematic 3D analysis system, and video camera. HS, TS, HO, and TO were detected with a temporal accuracy ± precision of 1.3 ms ± 7.2 ms, ‒4.2 ms ± 10.9 ms, ‒3.7 ms ± 14.5 ms, and ‒1.8 ms ± 11.8 ms, respectively, with the associated 95% confidence intervals ranging from ‒6.3 ms to 2.2 ms. It is concluded that the developed accelerometer-based method can accurately and precisely detect HS, TS, HO, and TO, and could thus be used for the ambulatory monitoring of gait features computed from these events when measured concurrently in both feet.
Research center :
Signal and Image Exploitation (INTELSIG) / Laboratoire d'Analyse du Mouvement Humain (LAMH) - University of Liège, Liège, Belgium
Disciplines :
Electrical & electronics engineering
Author, co-author :
Boutaayamou, Mohamed ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images
Schwartz, Cédric ; Université de Liège - ULiège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation
Stamatakis, Julien
Denoël, Vincent ; Université de Liège - ULiège > Département ArGEnCo > Analyse sous actions aléatoires en génie civil
Maquet, Didier ; Université de Liège - ULiège > Département des sciences de la motricité > Département des sciences de la motricité
Forthomme, Bénédicte ; Université de Liège - ULiège > Département des sciences de la motricité > Rééducation du membre supérieur
Croisier, Jean-Louis ; Université de Liège - ULiège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation
Macq, Benoît; Université Catholique de Louvain - UCL > Institute of Information and Communication Technologies, Electronics and Applied Mathematics > Laboratoire de Télécommunications et Télédétection
Verly, Jacques ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images
Garraux, Gaëtan ; Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Biochimie et physiologie du système nerveux
Bruls, Olivier ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire des Systèmes Multicorps et Mécatroniques
Language :
English
Title :
Development and validation of an accelerometer-based method for quantifying gait events
Highlights:
• Relevant gait events are accurately and precisely extracted from acceleration data,
• The algorithm extracts the gait events without any need for critical filtering,
• The algorithm is based on a novel piecewise linear fitting technique,
• Signal sub-regions are identified to accurately extract the gait events,
• The accelerometer-based method is successfully validated using reference data.
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