2010
DOI: 10.1016/j.clinbiomech.2009.09.002
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A three-dimensional kinematic and kinetic comparison of overground and treadmill walking in healthy elderly subjects

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Cited by 158 publications
(113 citation statements)
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“…These minimize the potential effects of the treadmill on the gait that was analyzed. While treadmill walking was suggested to produce different walking pattern compared to over-ground walking, some previous studies suggested that the kinematics and kinetics changes produced by treadmill walking were small (Parvataneni et al, 2009;Watt et al, 2010).…”
Section: Discussionmentioning
confidence: 98%
“…These minimize the potential effects of the treadmill on the gait that was analyzed. While treadmill walking was suggested to produce different walking pattern compared to over-ground walking, some previous studies suggested that the kinematics and kinetics changes produced by treadmill walking were small (Parvataneni et al, 2009;Watt et al, 2010).…”
Section: Discussionmentioning
confidence: 98%
“…Walking mode (overground or treadmill) is known to affect the spatialtemporal patterns of older persons. 80 Consequently, the post hoc sensitivity analyses that excluded treadmill studies yielded small differences in the pooled effect sizes (range, -0.3 to 0.2), indicating minimal effect of walking mode on these spatial-temporal parameters. The inconsistencies in the heterogeneity (I 2 ) changes after the post hoc sensitivity analyses suggest that other factors may be contributing to the heterogeneity between studies.…”
Section: 60mentioning
confidence: 99%
“…24 These recommendations are also important for interpreting adaptations in other gait parameters, such as joint kinematics and moments, in those with hip OA. In general, other potentially confounding variables, such as the walking surface (treadmill versus overground), 76,80 footwear (barefoot versus shod), 20,74 and participant height 29 and sex, 46 should also be considered, together with the possible influence of different data-collection procedures (3-D motion capture versus instrumented walkways, and single-versus split-belt treadmills) and data-analysis procedures (definitions of spatial-temporal parameters and normalization procedures). In addition, while this review focused on mean double-support durations and step widths of individual participants as measures of gait stability, the strideto-stride variability of these and other spatial-temporal parameters may provide additional insight into the effect of hip OA on gait stability.…”
Section: 60mentioning
confidence: 99%
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“…보행시점은 뒤꿈 치 착지와 발가락 이지의 검출을 통해 양다리의 입각기(stance phase)와 유각기(swing phase)를 구분할 수 있으며, 이를 통해 각 보행 간격(stride length, width) 및 시간(stride time, step time, double support time)을 추출하고, 이에 따른 신체 각 부위의 운 동학적(joint angles, trajectory), 운동역학적(loading condition, joint moment) 분석을 수행하는데 필요한 정보로 사용되고 있다 (Perry, 1992;Winter, 2005). 또한 외상환자의 보조기 착용, 중추 신경계 질환 및 낙상위험성 등의 질환 및 질병의 정도 및 예방 을 수행하는 임상적 보행평가에도 많이 사용되고 있다 (Corazza, Undermann, Chaudhari, Demattio, Cobelli & Andriacchi, 2006 (Watt, Franz, Jackson, Dicharry, Riley & Kerrigan, 2010), 보행패 턴의 변화를 야기 시킨다(Paravataeni, Pleog, Olney & Brouwer, 2009 (Bamberg, Benbasat, Scarborough, Krebs & Paradiso, 2008;Lyons, Burridge & Wilcox, 2002;Skelly & Chizeck, 2001 (Choi, Kang, Mun, Bang & Tack, 2009;Jasiewicz, Allum, Middleton, Barriskill, Condie, Purcell & Li, 2006;Pappas, Popovic, Keller, Dietz & Morari, 2001 기존에 보행시점 검출방법과 분석방법 연구에 대한 메타 분 석을 실시한 Rueterbories et al(2010) …”
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