Effect of age on body sway assessed by computerized posturography

Fujita, Takeshi; Nakamura, Shôji; Ohue, Mutsumi; Fujii, Y.; Miyauchi, Akimitsu; Takagi, Yasuyuki; Tsugeno, Hirofumi

doi:10.1007/s00774-004-0554-7

Cited by 95 publications

(59 citation statements)

References 11 publications

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“…This result is in agreement with previous studies showing that stability decreases with age: more aged less stable [25][26][27].…”

Section: Age Effectssupporting

confidence: 93%

See 1 more Smart Citation

Discrete wavelet and modified PCA decompositions for postural stability analysis in biometric applications

Maatar¹,

Fournier²,

Lachiri³

et al. 2011

JBiSE

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The aim of this study is to compare the Discrete wavelet decomposition and the modified Principal Analysis Component (PCA) decomposition to analyze the stabilogram for the purpose to provide a new insight about human postural stability. Discrete wavelet analysis is used to decompose the stabilogram into several timescale components (i.e. detail wavelet coefficients and approximation wavelet coefficients). Whereas, the modified PCA decomposition is applied to decompose the stabilogram into three components, namely: trend, rambling and trembling. Based on the modified PCA analysis, the trace of analytic trembling and rambling in the complex plan highlights a unique rotation center. The same property is found when considering the detail wavelet coefficients. Based on this property, the area of the circle in which 95% of the trace's data points are located, is extracted to provide important information about the postural equilibrium status of healthy subjects (average age 31 ± 11 years). Based on experimental results, this parameter seems to be a valuable parameter in order to highlight the effect of visual entries, stabilogram direction, gender and age on the postural stability. Obtained results show also that wavelets and the modified PCA decomposition can discriminate the subjects by gender which is particularly interesting in biometric applications and human stability simulation. Moreover, both techniques highlight the fact that male are less stable than female and the fact that there is no correlation between human stability and his age (under 60).

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“…This result is in agreement with previous studies showing that stability decreases with age: more aged less stable [25][26][27].…”

Section: Age Effectssupporting

confidence: 93%

“…From the literature [25][26][27][28], one can report that the stability of an individual deceases after 60 years old. When using the mPCA on rambling, two groups can be distinguished which is particularly interesting and promising.…”

Section: Age Effectsmentioning

confidence: 99%

Discrete wavelet and modified PCA decompositions for postural stability analysis in biometric applications

Maatar¹,

Fournier²,

Lachiri³

et al. 2011

JBiSE

View full text Add to dashboard Cite

show abstract

“…Much of our knowledge about the relationship between vision and balance has been obtained largely by comparing eyes open and closed conditions, and observing the effects upon body sway (Uchida et al 1979;Hytonen et al 1993;Fujita et al 2005;Rougier and Garin 2006;Guerraz and Bronstein 2008;Uchiyama and Demura 2008). While it has been shown that older adults sway more in response to unexpected eye-movements (Speers et al 2002;van Wegen et al 2002;Monzani et al 2005), the relationship between postural configuration and eyemovement behaviour is not well understood.…”

Section: Introductionmentioning

confidence: 99%

Age-related effects of increasing postural challenge on eye movement onset latencies to visual targets

et al. 2016

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When a single light cue is given in the visual field, our eyes orient towards it with an average latency of 200 ms. If a second cue is presented at or around the time of the response to the first, a secondary eye movement occurs that represents a re-orientation to the new target. While studies have shown that eye movement latencies to 'single-step' targets may or may not be lengthened with age, secondary eye-movements (during 'double-step' displacements) are significantly delayed with increasing age. The aim of this study was to investigate if the postural challenge posed simply by standing (as opposed to sitting) results in significantly longer eye movement latencies in older adults compared to the young. Ten young (<35 years) and 10 older healthy adults (>65 years) participated in the study. They were required to fixate upon a central target and move their eyes in response to 2 types of stimuli: 1) a single-step perturbation of target position either 15º to the right or left, and 2) a double-step target displacement incorporating an initial target jump to the right or left by 15º, followed after 200 ms, by a shift of target position to the opposite side (e.g., +15º then -15º). All target displacement conditions were executed in sit and stand positions with the participant at the same distance from the targets. Eye movements were recorded using electro-oculography. Older adults did not show significantly longer eye movement latencies than the younger adults for single-step target displacements, and postural configuration (stand compared to sit) had no effect upon latencies for either group. We categorised double-step trials into those during which the second light changed after or before the onset of the eye shift to the first light. For the former category, young participants showed faster secondary eye shifts to the second light in the standing position, while the older adults did not. For the latter category of double-step trial, young participants showed no significant difference between sit and stand secondary eye movement latencies, but older adults were significantly longer standing compared to sitting. The older adults were significantly longer than the younger adults across both postural conditions, regardless of when the second light change occurred during the eye shift to the first light. We suggest that older adults require greater time and perhaps attentional processes to execute eye movements to unexpected changes of target position when faced with the need to maintain standing balance.

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“…Em especial, com relação à área, idosos apresentaram maiores valores que jovens tanto na BSST quanto na BSN. Enquanto alguns trabalhos que analisaram jovens e idosos na base de suporte normal [14][15] encontraram diferença entre os valores de área de deslocamento do centro de pressão, corroborando o presente trabalho, outros estudos não encontraram diferença entre os dois grupos analisados 7,[16][17] . A maior área de oscilação postural pode refl etir a inefi cácia no controle postural e défi cit nos movimentos de ajuste fi no, o que poderia estar relacionado à má utilização da informação somatossensorial para corrigir as oscilações posturais, podendo refl etir atraso e imprecisão no feedback sensorial para detectar a posição do centro de massa 5 .…”

Section: Discussionunclassified

Effects of aging and base of support in postural control

Lahr

Ugrinowitsch

Santos

et al. 2017

Rev Bras Educ Fís Esporte

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ResumoEste estudo teve como objetivos avaliar o controle postural de jovens e idosos em relação à direção predominante e à área de deslocamento do centro de pressão, buscando verifi car se diferentes bases de suporte evidenciam diferenças entre os grupos para estas duas variáveis. A amostra foi composta por oito adultos jovens (22,6±2,33 anos) e oito idosos (75,4±5,7 anos), e a tarefa consistiu em permanecer de pé sobre uma plataforma de força por 30 segundos, em duas bases de suporte: normal (BSN) e semi-tandem (BSST), sendo realizadas três tentativas em cada uma delas. Avaliou-se as variáveis "área" e "direção" de oscilação, ambas derivadas no centro de pressão. Os resultados mostraram que idosos apresentaram maior oscilação corporal que jovens e a restrição na base de suporte ampliou a oscilação de ambos os grupos etários. Conclui-se que idosos e jovens apresentam comportamentos distintos em relação à oscilação corporal e que o aumento na difi culdade da tarefa é capaz de evidenciar parcialmente essas diferenças. PALAVRAS-CHAVE: Controle postural; Envelhecimento; Demanda da tarefa; Postura quieta.A manutenção do controle postural é uma tarefa complexa, que exige interação entre diversos sistemas, e tem como função manter o centro de gravidade dentro dos limites da base de suporte 1 , visando o controle e a estabilidade de um sistema multissegmentar, formado por inúmeros graus de liberdade 2 . No controle postural, assim como em outras ações do comportamento motor humano, vários componentes do organismo interagem, originando determinados padrões de atividade muscular 3 , em que há uma interação dinâmica envolvendo os sistemas nervoso, sensorial e muscular 4 . O controle postural pode ser avaliado por meio da oscilação corporal na postura ereta quieta, mensurada pela trajetória do centro de pressão. Desta medida podem derivar diversas variáveis, tais como a área (elipse formada por 95% dos pontos da trajetória do centro de pressão), e o ângulo (θ) constituído entre o eixo maior dessa elipse e o eixo ântero-posterior do corpo humano, que indica a direção predominante de oscilação corporal [5][6] . Um fator que interfere na oscilação corporal é a base de suporte, que pode alterar a exigência dos sistemas envolvidos no controle postural, o que evidenciaria diferenças nas estratégias adotadas por distintos grupos etários com vistas à manutenção do equilíbrio corporal [7][8] . Ainda, com o avançar da idade, podem ocorrer mudanças nas estratégias utilizadas para manutenção do equilíbrio postural, uma vez que o envelhecimento acarreta perdas funcionais e motoras, e isso pode refl etir não apenas na forma, mas também na variabilidade do comportamento motor apresentado por esses indivíduos 6,9-10 . Assim, o presente trabalho levantou a seguinte questão: modifi cações nas bases de suporte levariam a aumento de difi culdade na tarefa de modo a distinguir a direção e área de deslocamento do centro de pressão entre adultos jovens e idosos?O estudo tem como objetivos analisar a oscilação corporal considerando: a) o efeito da...

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Effect of age on body sway assessed by computerized posturography

Cited by 95 publications

References 11 publications

Discrete wavelet and modified PCA decompositions for postural stability analysis in biometric applications

Discrete wavelet and modified PCA decompositions for postural stability analysis in biometric applications

Age-related effects of increasing postural challenge on eye movement onset latencies to visual targets

Effects of aging and base of support in postural control

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