Frequency analysis of the center of pressure in tandem stance in community-dwelling elderly

Suzuki, Makoto; Fujisawa, Hiroyuki; Suzuki, Hiroto; Kawakami, S.; Murakami, Kenichi; Miki, Chie

doi:10.1589/jpts.29.828

Cited by 8 publications

(4 citation statements)

References 8 publications

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“…The frequency and stochastic analysis of quiet stance posturography data may be relevant to detect persons at risk of falling (Gilfriche et al, 2018;Kouzaki and Masani, 2012;Schumann et al, 1995;Suzuki et al, 2017) or possible neurological impairments (Salsabili et al, 2013). Despite the known benefits of such analyses, however, and the recognition of the additional clinical value they bring (Baratto et al, 2002;Chiari et al, 2000;König Ignasiak et al, 2017;Rasku et al, 2012;Tallon et al, 2013) at present they remain time-consuming and difficult to perform, which explains their scattered presence in the literature.…”

Section: Summary Of Overall Evidencementioning

confidence: 99%

Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis

Quijoux

Vienne-Jumeau

Bertin-Hugault³

et al. 2020

Ageing Research Reviews

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Falling is the second most prevalent cause of accidental death in the world. Currently available clinical tests to assess balance in older people are insufficiently sensitive to screen for fall risk in this population. Laboratory tests that record the center of pressure (COP) trajectory could overcome this problem but despite their widespread use, the choice of COP trajectory features for use as a biomarker of fall risk lacks consensus. This systematic review and meta-analysis aimed at identifying the best COP characteristics to predict risk of falling in older adults. More than 4000 articles were screened; 44 (7176 older adults) were included in this study. Several COP parameters emerged as good indices to discriminate fallers from non-fallers. From sensitivity analysis, Sway area per unit time, anteroposterior mean velocity, and radial mean velocity were the best traditional features. In this study, identification of older people with a high fall risk was demonstrated using quiet-standing recordings. Such screening would also be useful for routine follow-up of balance changes in older fallers in clinical practice.

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Section: Summary Of Overall Evidencementioning

confidence: 99%

Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis

Quijoux

Vienne-Jumeau

Bertin-Hugault³

et al. 2020

Ageing Research Reviews

View full text Add to dashboard Cite

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“…Consequently, the patients with DLD increased the frequency of adjustments to maintain balance within a reduced range of sway. Fast coordination, as suggested by Suzuki et al [ 55 ], is a crucial issue in maintaining a standing balancing task. In this regard, we conclude that the patients with DLD improved their rapid adjustment abilities after the training.…”

Section: Discussionmentioning

confidence: 99%

Virtual reality skateboarding training for balance and functional performance in degenerative lumbar spine disease

Tsai,

Hsu,

Kantha

et al. 2024

J NeuroEngineering Rehabil

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Background Degenerative lumbar spine disease (DLD) is a prevalent condition in middle-aged and elderly individuals. DLD frequently results in pain, muscle weakness, and motor impairment, which affect postural stability and functional performance in daily activities. Simulated skateboarding training could enable patients with DLD to engage in exercise with less pain and focus on single-leg weight-bearing. The purpose of this study was to investigate the effects of virtual reality (VR) skateboarding training on balance and functional performance in patients with DLD. Methods Fourteen patients with DLD and 21 age-matched healthy individuals completed a 6-week program of VR skateboarding training. The motion capture and force platform systems were synchronized to collect data during a single-leg stance test (SLST). Musculoskeletal simulation was utilized to calculate muscle force based on the data. Four functional performance tests were conducted to evaluate the improvement after the training. A Visual Analogue Scale (VAS) was also employed for pain assessment. Results After the training, pain intensity significantly decreased in patients with DLD (p = 0.024). Before the training, patients with DLD took longer than healthy individuals on the five times sit-to-stand test (p = 0.024). After the training, no significant between-group differences were observed in any of the functional performance tests (p > 0.05). In balance, patients with DLD were similar to healthy individuals after the training, except that the mean frequency (p = 0.014) was higher. Patients with DLD initially had higher biceps femoris force demands (p = 0.028) but shifted to increased gluteus maximus demand after the training (p = 0.037). Gluteus medius strength significantly improved in patients with DLD (p = 0.039), while healthy individuals showed consistent muscle force (p > 0.05). Conclusion This is the first study to apply the novel VR skateboarding training to patients with DLD. VR skateboarding training enabled patients with DLD to achieve the training effects in a posture that relieves lumbar spine pressure. The results also emphasized the significant benefits to patients with DLD, such as reduced pain, enhanced balance, and improved muscle performance.

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“…In the current study, larger mean frequency of PSDA indicated that higher body sway acceleration (the faster alternation of body sway velocity) was observed to adapt to the environment and vice versa. However, either too high or too low mean frequency of PSDA indicated a compromised gait/stand pattern [33]. Also, the average gait speeds in four different locomotor tasks and FES score are other dependent variables.…”

Section: Methodsmentioning

confidence: 99%

The use of smartphone in measuring stance and gait patterns in patients with orthostatic tremor

et al. 2019

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Orthostatic tremor (OT) is a rare movement disorder characterized by a fast tremor (13–18 Hz) in the lower extremities during stance. Patients with OT typically complain of instability while standing/walking. However, due to the geographical limitation, the standing instability or gait problems in patients with OT cannot be assessed and monitored frequently. The increasing popularity of using smartphone-based accelerometers could be a solution to eliminate this limitation. This study examined the feasibility of using smartphone-based accelerometers to identify the changes in body movement in different standing and locomotor tasks. Twenty patients with OT and seven healthy controls were consented to participate in this study. Subjects stood with eyes open or eyes closed for 20 seconds. They also performed four different locomotor tasks (normal walking, tandem walk, walking on an elevated surface, and obstacle negotiation). When performed different locomotor tasks, patients with OT had a larger acceleration of body movement than controls in the medial-lateral direction (tandem walk: p = 0.026, walking on an elevated surface: p = 0.002, and stepping over the obstacle: p = 0.028). Patients with OT had smaller acceleration of body movement than controls while standing with eyes open in the vertical direction ( p = 0.012), in the anterior-posterior direction ( p = 0.013) and in the medial-lateral direction ( p = 0.011). This study provides objective evidence of balance instability in patients with OT not only while standing but also during different challenging locomotor tasks by using smartphone-based accelerometers.

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Frequency analysis of the center of pressure in tandem stance in community-dwelling elderly

Cited by 8 publications

References 8 publications

Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis

Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis

Virtual reality skateboarding training for balance and functional performance in degenerative lumbar spine disease

The use of smartphone in measuring stance and gait patterns in patients with orthostatic tremor

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