Motion analysis measurements of body movements during standing: association with age and sex

Kejonen, Pirjo; Kauranen, Kari; Ahasan, Rabiul; Vanharanta, Heikki

doi:10.1097/00004356-200212000-00007

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…Reliable information about the range of assumed or normal values at different ages is required when effective preventive and rehabilitative efforts are being planned. Until now, studies aiming to present such normative data have suffered from small numbers of subjects and selective or unclear participation [6][7][8][9][10][11] . In some studies only a narrow age spectrum has been included [12] .…”

Section: Introductionmentioning

confidence: 99%

Postural Balance in a Random Sample of 7,979 Subjects Aged 30 Years and Over

et al. 2006

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Background: Reliable normative data for force platform measurements of postural balance have not been available. Methods: Data on postural balance were collected from a representative nationwide sample of a Finnish population aged ≧30 years (n = 7,979). As part of a comprehensive health survey (Health 2000), postural balance was measured with the help of a force platform system in four test conditions: normal standing with eyes open and closed (both for 30 s), semi-tandem (20 s) and tandem stand with eyes open (20 s). In addition, balance abilities were also evaluated by a non-instrumented field test. Results: The main findings of this study indicated that the differences in balance between subjects belonging to different age categories were apparent already among young and middle-aged subjects. This is true, however, only for the more accurate force platform measurements, as the field test showed a clear ceiling effect up to 60 years of age. At higher ages both methods indicated a further, accelerating decline in balance function. In most cases, males tended to have more pronounced sway, as indicated by the speed and amplitude aspects of the movement of the center of pressure during the force platform registrations and these differences were larger in the older age groups. In contrast, in the field test a larger proportion of males were able to achieve the highest category (10 s in tandem stand) and the proportion of subjects unable to stand for a minimum of 10 s feet side by side was larger among females than males. These observations may partly be due to differences in the participation/acceptable performance in the different tests. In addition, the field test and force platform measurements may partially reflect different aspects of balance abilities. Conclusion: The results of the present study provide normative values for force platform balance tests at an age of 30 years and above. Deterioration in balance function clearly starts at relatively young ages and further accelerates from at about 60 years upwards. Due to systematic differences between males and females, separate normative values for both sexes are needed. Due to marked ceiling effects the field test can only be recommended for older individuals, aged ≧60. On the other hand, force platform registrations in the more demanding tests (semi-tandem and tandem stands) suffer from floor effects in the oldest age groups.

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Section: Introductionmentioning

confidence: 99%

Postural Balance in a Random Sample of 7,979 Subjects Aged 30 Years and Over

et al. 2006

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“…19,38,91,92 These studies demonstrate the ability of measures derived from 3-D motional analysis to discriminate between tasks with different balance requirements, or between individuals with and without balance problems. Studies of concurrent validity during gait usually include 3-D motion analysis as a criterion measure due to its recognised status as the 'gold standard' for pre-surgical gait assessment.…”

Section: Validity Of Three-dimensional Motion Analysismentioning

confidence: 71%

Assessment of dynamic walking balance in children with acquired brain injury

Alderson¹,

Watson²,

Main³

2007

Physical Therapy Reviews

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Original article can be found at: http://maney.co.uk/index.php/journals/ptr/ Copyright W.S. Maney & Son Ltd. [Full text of this article is not available in the UHRA]Children with brain injuries typically present with walking and balance difficulties, and successful rehabilitation depends on the therapist's ability to measure and understand the different components of gait accurately. Professional guidelines stress the need for adequate outcome measurement. Despite this, there is no standardised assessment of walking balance in children for use in clinical assessment. Measurement tools range from observational to three-dimensional gait analysis. Observational analysis lacks reliability and accuracy whilst clinical gait analysis is time-consuming and costly, requires complex nterpretation and is not routinely available to clinicians. Portable sensors and pressure sensitive devices have recently emerged as alternatives. In situations where it is preferable to avoid attachments to the child, the measurement of the forces or pressures generated by the body to control its movement and balance offers a practical solution. This review will discuss the advantages and limitations of these tools

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“…A gait laboratory typically uses different tools, including force platform, pressure-sensing walkway, and three-dimensional (3D) motion analysis to evaluate the biomechanics of gait [6][7]. However, despite their high precision, these laboratory tools are less appropriate for home use because of their high cost and elaborate setup requirements.…”

Section: Introductionmentioning

confidence: 99%

Vision-based approach for long-term mobility monitoring: Single case study following total hip replacement

Dolatabadi¹,

Taati²,

Mihailidis³

2014

J Rehabil Res Dev

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This article presents a single case study on the feasibility of using a low-cost and portable vision-based system (a Microsoft Kinect sensor) to monitor changes in movement patterns before and after a total hip replacement surgery. The primary subject was a male older adult with total hip replacement who performed two different functional tasks: walking and sit-to-stand. The tasks were recorded with a Kinect multiple times, starting from 1 d before the surgery until 9 wk after the surgery. An automated algorithm has been developed to extract the important spatiotemporal characteristics from the video recorded functional tasks (walking and sit-to-stand). Statistical analysis was then performed by Tryon C statistic to study changes in spatiotemporal characteristics between different stages before and after the surgery. The statistical analysis indicated significant difference and slight improvement between all measures from the presurgery to each postsurgery date. The study confirmed that the Kinect sensor and an automated algorithm have the potential to be integrated into a patient's home to monitor changes in mobility during the recovery period.

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Motion analysis measurements of body movements during standing: association with age and sex

Cited by 12 publications

References 9 publications

Postural Balance in a Random Sample of 7,979 Subjects Aged 30 Years and Over

Postural Balance in a Random Sample of 7,979 Subjects Aged 30 Years and Over

Assessment of dynamic walking balance in children with acquired brain injury

Vision-based approach for long-term mobility monitoring: Single case study following total hip replacement

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