<meta charset="utf8"></head><body>Avaliando o risco de queda em idosos usando a tecnologia de captura de movimento iTUG

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E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Identification+of+key+outcome+measures+when+using+the+instrumented+timed+up+and+go+and/or+posturography+for+fall+screening.">Identification of key outcome measures when using the instrumented timed up and go and/or posturography for fall screening.</a> Gait Posture. 57, 168-171 (2017).</li><li>Beyea, J., McGibbon, C. A., Sexton, A., Noble, J., O'Connell, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Convergent+validity+of+a+wearable+sensor+system+for+measuring+sub-task+performance+during+the+timed+up-and-go+test.">Convergent validity of a wearable sensor system for measuring sub-task performance during the timed up-and-go test.</a> Sensors. 17 (4), 934 (2017).</li><li>McGough, E. L., Gries, M., Teri, L., Kelly, V. 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<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>Black strip</td>
			<td>Deli</td>
			<td>60 mm x 20 m</td>
			<td></td>
		</tr>
		<tr>
			<td>Calibrator</td>
			<td>NOKOV</td>
			<td>reflector marker1</td>
			<td>L shape</td>
		</tr>
		<tr>
			<td>Calibrator</td>
			<td>NOKOV</td>
			<td>reflector marker2</td>
			<td>T shape</td>
		</tr>
		<tr>
			<td>Chair</td>
			<td>YUANSHENGYUANDAI</td>
			<td>&#8220;10076062317820&#8221;</td>
			<td></td>
		</tr>
		<tr>
			<td>Computer</td>
			<td>HUAWEI</td>
			<td>HONOR</td>
			<td></td>
		</tr>
		<tr>
			<td>McRoberts sensor&#160;</td>
			<td colspan="3">DynaPort Hybrid, McRoberts, The Hague, The Netherland</td>
		</tr>
		<tr>
			<td>Motion capture camera</td>
			<td>NOKOV</td>
			<td>Mars2H</td>
			<td></td>
		</tr>
		<tr>
			<td>Motion capture software</td>
			<td>NOKOV</td>
			<td>DG-01</td>
			<td></td>
		</tr>
		<tr>
			<td>Reflective marker</td>
			<td>NOKOV</td>
			<td>small marker</td>
			<td>for calibrators</td>
		</tr>
		<tr>
			<td>Reflective marker</td>
			<td>NOKOV</td>
			<td>large marker</td>
			<td>for participants</td>
		</tr>
	</tbody>
</table>

using motion capture technology in the instrumented timed up and go test to detect the risk of falling in aged adults

Falling is one of the most common geriatric syndromes and is the second leading cause of accidental or unintentional injury-related deaths worldwide1. In adults aged above 65 years, falling can result in functional impairment, disability, decreased quality of life, increased length of stay in hospitals, and even mortality2,3. Therefore, preventing falls is of utmost importance.
To determine predictors of fall events, previous researchers have focused on gait analyses, balance tests, mental state, sedative drug use, as well as history of falling in the preceding year4,5 The Timed Up and Go (TUG) test is a quick performance-based measure of mobility. The TUG test has been extensively studied in older adults and is recommended as a simple screening test for the risk of falls6. This widely used test consists of rising from a chair, walking 3 m at the preferred speed, turning around, returning, and sitting. The traditional clinical outcome of this test depends on its total duration7 and is assessed by a stopwatch.
In clinical practice, the conventional TUG test measures the total time to perform a series of activities without dividing the performance of the subject into subcomponents8. Recently, some investigators have proposed that different TUG test components might be particularly sensitive as predictors of future falls9. When using the digitized instrumented TUG (iTUG) test, the individual components of the TUG test can be analyzed separately. By using the iTUG, it is possible to objectively evaluate several characteristics of each TUG test sub-phase and obtain quantitative data, such as the relevant durations, velocities, and angular velocity of each movement. With more detailed data, the iTUG test has shown the advantage of detecting specific deficits that may be more indicative of the fall risk10.
As the gold standard in movement analysis, motion capture technologies have been used to detect movement in patients with Parkinson&#39;s Disease (PD)11, cognitive impairment12, and ankle arthritis13, as well as in healthy adults14. In the current study, we aimed to analyze the iTUG test subcomponents using motion capture technology and to determine the correlation between iTUG test subtasks and the potential risk of future falls.

<meta charset="utf8"></head><body>Autor em destaque: Inovações no teste iTUG para avaliação de risco aprimorada e insights cognitivos

Usando a tecnologia de captura de movimento no teste Timed Up and Go instrumentado para detectar o risco de queda em adultos idosos

In the current study, we aimed to analyze the iTUG Test sub components, using motion capture technology, and to determine the correlation between iTUG Test subtasks. We wanted to show that iTUG Test has highlighted points to show more details than traditional TUG Test. The significance of this method is that it's subdivides the traditional TUG Test, with the motion capture system.Providing new variables regarding time and body sway. Our results demonstrated that some sub-components time variables rather than body sway variables, differed between groups with different leveled risk of falling. As recent studies have evidence that the TUG test sub per competence are associated with cognitive function.This method can also play with the V for screening for cognitive impairment.

Despite efforts made by medicine and technology, the incidence of falls in older adults is still increasing. Therefore, early detection of the falling ...

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Research

JoVE Journal

Medicine

Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults

449 visualizações.  The Seventh Medical Center of Chinese PLA General Hospital. No presente estudo, objetivamos analisar os subcomponentes do Teste iTUG, usando a tecnologia de captura de movimento, e determinar a correlação entre as subtarefas do Teste iTUG. Queríamos mostrar que o teste iTUG destacou pontos para mostrar mais detalhes do que o teste TUG tradicional. A importância deste método é que ele subdivide o teste TUG tradicional, com o sistema de captura de movimento.Fornecendo novas variáveis em relação ao tempo ...