<meta charset="utf8"></head><body>iTUG 모션 캡처 기술을 사용한 노인의 낙상 위험 평가

<ol>
	<li>Dokuzlar, O., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Assessment+of+factors+that+increase+risk+of+falling+in+older+women+by+four+different+clinical+methods.">Assessment of factors that increase risk of falling in older women by four different clinical methods.</a> Aging Clin Exp Res. 32 (3), 483-490 (2020).</li><li>King, B., Pecanac, K., Krupp, A., Liebzeit, D., Mahoney, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Impact+of+fall+prevention+on+nurses+and+care+of+fall+risk+patients.">Impact of fall prevention on nurses and care of fall risk patients.</a> The Gerontologist. 58 (2), 331-340 (2018).</li><li>Mazur, K., Wilczy&#324;ski, K., Szewieczek, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Geriatric+falls+in+the+context+of+a+hospital+fall+prevention+program:+delirium,+low+body+mass+index,+and+other+risk+factors.">Geriatric falls in the context of a hospital fall prevention program: delirium, low body mass index, and other risk factors.</a> Clin Interv Aging. 11, 1253-1261 (2016).</li><li>Beck Jepsen, D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Predicting+falls+in+older+adults:+an+umbrella+review+of+instruments+assessing+gait,+balance,+and+functional+mobility.">Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility.</a> BMC Geriatrics. 22 (1), 615 (2022).</li><li>Meekes, W. M., Korevaar, J. C., Leemrijse, C. J., Van de Goor, I. 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A study on obese women.</a> J Electromyogr Kinesiol. 44, 78-85 (2019).</li><li>Ayena, J. C., Chioukh, L., Otis, M. J., Deslandes, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Risk+of+falling+in+a+timed+up+and+go+test+using+an+UWB+Radar+and+an+instrumented+insole.">Risk of falling in a timed up and go test using an UWB Radar and an instrumented insole.</a> Sensors. 21 (3), 722 (2021).</li><li>Sample, R. B., Kinney, A. L., Jackson, K., Diestelkamp, W., Bigelow, K. 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. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Validity+of+instrumented+360&#176;+turn+test+in+older+adults+with+cognitive+impairment.">Validity of instrumented 360&#176; turn test in older adults with cognitive impairment.</a> Phys Occup Ther Geriatr. 38 (2), 170-184 (2020).</li><li>Wang, H., Brown, S. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+effects+of+total+ankle+replacement+on+ankle+joint+mechanics+during+walking.">The effects of total ankle replacement on ankle joint mechanics during walking.</a> J Sport Health Sci. 6 (3), 340-345 (2017).</li><li>Mehdizadeh, S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+Toronto+older+adults+gait+archive:+video+and+3D+inertial+motion+capture+data+of+older+adults'+walking.">The Toronto older adults gait archive: video and 3D inertial motion capture data of older adults' walking.</a> Sci Data. 9 (1), 398 (2022).</li><li>Caronni, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Criterion+validity+of+the+instrumented+Timed+Up+and+Go+test:+A+partial+least+square+regression+study.">Criterion validity of the instrumented Timed Up and Go test: A partial least square regression study.</a> Gait Posture. 61, 287-293 (2018).</li><li>Mojtaba, M., Alinaghizadeh, H., Rydwik, E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Downton+Fall+Risk+Index+during+hospitalisation+is+associated+with+fall-related+injuries+after+discharge:+a+longitudinal+observational+study.">Downton Fall Risk Index during hospitalisation is associated with fall-related injuries after discharge: a longitudinal observational study.</a> J Physiother. 64 (3), 172-177 (2018).</li><li>Hershkovitz, L., Malcay, O., Grinberg, Y., Berkowitz, S., Kalron, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+contribution+of+the+instrumented+Timed-Up-and-Go+test+to+detect+falls+and+fear+of+falling+in+people+with+multiple+sclerosis.">The contribution of the instrumented Timed-Up-and-Go test to detect falls and fear of falling in people with multiple sclerosis.</a> Mult Scler Relat Disord. 27, 226-231 (2019).</li><li>Zarzeczny, R., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Aging+effect+on+the+instrumented+Timed-Up-and-Go+test+variables+in+nursing+home+women+aged+80-93+years.">Aging effect on the instrumented Timed-Up-and-Go test variables in nursing home women aged 80-93 years.</a> Biogerontology. 18 (4), 651-663 (2017).</li><li>Kim, K. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+instrumented+timed+&amp;#34;Up+&amp;+Go&amp;#34;+test+distinguishes+turning+characteristics+in+vestibular+hypofunction.">The instrumented timed &amp;#34;Up &amp; Go&amp;#34; test distinguishes turning characteristics in vestibular hypofunction.</a> Phys Ther. 101 (7), 103 (2021).</li><li>Montero-Odasso, M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=World+guidelines+for+falls+prevention+and+management+for+older+adults:+a+global+initiative.">World guidelines for falls prevention and management for older adults: a global initiative.</a> Age Ageing. 51 (9), (2023).</li><li>Rocchi, L., Palmerini, L., Weiss, A., Herman, T., Hausdorff, J. 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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>저자 스포트라이트: 향상된 위험 평가 및 인지 통찰력을 위한 iTUG 테스트의 혁신

계측 시간 초과 및 이동 테스트에서 모션 캡처 기술을 사용하여 노인의 낙상 위험을 감지합니다.

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

using-motion-capture-technology-instrumented-timed-up-go-test-to

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

556 조회수.  The Seventh Medical Center of Chinese PLA General Hospital. 본 연구에서는 모션 캡처 기술을 사용하여 iTUG Test 하위 구성 요소를 분석하고 iTUG Test 하위 작업 간의 상관 관계를 확인하는 것을 목표로 했습니다. 우리는 iTUG 테스트가 기존 TUG 테스트보다 더 많은 세부 정보를 보여주기 위해 포인트를 강조 표시했음을 보여주고 싶었습니다. 이 방법의 중요성은 모션 캡처 시스템과 함께 전통적인 TUG 테스트를 세분?...

비디오: 저자 스포트라이트: 향상된 위험 평가 및 인지 통찰력을 위한 iTUG 테스트의 혁신

Despite efforts made by medicine and technology, the incidence of falls in older adults is still increasing. Therefore, early detection of the falling risk is becoming increasingly important for falling prevention. The Timed Up and Go (TUG) test is a well-accepted tool to assess mobility and can be used in predicting future fall risk in aged adults. In clinical practice, the total time to complete the test is the main outcome measure of the TUG test. Owing to its simplicity and generality, the traditional TUG test has been considered a global test for movement analysis. However, recently, researchers have attempted to split the TUG test into subcomponents and have updated its score system for further investigations. The instrumented Time Up and Go (iTUG) test, which is a new modification of the traditional TUG test, has been reported to be a sensitive tool for predicting movement disorders and the risk of falls in older adults. The goal of the present study was to analyze the iTUG test subcomponents using motion capture technology, and to determine which iTUG test subtasks are related to the potential risk of future falls.

The instrumented Timed Up and Go (iTUG) test is gaining increasing attention in body sway and gait analysis with the development of new technologies. We present a protocol to analyze the subcomponents of the iTUG with motion capture.