TY - GEN
T1 - Non-invasive fall risk assessment in community dwelling elderly with wireless inertial measurement units
AU - Lockhart, Thurmon E.
AU - Yeoh, Han T.
AU - Soangra, Rahul
AU - Jongprasithporn, Manutchanok
AU - Zhang, Jian
AU - Wu, Xuefang
AU - Ghosh, Arka
PY - 2012
Y1 - 2012
N2 - Falls are among the most serious accidents among the elderly leading to increased injuries, reduced functioning and mortality. In 2009, about 2.2 million nonfatal fall injuries were reported among the elderly population (CDC, 2010). In this study, eleven community dwelling elderly (aged 65-84 years) participated in fall risk assessment camp at sterling senior center organized by Northern Virginia Fall Prevention Coalition (NVFPC). Three custom made wireless inertial measurement units (IMUs) were attached on trunk and both shanks. All participants performed postural and locomotor tasks such as sit-to-stand (STS) and timed up and go (TUG). Temporal and kinematic parameters were obtained. Raw signals obtained were denoised using ensemble empirical mode decomposition and savistzky-golay filtering. The mean and standard deviation of TUG time and STS completion time for participants were found to be 11.3±6.6 sec and 3.58±2.07 sec respectively. The high variation in the result may be due to the use of assistive devices (i.e., cane and walker) by two participants. The objective of this study is to classify fall prone community dwelling individuals using non-invasive system. Four participants were classified as fall prone, three without fall risk and four were at potential risk based on their objective assessment and task performance. This system provides a platform for identifying fall prone individuals and may be used for early fall interventions among the elderly.
AB - Falls are among the most serious accidents among the elderly leading to increased injuries, reduced functioning and mortality. In 2009, about 2.2 million nonfatal fall injuries were reported among the elderly population (CDC, 2010). In this study, eleven community dwelling elderly (aged 65-84 years) participated in fall risk assessment camp at sterling senior center organized by Northern Virginia Fall Prevention Coalition (NVFPC). Three custom made wireless inertial measurement units (IMUs) were attached on trunk and both shanks. All participants performed postural and locomotor tasks such as sit-to-stand (STS) and timed up and go (TUG). Temporal and kinematic parameters were obtained. Raw signals obtained were denoised using ensemble empirical mode decomposition and savistzky-golay filtering. The mean and standard deviation of TUG time and STS completion time for participants were found to be 11.3±6.6 sec and 3.58±2.07 sec respectively. The high variation in the result may be due to the use of assistive devices (i.e., cane and walker) by two participants. The objective of this study is to classify fall prone community dwelling individuals using non-invasive system. Four participants were classified as fall prone, three without fall risk and four were at potential risk based on their objective assessment and task performance. This system provides a platform for identifying fall prone individuals and may be used for early fall interventions among the elderly.
KW - Community dwelling elderly
KW - Ensemble empirical mode decomposition
KW - Fall
KW - Inertial measurement units
KW - Timed up and go
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M3 - Conference contribution
AN - SCOPUS:84865047681
SN - 9781618399595
T3 - 49th Annual Rocky Mountain Bioengineering Symposium and 49th International ISA Biomedical Sciences Instrumentation Symposium
SP - 439
EP - 446
BT - 49th Annual Rocky Mountain Bioengineering Symposium and 49th International ISA Biomedical Sciences Instrumentation Symposium
T2 - 49th Annual Rocky Mountain Bioengineering Symposium and 49th International ISA Biomedical Sciences Instrumentation Symposium
Y2 - 22 March 2012 through 24 March 2012
ER -