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[Digital System for the Geriatric Somatic Function Assessment].

Xiaolei Qiu1,2, Zhiming Yao1,3,4, Xianjun Yang1

  • 1Institute of Intelligent Machines, Chinese Academy of Science, Hefei, 230031.

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|June 5, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a digital system for assessing elderly physical function using gait and balance data. The system accurately differentiates between fallers and non-fallers, correlating well with clinical scales.

Keywords:
balancedigitizationgaitsomatic function assessmentthe elderly

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Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Digital Health

Background:

  • Current geriatric somatic function assessment relies on subjective observation and scales.
  • Lack of objective and quantitative criteria hinders accurate evaluation of elderly physical function.

Purpose of the Study:

  • To design and construct a digital system for objective geriatric somatic function assessment.
  • To evaluate the system's ability to differentiate fall risk and correlate with clinical measures.

Main Methods:

  • Utilized a digital system integrating digital ground, inertial units, and mobile/PC terminals.
  • Collected gait and balance parameters using the Time Up and Go test and five postures test.
  • Employed a linear regression model for gait and balance parameter analysis.

Main Results:

  • The digital system accurately distinguished between elderly individuals who fall and those who do not.
  • System scores demonstrated a high correlation with scores from established clinical geriatric physical function scales.

Conclusions:

  • The developed digital system offers an objective and quantitative method for assessing elderly somatic function.
  • This technology shows promise in fall risk assessment and monitoring functional decline in older adults.