Age-Related Influence on Static and Dynamic Balance Abilities: An Inertial Measurement Unit-Based Evaluation
Balance control, a complex sensorimotor skill, declines with age. Assessing balance is crucial for identifying fall risk and implementing interventions in the older population. This study aimed to measure age-dependent changes in static and dynamic balance using inertial measurement units in a clini...
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Published in | Sensors (Basel, Switzerland) Vol. 24; no. 21; p. 7078 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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01.11.2024
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Abstract | Balance control, a complex sensorimotor skill, declines with age. Assessing balance is crucial for identifying fall risk and implementing interventions in the older population. This study aimed to measure age-dependent changes in static and dynamic balance using inertial measurement units in a clinical setting. This study included 82 healthy participants aged 20–85 years. For the dynamic balance test, participants stood on a horizontally swaying balance board. For the static balance test, they stood on one leg. Inertial measurement units attached to their bodies recorded kinematic data, with average absolute angular velocities assessing balance capabilities. In the dynamic test, the younger participants had smaller average absolute angular velocities in most body parts than those of the middle-aged and older groups, with no significant differences between the middle-aged and older groups. Conversely, in the single-leg stance tests, the young and middle-aged groups outperformed the older group, with no significant differences between the young and middle-aged groups. Thus, dynamic and static balance decline at different stages with age. These results highlight the complementary role of inertial measurement unit-based evaluation in understanding the effect of age on postural control mechanisms, offering valuable insights for tailoring rehabilitation protocols in clinical settings. |
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AbstractList | Balance control, a complex sensorimotor skill, declines with age. Assessing balance is crucial for identifying fall risk and implementing interventions in the older population. This study aimed to measure age-dependent changes in static and dynamic balance using inertial measurement units in a clinical setting. This study included 82 healthy participants aged 20–85 years. For the dynamic balance test, participants stood on a horizontally swaying balance board. For the static balance test, they stood on one leg. Inertial measurement units attached to their bodies recorded kinematic data, with average absolute angular velocities assessing balance capabilities. In the dynamic test, the younger participants had smaller average absolute angular velocities in most body parts than those of the middle-aged and older groups, with no significant differences between the middle-aged and older groups. Conversely, in the single-leg stance tests, the young and middle-aged groups outperformed the older group, with no significant differences between the young and middle-aged groups. Thus, dynamic and static balance decline at different stages with age. These results highlight the complementary role of inertial measurement unit-based evaluation in understanding the effect of age on postural control mechanisms, offering valuable insights for tailoring rehabilitation protocols in clinical settings. Balance control, a complex sensorimotor skill, declines with age. Assessing balance is crucial for identifying fall risk and implementing interventions in the older population. This study aimed to measure age-dependent changes in static and dynamic balance using inertial measurement units in a clinical setting. This study included 82 healthy participants aged 20-85 years. For the dynamic balance test, participants stood on a horizontally swaying balance board. For the static balance test, they stood on one leg. Inertial measurement units attached to their bodies recorded kinematic data, with average absolute angular velocities assessing balance capabilities. In the dynamic test, the younger participants had smaller average absolute angular velocities in most body parts than those of the middle-aged and older groups, with no significant differences between the middle-aged and older groups. Conversely, in the single-leg stance tests, the young and middle-aged groups outperformed the older group, with no significant differences between the young and middle-aged groups. Thus, dynamic and static balance decline at different stages with age. These results highlight the complementary role of inertial measurement unit-based evaluation in understanding the effect of age on postural control mechanisms, offering valuable insights for tailoring rehabilitation protocols in clinical settings.Balance control, a complex sensorimotor skill, declines with age. Assessing balance is crucial for identifying fall risk and implementing interventions in the older population. This study aimed to measure age-dependent changes in static and dynamic balance using inertial measurement units in a clinical setting. This study included 82 healthy participants aged 20-85 years. For the dynamic balance test, participants stood on a horizontally swaying balance board. For the static balance test, they stood on one leg. Inertial measurement units attached to their bodies recorded kinematic data, with average absolute angular velocities assessing balance capabilities. In the dynamic test, the younger participants had smaller average absolute angular velocities in most body parts than those of the middle-aged and older groups, with no significant differences between the middle-aged and older groups. Conversely, in the single-leg stance tests, the young and middle-aged groups outperformed the older group, with no significant differences between the young and middle-aged groups. Thus, dynamic and static balance decline at different stages with age. These results highlight the complementary role of inertial measurement unit-based evaluation in understanding the effect of age on postural control mechanisms, offering valuable insights for tailoring rehabilitation protocols in clinical settings. |
Audience | Academic |
Author | Chen, Szu-Fu Wang, Fu-Cheng Lin, Tzu-Tung Chen, Chien-Cheng Cheng, Lin-Yen Tan, Yin-Keat Pan, Wei-Ren |
AuthorAffiliation | 3 Department of Mechanical Engineering, National Taiwan University, Taipei 106, Taiwan ykeat11322@gmail.com (Y.-K.T.) 1 Department of Physical Medicine and Rehabilitation, Cheng Hsin General Hospital, Taipei 112, Taiwan; b101100094@tmu.edu.tw (T.-T.L.); a09830886@gmail.com (L.-Y.C.); braddom.chen@gmail.com (C.-C.C.) 2 Graduate Institute of Gerontology and Health Care Management, Chang Gung University of Science and Technology, Taoyuan 333, Taiwan 4 Department of Physiology and Biophysics, National Defense Medical Center, Taipei 114, Taiwan |
AuthorAffiliation_xml | – name: 4 Department of Physiology and Biophysics, National Defense Medical Center, Taipei 114, Taiwan – name: 1 Department of Physical Medicine and Rehabilitation, Cheng Hsin General Hospital, Taipei 112, Taiwan; b101100094@tmu.edu.tw (T.-T.L.); a09830886@gmail.com (L.-Y.C.); braddom.chen@gmail.com (C.-C.C.) – name: 3 Department of Mechanical Engineering, National Taiwan University, Taipei 106, Taiwan ykeat11322@gmail.com (Y.-K.T.) – name: 2 Graduate Institute of Gerontology and Health Care Management, Chang Gung University of Science and Technology, Taoyuan 333, Taiwan |
Author_xml | – sequence: 1 givenname: Tzu-Tung surname: Lin fullname: Lin, Tzu-Tung – sequence: 2 givenname: Lin-Yen surname: Cheng fullname: Cheng, Lin-Yen – sequence: 3 givenname: Chien-Cheng surname: Chen fullname: Chen, Chien-Cheng – sequence: 4 givenname: Wei-Ren surname: Pan fullname: Pan, Wei-Ren – sequence: 5 givenname: Yin-Keat surname: Tan fullname: Tan, Yin-Keat – sequence: 6 givenname: Szu-Fu surname: Chen fullname: Chen, Szu-Fu – sequence: 7 givenname: Fu-Cheng orcidid: 0000-0001-5011-7934 surname: Wang fullname: Wang, Fu-Cheng |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 A preliminary version of this work, titled “The Effect of Age on Static and Dynamic Balance Abilities: Inertial Measurement Unit-Based Evaluation,” was presented as an oral presentation at the 2024 IEEE 10th International Conference on Applied System Innovation (IEEE ICASI 2024), Kyoto, Japan, 17–21 April 2024. |
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SubjectTerms | Accidental Falls - prevention & control Adult Age Factors age-dependent changes Aged Aged, 80 and over Aging - physiology angular velocities Balance Biomechanical Phenomena - physiology Falls (Accidents) Female Gait Humans inertial measurement units Kinematics Male Measurement Middle age Middle Aged Older people Postural Balance - physiology Posture single-leg stance Young Adult |
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Title | Age-Related Influence on Static and Dynamic Balance Abilities: An Inertial Measurement Unit-Based Evaluation |
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