Segment inertial properties of Chinese adults determined from magnetic resonance imaging

Cheng Kung Cheng, Hsiang Ho Chen, Chen Sheng Chen, Chen Lung Lee, Chih Yong Chen

Research output: Contribution to journalArticle

101 Citations (Scopus)

Abstract

Objective. To improve the simulation of the task of manual materials handling for Chinese laborers, this study estimated the inertial properties of Chinese adults by using magnetic resonance imaging. Design. Magnetic resonance imaging was used as a means of estimating inertial property. Following the estimation of inertial properties for the Chinese subjects, comparison between estimates for Chinese and Caucasian populations was made. Background. Estimates of segment inertial properties are frequently based on data and procedures developed from human cadaver studies in which inertial properties have been measured directly. The errors might be derived from the utilization of the Caucasian data were questioned in our previous study on the spinal force prediction of the Chinese subjects during manual lifting. Methods. Magnetic resonance images were scanned at a 20 mm interval from eight males aged 26 (S.D., 4) years. Tissues were differentiated and verified using adequate intensity thresholds on each slice, and the segmental volume and mass were integrated by slices. The moments of inertia for each segment were then determined about the anatomical axes using the parallel axis theorem. Results. Results showed that our estimates were close to the data derived by Dempster with a slight deviation. Larger percentages of mass were found in the upper arm (4.0%) and thigh (13.6%) than in previous studies. On the other hand, smaller moments of inertia about three axes were noted in the shank. Conclusion. Biomechanical modeling of the human body requires accurate prediction of body segment parameters that include measures of volume, mass, center of mass, and moments of inertia. This study suggests the need to estimate the inertial properties of segments from the Chinese population. Application of the data may improve the simulation of the task of manual materials handling for Chinese laborers in the future studies.RelevanceBiomechanical modeling of the human body requires accurate prediction of body segment parameters that include measures of volume, mass, center of mass, and moments of inertia. To obtain the basic data of segment parameters for the Chinese adults, this study was proceeded with the magnetic resonance imaging technique. Copyright (C) 2000 Elsevier Science Ltd.

Original languageEnglish
Pages (from-to)559-566
Number of pages8
JournalClinical Biomechanics
Volume15
Issue number8
DOIs
Publication statusPublished - Oct 2000
Externally publishedYes

Fingerprint

Magnetic Resonance Imaging
Human Body
Thigh
Cadaver
Population
Arm
Magnetic Resonance Spectroscopy

Keywords

  • Anthropometry
  • Biomechanics
  • Chinese adults
  • Inertial properties
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine

Cite this

Segment inertial properties of Chinese adults determined from magnetic resonance imaging. / Cheng, Cheng Kung; Chen, Hsiang Ho; Chen, Chen Sheng; Lee, Chen Lung; Chen, Chih Yong.

In: Clinical Biomechanics, Vol. 15, No. 8, 10.2000, p. 559-566.

Research output: Contribution to journalArticle

Cheng, Cheng Kung ; Chen, Hsiang Ho ; Chen, Chen Sheng ; Lee, Chen Lung ; Chen, Chih Yong. / Segment inertial properties of Chinese adults determined from magnetic resonance imaging. In: Clinical Biomechanics. 2000 ; Vol. 15, No. 8. pp. 559-566.
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abstract = "Objective. To improve the simulation of the task of manual materials handling for Chinese laborers, this study estimated the inertial properties of Chinese adults by using magnetic resonance imaging. Design. Magnetic resonance imaging was used as a means of estimating inertial property. Following the estimation of inertial properties for the Chinese subjects, comparison between estimates for Chinese and Caucasian populations was made. Background. Estimates of segment inertial properties are frequently based on data and procedures developed from human cadaver studies in which inertial properties have been measured directly. The errors might be derived from the utilization of the Caucasian data were questioned in our previous study on the spinal force prediction of the Chinese subjects during manual lifting. Methods. Magnetic resonance images were scanned at a 20 mm interval from eight males aged 26 (S.D., 4) years. Tissues were differentiated and verified using adequate intensity thresholds on each slice, and the segmental volume and mass were integrated by slices. The moments of inertia for each segment were then determined about the anatomical axes using the parallel axis theorem. Results. Results showed that our estimates were close to the data derived by Dempster with a slight deviation. Larger percentages of mass were found in the upper arm (4.0{\%}) and thigh (13.6{\%}) than in previous studies. On the other hand, smaller moments of inertia about three axes were noted in the shank. Conclusion. Biomechanical modeling of the human body requires accurate prediction of body segment parameters that include measures of volume, mass, center of mass, and moments of inertia. This study suggests the need to estimate the inertial properties of segments from the Chinese population. Application of the data may improve the simulation of the task of manual materials handling for Chinese laborers in the future studies.RelevanceBiomechanical modeling of the human body requires accurate prediction of body segment parameters that include measures of volume, mass, center of mass, and moments of inertia. To obtain the basic data of segment parameters for the Chinese adults, this study was proceeded with the magnetic resonance imaging technique. Copyright (C) 2000 Elsevier Science Ltd.",
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AB - Objective. To improve the simulation of the task of manual materials handling for Chinese laborers, this study estimated the inertial properties of Chinese adults by using magnetic resonance imaging. Design. Magnetic resonance imaging was used as a means of estimating inertial property. Following the estimation of inertial properties for the Chinese subjects, comparison between estimates for Chinese and Caucasian populations was made. Background. Estimates of segment inertial properties are frequently based on data and procedures developed from human cadaver studies in which inertial properties have been measured directly. The errors might be derived from the utilization of the Caucasian data were questioned in our previous study on the spinal force prediction of the Chinese subjects during manual lifting. Methods. Magnetic resonance images were scanned at a 20 mm interval from eight males aged 26 (S.D., 4) years. Tissues were differentiated and verified using adequate intensity thresholds on each slice, and the segmental volume and mass were integrated by slices. The moments of inertia for each segment were then determined about the anatomical axes using the parallel axis theorem. Results. Results showed that our estimates were close to the data derived by Dempster with a slight deviation. Larger percentages of mass were found in the upper arm (4.0%) and thigh (13.6%) than in previous studies. On the other hand, smaller moments of inertia about three axes were noted in the shank. Conclusion. Biomechanical modeling of the human body requires accurate prediction of body segment parameters that include measures of volume, mass, center of mass, and moments of inertia. This study suggests the need to estimate the inertial properties of segments from the Chinese population. Application of the data may improve the simulation of the task of manual materials handling for Chinese laborers in the future studies.RelevanceBiomechanical modeling of the human body requires accurate prediction of body segment parameters that include measures of volume, mass, center of mass, and moments of inertia. To obtain the basic data of segment parameters for the Chinese adults, this study was proceeded with the magnetic resonance imaging technique. Copyright (C) 2000 Elsevier Science Ltd.

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