Vibration measurements predict the mechanical properties of human tibia

Bediz, Bekir; Özgüven, H. Nevzat; Korkusuz, Feza

doi:10.1016/j.clinbiomech.2010.01.002

Cited by 36 publications

(37 citation statements)

References 15 publications

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“…The work reported by Bediz et al supports the finding of Cornelissen et al by presenting results showing the reduction in the natural frequency of a human tibia affected by osteopenia and osteoporosis. This study also highlighted the difficulties associated with the use of damping as a diagnostic tool for assessing bone mass density, as the total damping of the tibia is dominated by the soft tissues and muscles.…”

Section: Introductionsupporting

confidence: 70%

Extending structural health monitoring concepts for bone healing assessment

Ong

Chiu

Russ

et al. 2016

Fatigue Fract Eng Mat Struct

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A B S T R A C T A series of experimental investigations are performed to show the potential of integrating sensing elements into an external fixation for healing assessment of a fracture femur. This investigation is supported by finite element analyses that highlight the fundamental structural dynamics, which enable a stiffness-based healing assessment methodology. A saw-bone femur externally fixated with a Hoffman II will be subjected to an artificial fracture. The healing of the fractured femur is simulated with the curing of epoxy applied to the fractured region. The finite element analyses results will help determine the useful modes for assessing the state of healing of the fracture that can be attributed to the changes in the stiffness of the fixated structure. The findings will be tested against a set of experiments to show how the stiffness-related quantities can be delineated from the dynamic response. The results reported will show distinct changes to the frequency response functions as the epoxy cures demonstrating the potential of integrating sensors onto an external fixation for healing and fracture union assessment.Keywords bone fracture; bone healing assessment; structural health monitoring. N O M E N C L A T U R E(x,y,z) = Cartesian coordinate system ρ = density E = Young's modulus ν = Poisson's ratio f = frequency Z tf ( f ) = transfer function v force (t) = voltage time series from force transducer attached to impactor (load cell) v PVDF (t) = voltage time series from polyvinylidene fluoride sensor (film sensor) vˆf orce f ð Þ = voltage amplitude in frequency domain from force transducer attached to impactor vˆP VDF f ð Þ = voltage amplitude in frequency domain from polyvinylidene fluoride sensor ε(t) = strain time series ε s (f) = strain spectrum i(t) = input force time series Iˆf ð Þ = input force spectrum K force = force constant K PVDF = strain constant

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Section: Introductionsupporting

confidence: 70%

Extending structural health monitoring concepts for bone healing assessment

Ong

Chiu

Russ

et al. 2016

Fatigue Fract Eng Mat Struct

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“…delayed union and non-union) are simulated by with the curing of a range of epoxy adhesives applied to the saw cut. The influence of soft tissues and joints on the vibration response of a human tibia was reported by Cornelissen et al [17] and Bediz et al [18]. It has been shown that the mass loading given rise by the muscles decreases the resonant frequencies and increases damping.…”

Section: Introductionmentioning

confidence: 91%

“…The complexity of damping of human tissue reported by Cornelissen [17] and Bediz et al [18] will present a significant challenge in developing a definitive and quantitative finite element model of the fixated femur. To this end, the finite element model described in the succeeding texts is used as a qualitative tool to help with the interpretation of the experimental results and to underpin the fundamental effects of changing stiffness of the fractured region on the dynamic response of the fixated femur.…”

Section: Finite Element Analysismentioning

confidence: 98%

Integrating sensing elements on external fixators for healing assessment of fractured femur

Ong

Chiu

Russ

et al. 2016

Struct. Control Health Monit.

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SUMMARYThis paper highlights the potential of integrating SHM concepts into an external fixator with the aim of using it to assess the healing of a fractured femur. A finite element analysis was first performed on the fixated femur to understand the response of the fixated femur in its fractured and healed state. The underlying mechanics will be used to establish a suitable monitoring strategy for assessment of healing. The results will be supported by a series of experiments using a fixated saw-bone femur, which has been cut to simulate fracture. The cut was filled with epoxy, and the curing of this epoxy was used to simulate healing of the fractured region. The findings lead to an actuation and sensing protocol able to determine the state of union of a fixated long bone. This methodology was tested further by using modelling clay to approximate the mass added by soft tissue surrounding the bone. These results illustrate that the integration of SHM and orthopaedic concepts can provide a quantitative measure that can be used in conjunction with existing techniques for the monitoring of the state of healing of the fracture. This represents a significant potential of reducing or eliminating the qualitative healing assessment.

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“…It was shown that the bone's natural frequency from vibration analyses correlated closely to BMD of the radius [13]. More recently a study explored the potential of vibration analysis to diagnose metabolic bone diseases such as osteoporosis and fracture healing [14]. They used vibration analysis to examine bone, both in vitro and in vivo situations.…”

Section: Introductionmentioning

confidence: 99%

Correlation analysis of bone vibration frequency and bone mineral density in children

Razaghi

Saatchi

Huggins

et al. 2014

2014 9th International Symposium on Communication Systems, Networks &Amp; Digital Sign (CSNDSP)

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Vibration frequencies of ulnae in 19 children aged between 10 and 15 years old were correlated with their bone mineral densities (BMDs) determined using dual energy x-ray absorptiometry. A correlation analysis method to identify the best frequency range for the vibration analysis was developed. The correlation of subjects' bone vibration frequencies in the identified frequency range with their BMDs were 0.71 (for first order polynomial) and 0.81 (for second order polynomial). This is an initial study, based on a small group of subjects. We are currently continuing the work on a larger number of subjects to confirm the findings.

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Vibration measurements predict the mechanical properties of human tibia

Cited by 36 publications

References 15 publications

Extending structural health monitoring concepts for bone healing assessment

Extending structural health monitoring concepts for bone healing assessment

Integrating sensing elements on external fixators for healing assessment of fractured femur

Correlation analysis of bone vibration frequency and bone mineral density in children

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