Spectral analysis of bone low frequency vibration signals

Razaghi, Hajar; Saatchi, Reza; Offiah, A.C.; Bishop, Nick; Burke, Derek

doi:10.1109/csndsp.2012.6292718

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…Some related studies have found that the response varies depending on the presence or absence of fracture. 2,3,5–9 In particular, there are different responses at low and high frequencies, and this has also been observed in experiments. The present study develops an intelligent system to detect these characteristic responses and features.…”

Section: Introductionmentioning

confidence: 52%

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Investigation of bone fracture diagnosis system using transverse vibration response

Yoon

Woo

Sim

et al. 2021

Proc Inst Mech Eng H

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In this study, a new diagnostic system is developed to easily identify bone fractures in non-medical environments. It is difficult to determine the extent of cracks, fractures, and the healing process inside humans owing to the differences among people and limitations of state-of-the-art medical devices. Thus, various medical techniques, such as X-ray, computed tomography, or fork tuning systems have been developed, and more advanced technologies are emerging in the medical engineering field. In hazardous circumstances, medical devices to detect bone fracture are not available or cannot be easily applied. Thus, there is a need for the rapid detection of bone fractures without medical devices. To this end, this study analyzes the transverse vibration responses of bones because bone fractures cause different mechanical vibration reactions. By comparing the transverse vibration responses of both healthy and fractured bones, the modal assurance criterion can be calculated and applied to detect the existence of bone fractures. The transverse vibration responses at low and high frequencies are different and exhibit different modal assurance criteria depending on whether or not they are abnormal. Then, the virtual spectrogram of the differences between the signals from non-fractured and fractured bones is calculated. With the help of the present criterion with transverse vibration data, this difference can be analyzed quantitatively and effectively. To validate the proposed system, experiments with artificial specimens, animal legs, and a cadaver are performed.

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Section: Introductionmentioning

confidence: 52%

“…The low-frequency vibration of animal bone with skin and muscle has been studied previously. 7 In order to satisfy the requirements of various applications, many studies related to bone fractures have been conducted using various techniques.…”

Section: Introductionmentioning

confidence: 99%

Investigation of bone fracture diagnosis system using transverse vibration response

Yoon

Woo

Sim

et al. 2021

Proc Inst Mech Eng H

View full text Add to dashboard Cite

show abstract

“…As the recordings were performed in vivo on children, detailed exploration of these factors was not practical in this study. However, we have previously explored these issues in vitro using turkey legs [22,23]. In these studies, vibration responses were recorded from intact turkey legs (i.e.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Vibration Analysis to Assess Bone Mineral Density in Children

Razaghi

Saatchi

Bishop

et al. 2020

Wseas Transactions on Biology and Biomedicine

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The effectiveness of vibration analysis to assess bone mineral density (BMD) in children with suspected reduction in bone density was studied. A system was designed that measured the ulna's vibration responses in vivo. The system was evaluated on the ulnae of 48 children (mean age=12.0, std=3.5 years), 31 of whom had been confirmed to have osteogenesis imperfecta (OI). All ch ildren had dual energy X-ray absorptiometry (DXA) scan as part of their routine clinical care and vibration analysis was pe rformed on t he same day. Frequency spectra of the ulnae's vibration responses were obtained and processed by principal component analysis. Four main principal components were selected and together with age, sex and right hand ulna's length were used in a regression analysis to estimate BMD. Regression analysis was repeated using the children's leave-one-out and partitioni ng methods. The percentage similarity and correlation between the DXA-derived and vibration analysis estimated BMDs using the leave-one-out were 80.34% and 0.59 and for partitioning were 74.2% and 0.64 respectively. There was correlation between vibration analysis BMD readings a nd those derived from DXA however a larger study will be needed to better establish the extent to which vibration analysis can assist in assessing bone density in clinical environments.

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“…The effects of skin and muscle on the bone's low frequency vibration signals have been demonstrated [9]. We have previously used samples of frequency spectra from adults with and without wrist injuries, to cluster analyze into fractured and sprained bones [10].…”

Section: Introductionmentioning

confidence: 99%

Signal Processing Techniques for Accurate Screening of Wrist Fractures

Ali¹,

Alboul²,

Offiah³

2017

IFIP Advances in Information and Communication Technology

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The common way for doctors to differentiate wrist injury in to a sprain or a fracture, is to take radiographs (X-ray), which expose patients to radiation. The purpose of this study is to explore a non-invasive method to screen for potential fractures. A small, computer run system has been developed which consists of a vibration induction mechanism and a sensing system for capturing the vibration signals. Two analyzing techniques were considered. The first involves extraction of wavelet coefficients from decomposition of data and the second applies Fast Fourier Transform to the data. Results of both techniques were then cluster analyzed to partition between fracture and sprain. The data were acquired from both the injured and uninjured wrists of six adult patients. This study is currently being evaluated on children's wrists.

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Spectral analysis of bone low frequency vibration signals

Cited by 4 publications

References 14 publications

Investigation of bone fracture diagnosis system using transverse vibration response

Investigation of bone fracture diagnosis system using transverse vibration response

Evaluation of Vibration Analysis to Assess Bone Mineral Density in Children

Signal Processing Techniques for Accurate Screening of Wrist Fractures

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