Effect of foot sole hardness, thickness and footwear on foot pressure distribution parameters in diabetic neuropathy

Charanya, G.; Patil, K. M.; Narayanamurthy, V. B.; Parivalavan, R.; Visvanathan, K

doi:10.1243/0954411042632117

Cited by 51 publications

(57 citation statements)

References 16 publications

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“…Their studies showed that all measured parameters had considerable influence on the development of plantar ulcers. The effects of foot sole hardness, thickness and footwear on walking-foot pressure distribution parameters (power ratio (PR)) in diabetic neuropathy were studied [14]. They showed that, providing microcellular rubber insole footwear based on optimum hardness and thickness was helpful in healing plantar ulcers in three to 4 weeks.…”

Section: Introductionmentioning

confidence: 99%

Computer-Based Identification of Type 2 Diabetic Subjects with and Without Neuropathy Using Dynamic Planter Pressure and Principal Component Analysis

et al. 2011

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Diabetes is a chronic disease that is characterized by an increased blood glucose level due to insulin resistance. Type 2 diabetes is common in middle aged and old people. In this work, we present a technique to analyze dynamic foot pressures images and classify them into normal, diabetes type 2 with and without neuropathy classes. Plantar pressure images were obtained using the F-Scan (Tekscan, USA) in-shoe measurement system. We used Principal Component Analysis (PCA) and extracted the eigenvalues from different regions of the foot image. The features extracted from region 1 of the foot pressure image, which were found to be clinically significant, were fed into the Fuzzy classifier (Sugeno model) for automatic classification. Our results show that the proposed method is able to identify the unknown class with an accuracy of 93.7%, sensitivity of 100%, and specificity of 83.3%. Moreover, in this work, we have proposed an integrated index using the eigenvalues to differentiate the normal subjects from diabetes with and without neuropathy subjects using just one number. This index will help the clinicians in easy and objective daily screening, and it can also be used as an adjunct tool to cross check their diagnosis.

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Section: Introductionmentioning

confidence: 99%

Computer-Based Identification of Type 2 Diabetic Subjects with and Without Neuropathy Using Dynamic Planter Pressure and Principal Component Analysis

et al. 2011

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“…Prabhu et al [24] have analyzed the plantar pressure distribution in the diabetic neuropathy subjects in the frequency domain. Recently, Jacob et al [25] and Charanya et al [26] have evaluated different parameters like power ratio, foot sole hardness, foot sole soft thickness for diabetic neuropathic subjects. And they found that, the power ratio is more for the diabetic neuropathic subjects.…”

Section: Introductionmentioning

confidence: 99%

Analysis of plantar pressure in diabetic type 2 subjects with and without neuropathy

et al. 2006

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“…It has been found that increases in the order of 137-337% in A 1 and 88-131% in H 1 occur, corresponding to 66.7 and 200% increases in the Shore values, respectively, in foot sole areas 5 (first MTH) and 8 (big toe). This shows that, for area 8, compared with other m'eas, changes in Shore level are reflected as larger changes in the respective tissue texture and therefore a larger incidence of ulcers in this area, as shown by CHARANYA et al (2004b).…”

Section: Discussionmentioning

confidence: 76%

Texture analysis of foot sole soft tissue images in diabetic neuropathy using wavelet transform

Puri

Patil

Balasubramanian

et al. 2005

Med. Biol. Eng. Comput.

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The paper presents a new method of characterisation of texture changes in foot sole soft tissue ultrasound (US) images, as observed to occur in diabetic subjects, using wavelet transforms. US images of the soft tissue subcutaneous layer were taken with a 7.5 MHz linear transducer probe placed parallel to the skin surface. The foot sole hardness was characterised by Shore level. A 2D discrete wavelet transform was performed on the US images to extract features that encode the internal state of the foot sole soft tissue. The global energy feature computed at the output of each wavelet channel was found to achieve excellent delineation between the normal and the diabetic groups. An important finding was a strong correlation, in the order of 0.84 and above, between the feature values that reflect changes in the internal arrangement of the tissue, and the externally measurable hardening of the skin, characterised by the Shore levels, with the latter known to be high for diabetics. A comparison drawn between diabetic ulcer and non-ulcer groups established a change in the order of 122-311% in the textural parameter, as influenced by a corresponding 66.7-200% change in the respective Shore values. Thus US examination of foot sole soft tissue and its texture analysis may serve as sources of valuable information regarding the internal changes taking place with progressive hardening of the soft tissue and thereby help the clinician in taking appropriate preventive measures.

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Effect of foot sole hardness, thickness and footwear on foot pressure distribution parameters in diabetic neuropathy

Cited by 51 publications

References 16 publications

Computer-Based Identification of Type 2 Diabetic Subjects with and Without Neuropathy Using Dynamic Planter Pressure and Principal Component Analysis

Computer-Based Identification of Type 2 Diabetic Subjects with and Without Neuropathy Using Dynamic Planter Pressure and Principal Component Analysis

Analysis of plantar pressure in diabetic type 2 subjects with and without neuropathy

Texture analysis of foot sole soft tissue images in diabetic neuropathy using wavelet transform

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