Evaluation of Chip LED Sensor Module for Fat Thickness Measurement using Tissue Phantoms

Hwang, In-Kyeong; Shin, Kyoo Ho; Ho, Dong Su; Kim, Beop Min

doi:10.1109/iembs.2006.259965

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…The improvement offered by the cosine corrector in the NIR body fat measurement demonstrates the importance of appropriate equipment and device selection in NIR configurations. This was in agreement with a study by Hwang et al ., in which they used varied types of LEDs with different view angles (lamp at 20° over miniature chip at 120°) in NIR phantom experiments resulting in higher sensitivity by the miniature chip25.…”

Section: Discussionmentioning

confidence: 99%

“…Past NIR subcutaneous fat studies using simulations and phantom measurement methods have found that light reflection increases logarithmically with the thickness of the fat layer2529. The logarithmic relationship can be attributed to the high influence of fat on light scattering.…”

Section: Discussionmentioning

confidence: 99%

“…For example the subcutaneous fat layer beneath the thigh skin of low birth weight and normal full term neonates were found to be 1.7 mm to 3.0 mm and 3.0 mm to 5.0 mm respectively12. To our knowledge, there have been no specific studies to determine NIR maximum thickness detection, which might rely on the type of NIR devices used and acceptance power source emitted25.…”

Section: Discussionmentioning

confidence: 99%

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Length-free near infrared measurement of newborn malnutrition

Mustafa

Bek

Huvanandana

et al. 2016

Sci Rep

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Under-nutrition in neonates can cause immediate mortality, impaired cognitive development and early onset adult disease. Body fat percentage measured using air-displacement-plethysmography has been found to better indicate under-nutrition than conventional birth weight percentiles. However, air-displacement-plethysmography equipment is expensive and non-portable, so is not suited for use in developing communities where the burden is often the greatest. We proposed a new body fat measurement technique using a length-free model with near-infrared spectroscopy measurements on a single site of the body - the thigh. To remove the need for length measurement, we developed a model with five discrete wavelengths and a sex parameter. The model was developed using air-displacement-plethysmography measurements in 52 neonates within 48 hours of birth. We identified instrumentation required in a low-cost LED-based screening device and incorporated a receptor device that can increase the amount of light collected. This near-infrared method may be suitable as a low cost screening tool for detecting body fat levels and monitoring nutritional interventions for malnutrition in neonates and young children in resource-constrained communities.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Length-free near infrared measurement of newborn malnutrition

Mustafa

Bek

Huvanandana

et al. 2016

Sci Rep

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show abstract

“…As the distance between the LED and photodetector increased, the detected light intensity rapidly decreased. However, the backward scattering light carried more fat information with more LEDs, which improved the resolution and signal to noise ratio [15]. Therefore, it could be inferred that P 1 and P 4 were the two major factors in the models and skin color P 5 did not influence the measurement distinctly.…”

Section: Regression Modelsmentioning

confidence: 98%

“…Measuring SAT thickness by near-infrared (NIR) light is another noninvasive and convenient approach. Previous work investigated the reflected intensity as a function of fat thickness, from which the fat thickness measurement could be derived with curve fitting procedure (Hwang et al 2006, Song et al 2009. Several studies using an optical device called a Lipometer (from Medical University Graz, Austria) indicated that there were close relationships between thickness of SAT layers and body fat measured by DXA (Jürimäe et al 2007) and BIA (Jürimäe 2005).…”

Section: Introductionmentioning

confidence: 99%

Regression models for near-infrared measurement of subcutaneous adipose tissue thickness

et al. 2016

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Abstract:Obesity is often associated with the risks of diabetes and cardiovascular disease, and there is a need to measure the subcutaneous adipose tissue (SAT) thickness for acquiring the distribution of body fat. The present study aimed to develop and evaluate different model-based methods for SAT thickness measurement using a SATmeter developed in our lab. Near infrared signals backscattered from body surface were recorded from 40 subjects at 20 body sites each. Linear regression (LR) and support vector regression (SVR) models were established to predict SAT thickness on different body sites. The measurement accuracy was evaluated by ultrasound, and compared with mechanical skinfold caliper (MSC) and body composition balance monitor (BCBM). The results showed that both LR and SVR based measurement produced better accuracy than MSC and BCBM. It has also been concluded that using the regression models specifically designed for certain local parts of human body, higher measurement accuracy could be achieved than using the general model for the whole body. Our results demonstrated that SATmeter is a feasible method, which can be applied at home and community for its portability and convenience.

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Measurement of subcutaneous adipose tissue thickness by near-infrared

Wang

Yang

Hao

et al. 2013

Australas Phys Eng Sci Med

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Obesity is strongly associated with the risks of diabetes and cardiovascular disease, and there is a need to measure the subcutaneous adipose tissue (SAT) layer thickness and to understand the distribution of body fat. A device was designed to illuminate the body parts by near-infrared (NIR), measure the backscattered light, and predict the SAT layer thickness. The device was controlled by a single-chip microcontroller (SCM), and the thickness value was presented on a liquid crystal display (LCD). There were 30 subjects in this study, and the measurements were performed on 14 body parts for each subject. The paper investigated the impacts of pressure and skin colour on the measurement. Combining with principal component analysis (PCA) and support vector regression (SVR), the measurement accuracy of SAT layer thickness was 89.1 % with a mechanical caliper as reference. The measuring range was 5-11 mm. The study provides a non-invasive and low-cost technique to detect subcutaneous fat thickness, which is more accessible and affordable compared to other conventional techniques. The designed device can be used at home and in community.

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Evaluation of Chip LED Sensor Module for Fat Thickness Measurement using Tissue Phantoms

Cited by 8 publications

References 3 publications

Length-free near infrared measurement of newborn malnutrition

Length-free near infrared measurement of newborn malnutrition

Regression models for near-infrared measurement of subcutaneous adipose tissue thickness

Measurement of subcutaneous adipose tissue thickness by near-infrared

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