Simple Method for Estimation of Hemoglobin in Human Blood Using Color Analysis

Ranganathan, H.; Gunasekaran, Nallappan

doi:10.1109/titb.2006.874195

Cited by 36 publications

(18 citation statements)

References 5 publications

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“…The hemoglobin (Hb) level was estimated from whole blood using a kit (RFLC, Baddi, HP, India), where cyanmethemoglobin was measured at 540 nm. The linearity of this method was tested up to 20 g/dL (Ranganathan and Gunasekaran,2006).…”

Section: Methodsmentioning

confidence: 99%

Antioxidant and metabolic impairment result in DNA damage in arsenic‐exposed individuals with severe dermatological manifestations in Eastern India

Maiti

Chattopadhyay

Deb

et al. 2010

Environmental Toxicology

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Arsenic is an environmental toxicant, free-radical generator, carcinogenic agent, and aging promoter. Recently, blood samples were analyzed from individuals (control- male 12, female 13; arsenic-exposed- male 16, female 14; and exposed to ≥100 μg/L As, ≥10 y) with dermatological symptoms in few affected villages in Eastern India to unravel their hematopoietic, metabolic, and antioxidant profiles. White blood cells recovered from buffy coat were used for DNA fragmentation test. Present observation suggests that significant number of individuals developed pigmentation and palmoplantar hyperkeratosis with black-brownish patch on their body and many of those developed carcinomas. Hematopoietic data show a significant increase in eosinophil and decrease in monocyte count in either sex. Though insignificant, an increase in neutrophil in female and lymphocyte count in male arsenic-exposed individuals are supported by the earlier report on sex dimorphic immune sensitization. Significant increase in serum alanine transaminase in both sexes and bilirubin only in male suggests the eventuality of hepatic disintegration. Arsenic exposure significantly decreased serum amylase in female. A significant decrease in antioxidant components like catalase, soluble thiol, and recently recognized uric acid worsened the situation by generating free radicals as observed in significant rise in malondialdehyde level, which finally increased DNA fragmentation and arsenic-associated mutagenesis and carcinogenesis. This could attribute to lowering in immune competence and related necrotic and/or apoptotic manifestations.

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Section: Methodsmentioning

confidence: 99%

Antioxidant and metabolic impairment result in DNA damage in arsenic‐exposed individuals with severe dermatological manifestations in Eastern India

Maiti

Chattopadhyay

Deb

et al. 2010

Environmental Toxicology

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“…for adaptation in low source settings. [9] The magnitude of the anaemia has been documented in pregnant women and infants, however there is lack of data on the prevailing occurrence of anaemia in children of Northeast India. Keeping this in view, the present study was undertaken to estimate the prevalence of anaemia among children of 0 to 12 years' age group and to assess its correlation to variables such as age, gender, haemoglobin values and magnitude of anaemia.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Anaemia Among Children Aged 12 Years and Younger in North East India

Devi¹,

Singh²

2016

jebmh

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BACKGROUND AND OBJECTIVEAnaemia is one of the most important public health problem among children. The infants, preschool children, adolescents and pregnant women are at highest risk of nutritional anaemia. The aim of this study was to evaluate the prevalence of anaemia and its correlation to age, gender, haemoglobin values and magnitude of anaemia among the children of North East India. METHODSA cross sectional study was conducted in a tertiary care hospital between October 2013 to September 2014. A total of 500 children in the age group 0 to 12 years were enrolled after obtaining written informed consent from the parents. Haemoglobin estimation was done by Sahli's method using finger prick blood samples. As per WHO recommendation, haemoglobin values below 11 gm/dl was considered anaemic. Statistical data were analysed. RESULTSThe overall prevalence of anaemia was 71.2% with males having 5.2%higher than females. The majority of age group comprises 1 to ≤5 years (36.0%) and 83.3% of them were anaemic. The highest value of haemoglobin estimated was 14.8 gm/dl with the lowest value of 5.2 gm/dl. The mean haemoglobin level was 10.76±1.21 gm/dl. 53.4% children were mildly anaemic. Both male and female children were affected more with mild anaemia than other types of anaemia. CONCLUSIONOur results suggest that all the children should be screened for anaemia irrespective of age and sex as the prevalence is high. Early intervention and appropriate measures should be taken to prevent from anaemia and its associated diseases. HOW TO CITE THIS ARTICLE:Devi RR, Singh KC. Prevalence of anaemia among children aged 12 years and younger in north east India.

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“…Ranganathan and Gunasekaran [9] used a sample of blood, then smeared it on a glass plate to prepare a slide and used color analysis to estimate Hb value using artificial neural networks. In [10], we have extensively studied the behavior of WHO HCS and tried to come up with an algorithm to estimate Hb based on the digital photograph of WHO HCS and the blood with nearest neighbor algorithm.…”

Section: Introductionmentioning

confidence: 99%

Low cost point of care estimation of Hemoglobin levels

Kumar

Mahadevappa

Goswami

2014

2014 International Conference on Medical Imaging, M-Health and Emerging Communication Systems (MedCom)

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Anemia is a public health problem that affects populations in low-income and middle-income countries. World Health Organization defines anemia status by hemoglobin (Hb) concentrations. Our aim is to develop a method to estimate Hb levels in low resource settings. It is proposed to take an image of a drop of blood on a filter strip under controlled conditions and then estimate the Hb level of the blood using an image processing algorithm. In the first part of the paper we discuss the protocol used to simulate the controlled conditions needed to capture the image of the blood drop. In the second part of the paper, blood drop of 33 individuals were collected with the prototype. A classification tree and correlation based approach to feature selection was used to classify 4 levels of Hb (Class I -Hb above 12 g/dl, Class II -Hb between 10 and 12, Class III -Hb between 8 and 10, Class IV -Hb below 8) in the data. The features selected ('Y' from XYZ color space, 'a' from Lab color space and 'S' from HSI color space) from classification tree were used to train an artificial neural network. The data was partitioned into 17 training samples and 16 testing samples. The confusion matrix obtained on the testing set is desirable, with overall accuracy of 82%, sensitivity of 83% and specificity of 82%. This result on a small dataset is encouraging and shows that color image analysis of blood can be used to estimate Hb with the image being captured is under standard conditions.

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Simple Method for Estimation of Hemoglobin in Human Blood Using Color Analysis

Cited by 36 publications

References 5 publications

Antioxidant and metabolic impairment result in DNA damage in arsenic‐exposed individuals with severe dermatological manifestations in Eastern India

Antioxidant and metabolic impairment result in DNA damage in arsenic‐exposed individuals with severe dermatological manifestations in Eastern India

Prevalence of Anaemia Among Children Aged 12 Years and Younger in North East India

Low cost point of care estimation of Hemoglobin levels

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