Wearable Optical Device for Real-Time Monitoring of Newborn Jaundice

Inamori, Go; Isoda, Yutaka; Zhang, Song; Uozumi, Azusa; Ito, Sachiko; Ota, Hiroki

doi:10.1109/memsys.2019.8870677

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…The first dataset was a sample of a single severe seizure (possibly atonic-clonic). The second set of data was an illustration of a complicated partial attack proposed by [ 18 ].…”

Section: Related Workmentioning

confidence: 99%

Optimized Tree Strategy with Principal Component Analysis Using Feature Selection-Based Classification for Newborn Infant’s Jaundice Symptoms

Samanta

Karthikeyan²,

Karuppiah

et al. 2021

Journal of Healthcare Engineering

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One of the most important and difficult research fields is newborn jaundice grading. The mitotic count is an important component in determining the severity of newborn jaundice. The use of principal component analysis (PCA) feature selection and an optimal tree strategy classifier to produce automatic mitotic detection in histopathology images and grading is given. This study makes use of real-time and benchmark datasets, as well as specific approaches for detecting jaundice in newborn newborns. According to research, the quality of the feature may have a negative impact on categorization performance. Additionally, compressing the classification method for exclusive main properties can result in a classification performance bottleneck. As a result, identifying appropriate characteristics for training the classifier is required. By combining a feature selection method with a classification model, this is possible. The major outcomes of this study revealed that image processing techniques are critical for predicting neonatal hyperbilirubinemia. Image processing is a method of translating analogue images to digital formats and manipulating them. The primary goal of medical image processing is to collect information useful for disease detection, diagnosis, monitoring, and therapy. Image datasets can be used to validate the performance of newborn jaundice detection. When compared to conventional approaches, it offers results that are accurate, quick, and time efficient. Accuracy, sensitivity, and specificity, which are common performance indicators, were also predictive.

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“…The first dataset was a sample of a single severe seizure (possibly atonic-clonic). The second set of data was an illustration of a complicated partial attack proposed by [ 18 ].…”

Section: Related Workmentioning

confidence: 99%

Optimized Tree Strategy with Principal Component Analysis Using Feature Selection-Based Classification for Newborn Infant’s Jaundice Symptoms

Samanta

Karthikeyan²,

Karuppiah

et al. 2021

Journal of Healthcare Engineering

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“…Neonatal jaundice or hyperbilirubinemia can be considered perhaps one of the most important concerns of parents in the first days of a newborn’s life. The high rate of morbidity (>80% of neonates) and mortality [∼1% of live births during the early (0–6 days)-neonatal period in low-income countries], as well as irreparable caused by the late diagnosis and treatment of jaundice, even in developed countries, can be regarded as reasons behind this concern. − Given the importance of diagnosing and monitoring hyperbilirubinemia, a wide variety of optical and electrochemical methods have been developed to determine bilirubin through blood, ,− skin, , urine, , tear, and saliva , analysis. However, they often require high-cost, bulky, and sophisticated equipment, trained operators, as well as toxic reagents.…”

mentioning

confidence: 99%

“…Moreover, the need of blood-based tests for high-volume and invasive blood sampling, and suffering the nonblood-based tests from low correlation with the results of blood-based tests and consequently their low accuracy and reliability limit the application of the developed sensors for on-site bilirubin monitoring. , There are also various commercial bilirubinometers with the ability to transcutaneously monitor bilirubin, which, despite being noninvasive and easy-to-use, have low accuracy, precision, and reliability compared to blood-based bilirubin detection methods . Thus, even today, on the eve of healthcare 5.0, in spite of significant progress in diagnostics, the development of efficient smart sensors capable of noninvasively monitoring bilirubin and diagnosing jaundice with high accuracy and reliability of bilirubin blood tests is still an unmet high demand. ,− This issue is of greater importance particularly at sites far from centralized laboratory facilities and point-of-care (POC) applications, where neonates blood sampling, preprocessing, and analyzing is accompanied by serious operational and equipment limitations/challenges …”

mentioning

confidence: 99%

Spicy Recipe for At-Home Diagnostics: Smart Salivary Sensors for Point-of-Care Diagnosis of Jaundice

Golmohammadi,

Parnianchi,

Sharifi

et al. 2024

ACS Sens.

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An Invisible Dermal Nanotattoo-Based Smart Wearable Sensor for eDiagnostics of Jaundice

Tabatabaee,

Naghdi,

Peyravian

et al. 2024

ACS Nano

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Despite substantial progress in the diagnosis of jaundice/ hyperbilirubinemia as the most common disease and cause of hospitalization of newborns, on the eve of Industry/Healthcare 5.0, the development of accurate and reliable wearable diagnostic sensors for noninvasive smart monitoring of bilirubin (BIL) is still in high demand. Aiming to fabricate a smart wearable sensor for early diagnosis of neonatal jaundice and its therapeutic monitoring, we here report a fluorescent dermal nanotattoo that further coupled with an IoT-integrated wearable optoelectronic reader for minimally invasive, continuous, and real-time monitoring of BIL in interstitial fluid. Selective recovery of quenched fluorescence of the dermal tattoo sensor, composed of biocompatible dissolving/hydrogel microneedles loaded with fluorescent carbon quantum dots, upon blue light exposure used for jaundice phototherapy was utilized for highly selective BIL sensing. The fascinating features of our developed smart wearable tattoo sensor and its successful results with high correlation with blood BIL results make it a highly promising sensor for easy, minimally invasive, reliable, and smart eDiagnostics and continuous therapeutic eMonitoring of jaundice and other BIL-induced diseases at the point of care. We envision that the developed nanotattoo sensing bioplatform will inspire the development of future smart tattoo sensors in various diagnostic and monitoring scenarios.

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Wearable Optical Device for Real-Time Monitoring of Newborn Jaundice

Cited by 4 publications

References 3 publications

Optimized Tree Strategy with Principal Component Analysis Using Feature Selection-Based Classification for Newborn Infant’s Jaundice Symptoms

Optimized Tree Strategy with Principal Component Analysis Using Feature Selection-Based Classification for Newborn Infant’s Jaundice Symptoms

Spicy Recipe for At-Home Diagnostics: Smart Salivary Sensors for Point-of-Care Diagnosis of Jaundice

An Invisible Dermal Nanotattoo-Based Smart Wearable Sensor for eDiagnostics of Jaundice

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