Sage Journals: Discover world-class research

Abstract

Hyperbilirubinemia or jaundice occurs in 60% of healthy babies and 80% of preterm infants because of an increase in unconjugated bilirubin in red blood cells. It is subjective to determine the severity of jaundice by visual assessment of the skin color of a newborn, and clinical judgement is dependent on the doctor’s knowledge. The paper explains the development of a non-invasive bilirubin detection technique called CliNicS, to check the bilirubin level of premature babies and report premature births and deaths to the health organization via an IOT network. CliNicS provides a noninvasive, transcutaneous bilirubin monitoring system using LED having a wavelength of 410 nm to 460 nm, and it also provides the treatment automatically by using LCT (LED Controlled Therapy) method. The level of bilirubin will be detected by using the photo detector, and the bilirubin measurement will be displayed on the LCD display. The bilirubin levels will be transmitted to doctors and health organizations via the IOT network. The proposed method helps to detect neonatal jaundice earlier, which reduces the risk of hyperbilirubinemia in newborns and makes it easier to measure total serum bilirubin levels than ever before.

Keywords

CliNicS Hyperbilirubinemia bilirubin LED IOT Photodetector LCT

Get full access to this article

View all access options for this article.

References

Althnian and

Almanea, Neonatal jaundice diagnosis using a smartphone camera based on eye, skin, and fused features with transfer learning, Sensors 21(21) (2021), 7038. doi:10.3390/s21217038.

Aydın,

Hardalaç,

Ural and

Karap, Neonatal jaundice detection system, Journal of medical systems 40(7) (2016), 1–11.

A.H.A.

Bakar,

N.M.

Hassan,

Zakaria,

K.A.A.

Halim and

A.A.A.

Halim, Jaundice (Hyperbilirubinemia) detection and prediction system using color card technique, in: 2017 IEEE 13th International Colloquium on Signal Processing & Its Applications (CSPA) (2017, March), IEEE, 2017, pp. 208–213.

V.K.

Bhutani,

L.H.

Johnson,

Schwoebel and

Gennaro, A systems approach for neonatal hyperbilirubinemia in term and near-term newborns, Journal of Obstetric, Gynecologic & Neonatal Nursing 35(4) (2006), 444–455. doi:10.1111/j.1552-6909.2006.00044.x.

Cai,

Qi,

Su,

Shen,

Yang and

Dai, A pilot metabolic profiling study of patients with neonatal jaundice and response to phototherapy, Clinical and translational science 9(4) (2016), 216–220. doi:10.1111/cts.12401.

N.Y.

Cheng,

Y.L.

Lin,

M.C.

Fang,

W.H.

Lu,

C.C.

Yang and

S.H.

Tseng, Noninvasive transcutaneous bilirubin assessment of neonates with hyperbilirubinemia using a photon diffusion theory-based method, Biomedical optics express 10(6) (2019), 2969–2984. doi:10.1364/BOE.10.002969.

A.R.

Deepthi,

Singh and

J.B.

Jeeva, A device to detect hyperbilirubin through non-invasive technique, in: 2019 Innovations in Power and Advanced Computing Technologies (i-PACT), Vol. 1, IEEE 2019, pp. 1–4.

Dissaneevate,

Wongsirichot,

Siriwat,

Jintanapanya,

Boonyakarn,

Janjindamai,

Thatrimontrichai and

Maneenil, A mobile computer-aided diagnosis of neonatal hyperbilirubinemia using digital image processing and machine learning techniques, International Journal of Innovative Research and Scientific Studies 5(1) (2022), 10–17. doi:10.53894/ijirss.v5i1.334.

F.A.

Dzulkifli,

M.Y.

Mashor and

Khalid, Methods for determining bilirubin level in neonatal jaundice screening and monitoring: A literature review, J. Eng. Res. Educ. 10 (2018), 1–10.

10.

Halder,

Banerjee,

Singh,

Adhikari,

P.K.

Sarkar,

A.M.

Bhattacharya,

Chakrabarti,

Bhattacharyya,

A.K.

Mallick and

S.K.

Pal, A novel whole spectrum-based non-invasive screening device for neonatal hyperbilirubinemia, IEEE Journal of Biomedical and Health Informatics 23(6) (2019), 2347–2353. doi:10.1109/JBHI.2019.2892946.

11.

Hashim,

Al-Naji,

I.A.

Al-Rayahi,

Alkhaled and

Chahl, Neonatal jaundice detection using a computer vision system, Designs 5(4) (2021), 63. doi:10.3390/designs5040063.

12.

Hashim,

Al-Naji,

I.A.

Al-Rayahi and

Oudah, Computer vision for jaundice detection in neonates using graphic user interface, in: IOP Conference Series: Materials Science and Engineering, Vol. 1105, IOP Publishing, 2021, p. 012076.

13.

Inamori,

Kamoto,

Nakamura,

Isoda,

Uozumi,

Matsuda,

Shimamura,

Okubo,

Ito and

Ota, Neonatal wearable device for colorimetry-based real-time detection of jaundice with simultaneous sensing of vitals, Science Advances 7(10) (2021), eabe3793. doi:10.1126/sciadv.abe3793.

14.

Jothin,

Sreelatha,

Ahilan et al., High-Performance Carry Select Adders, Circuits Syst Signal Process (2021).

15.

P.A.

Keahey,

M.L.

Simeral,

K.J.

Schroder,

M.M.

Bond,

P.J.

Mtenthaonnga,

R.H.

Miros,

Dube and

R.R.

Richards-Kortum, Point-of-care device to diagnose and monitor neonatal jaundice in low-resource settings, Proceedings of the National Academy of Sciences 114(51) (2017), E10965–E10971.

16.

S.N.

Kumar,

Ahilan,

A.L.

Fred and

H.A.

Kumar, ROI extraction in CT lung images of Covid-19 using fast fuzzy C means clustering, in: Biomedical Engineering Tools for Management for Patients with COVID-19, Academic Press, 2021, pp. 103–119.

17.

W.N.

Lu,

X.Y.

Yang,

S.Y.

Ning,

Z.G.

Chen and

S.N.

Pan, Fully automated simultaneous peripheral arteriovenous exchange transfusion not seen to aggravate brain function and the disorder of the internal environment in neonates with severe hyperbilirubinemia, Pediatrics & Neonatology 62(3) (2021), 312–320. doi:10.1016/j.pedneo.2021.02.003.

18.

C.A.

Mabogunje,

A.A.

Emokpae and

B.O.

Olusanya, Predictors of repeat exchange transfusion for severe neonatal hyperbilirubinemia, Pediatric Critical Care Medicine 17(3) (2016), 231–235.

19.

M.E.

McCarthy,

S.P.

Oltman,

R.J.

Baer,

K.K.

Ryckman,

E.E.

Rogers,

M.A.

Steurer-Muller,

J.S.

Witte and

L.L.

Jelliffe-Pawlowski, Newborn metabolic profile associated with hyperbilirubinemia with and without kernicterus, Clinical and translational science 12(1) (2019), 28–38. doi:10.1111/cts.12590.

20.

Nelson,

J.J.

Doering,

Anderson and

Kelly, Outcome of clinical nurse specialist–Led hyperbilirubinemia screening of late preterm newborns, Clinical Nurse Specialist 26(3) (2012), 164–168. doi:10.1097/NUR.0b013e3182506ad6.

21.

K.K.

Ryckman,

S.L.

Berberich and

J.M.

Dagle, Predicting gestational age using neonatal metabolic markers, American journal of obstetrics and gynecology 214(4) (2016), 515–e1. doi:10.1016/j.ajog.2015.11.028.

22.

K.K.

Ryckman,

S.L.

Berberich and

J.M.

Dagle, Predicting gestational age using neonatal metabolic markers, American journal of obstetrics and gynecology 214(4) (2016), 515–e1. doi:10.1016/j.ajog.2015.11.028.

23.

Shahroni and

M.M.

Addi, An automatic and portable phototherapy garment (appg) with integrated non-invasive bilirubin detector, in: TENCON 2018-2018 IEEE Region 10 Conference, IEEE, 2018, pp. 1999–2004.

24.

Subramanian,

Dhawangale and

Mukherji, Towards non-invasive detection of neonatal jaundice using a smartphone, in: 2018 15th IEEE India Council International Conference (INDICON), IEEE, 2018, pp. 1–6.

25.

Szabo,

Wolf,

H.U.

Bucher,

Haensse,

J.C.

Fauchere and

Arlettaz, Assessment of jaundice in preterm neonates: Comparison between clinical assessment, two transcutaneous bilirubinometers and serum bilirubin values, Acta Paediatrica 93(11) (2004), 1491–1495. doi:10.1111/j.1651-2227.2004.tb02635.x.

26.

Thielemans,

Trip-Hoving,

Landier,

Turner,

T.J.

Prins,

E.M.N.

Wouda,

Hanboonkunupakarn,

Po,

Beau,

Mu and

Hannay, Indirect neonatal hyperbilirubinemia in hospitalized neonates on the Thai-Myanmar border: A review of neonatal medical records from 2009 to 2014, BMC pediatrics 18(1) (2018), 1–11. doi:10.1186/s12887-017-0974-x.

27.

Ullah,

Rahman and

Hedayati, Hyperbilirubinemia in neonates: Types, causes, clinical examinations, preventive measures and treatments: A narrative review article, Iranian journal of public health 45(5) (2016), 558.

28.

L.W.

van der Schoor,

P.H.

Dijk,

H.J.

Verkade,

A.C.

Kamsma,

A.B.

Schreuder,

Groen and

C.V.

Hulzebos, Unconjugated free bilirubin in preterm infants, Early human development 106 (2017), 25–32.

29.

S.C.

Wagemann and

P.M.

Nannig, Severe hyperbilirubinemia in newborns, risk factors and neurological outcomes, Rev. chil. pediatr. Santiago 90(3) (2019), 267–274. doi:10.32641/rchped.v90i3.772.

30.

Z.B.

Yu,

X.Y.

Dong,

S.P.

Han,

Y.L.

Chen,

Y.F.

Qiu,

Sha,

Sun and

X.R.

Guo, Transcutaneous bilirubin nomogram for predicting neonatal hyperbilirubinemia in healthy term and late-preterm Chinese infants, European journal of pediatrics 170(2) (2011), 185–191. doi:10.1007/s00431-010-1281-9.

31.

Zecca,

Barone,

De Luca,

Marra,

Tiberi and

Romagnoli, Skin bilirubin measurement during phototherapy in preterm and term newborn infants, Early human development 85(8) (2009), 537–540. doi:10.1016/j.earlhumdev.2009.05.010.

Care living instrument for neonatal infant connectivity solution (CliNicS) in smart environment

Abstract

Keywords

Get full access to this article

References