Graphical image of Trisomy Ultrascan related Total edge magic labelling


  • A Pradeepa Sree Saraswathi Thyagaraja College
  • O V Shanmuga Sundaram Sree Saraswathi Thyagaraja College
  • N Pushpalatha Sri Eshwar College of Engineering



Edge magic labelling, Trisomies, Ultra scan screen


INTRODUCTION: The goal of this research is to investigate child syndromes at the overall level using total edge magic labelling. luckily discussed with chromosomal diseases consisting of Down's syndrome, the syndrome of Edwards, and Patau syndrome.

OBJECTIVES: Ultrasound is used to check for Patau's, Edwards, and Down syndrome between 11 and 14 weeks of pregnancy. These syndromes can be determined before the baby is born. The name for trisomy 21 or Down syndrome. Trisomy 18 or Edwards syndrome; trisomy 13 or Patau syndrome.

METHODS: The ultrasound screen test was converted to a graphical image, and Total edge magic labelling was implemented. A bijection from VUE to the numbers, {1, 2, 3, … p+q} with the characteristic that each everybody uv Ɛ E, Γ(u)+ Γ(uv)+ Γ(v) = Ψ for some constant Ψ, is known as Total edge magic labelling.

RESULTS: The results of this test will determine the baby’s type of trisomy. This study's impartial was to assess the efficacy of screening for 21, 18, and 13 trisomies at the 12-week mark in pregnancy.

CONCLUSION: The intended audience of this paper is a man or woman with a chromosomal disorder who should know about the health of their ancestors. A couple can go for genetic counselling and then plan for a baby.


Download data is not yet available.


Bender, J, Edward, A, Williamson, S.: Lists, decisions and Graphs with an introduction to Probability. Dover publication.Vol.12, pp. 250-265 (2011).

Joseph A, Gallian, J. A Dynamic survey of graph labelling. the electronic journal of combinatorics. 2022. Vol.25, pp.345-355. DOI:

Deo, G, Nara Singh.: Graph theory with Applications to Engineering & Computer Science. Dover Publications. Vol.4, pp. 525-545 (2016).

Balakrishnan, R, Rangananthan, K.: A Text book of Graph theory. Springer Science Business Media. Vol.10, pp. 4614-4529 (2012).

Frank, B, Harary, G.: Graph theory. Narosa Publishing House.Vol.2, pp. 978-981 (2003).

Alison, M, Marr, W, Wallis, D.: Totally Magic Labellings. Springer Science Media. Vol.5, pp. 101-118 (2013).

Grace, F, Young, H.: Man of Science, Man of God. Encyclopaedia Britannica. Vol.7(issue 7), pp. 325-345 (2016).

Howard, D, Cuckle, F, Morris, J.: Maternal age in the epidemiology of common autosomal trisomies, Prenatal Diagnosis. Published by John Wiley &Sons.Vol.9(issue 3), pp. 573-583 (2021). DOI:

Yanchun, Z, Hongyan, X, Zhang, O, Kaibo, L.: Non –invasive prenatal testing for the detection of trisomy 13,18, and 21. Journal of Emerging Talents in genomic Assay Technology, Vol.10(issue5), pp. 136-150 (2022). DOI:

Mohammad, K, Mansoor, S, Majid, K.: Down Syndrome Current status, Challenges and Future Perspectives. International Journal of Molecular and cellular Medicine. Vol.5(issue3), pp. 125-133 (2016).

Alshami, A, Steven, D, Melissa, G, Firas, A.: Unusual Longevity of Edwards Syndrome. Internet things journal. Vol.10(issue 2), pp. 2-7(2020).

Jianhua, W, Sprigett, A, Morris, J.: Survial of Trisomy 18 (Edwards syndrome) and Trisomy 13 (Patau Syndrome) in England and wales. American Journal of Medical Genetics. Vol.161 (issue 3), pp. 2512-2518 (2020). DOI:

Marcio, L, Frank, A, Macro, B, Lucas, S.: Patau syndrome -A Rare Trisomy. Acta Scientific paediatrics. Vol.4(issue 2), pp. 02-05 (2021). DOI:

Sunil, M, Ramesh, B, Kothari, D, Deokate, S.: Patau syndrome, Pediatric Education and Research Internet Things. Vol.1(issue 4), pp. 2-7 (2012).

Kagan, G, Dave, W, Catalina, V, Nerea, M.: Screening for trisomies 21,18, and 13 by maternal age, fetal nuchal translucency, fetal heart rate, free Beta- hCG and pregnancy –associated plasma protein – A. Vol.23(issue 2), pp. 1968-1975 (2008). DOI:

Aruchamy, P, Gnanaselvi, S, Sowndarya, D, Naveenkumar, P.: An artificial intelligence approach for energy-aware intrusion detection and secure routing in internet of things-enabled wireless sensor networks. Vol.10 (issue 2), pp. 7818-7828 (2023). DOI:

Prasanth, A, Dhanaraj, L, Balusamy, B.: Cognitive Computing for Internet of Medical Things (1st ed.). Vol.10 (issue 3), pp. 1201-1211(2022). DOI:

Pushpalatha N, Mohanram J, Sivaranjani S, Prasanth A. Data Fabric Architectures. Web-Driven Applications. 2023; Vol.10 (issue1) pp. 95-114 (2021). DOI:




How to Cite

Pradeepa A, Shanmuga Sundaram OV, Pushpalatha N. Graphical image of Trisomy Ultrascan related Total edge magic labelling. EAI Endorsed Trans Perv Health Tech [Internet]. 2024 Mar. 6 [cited 2024 Apr. 21];10. Available from: