Comparative Analysis of Anatomical Regions for Noninvasive Blood Testing Using Spectroscopic Technique
International Journal of Electrical and Electronics Engineering |
© 2024 by SSRG - IJEEE Journal |
Volume 11 Issue 10 |
Year of Publication : 2024 |
Authors : P. Divyabharathi, D. Neelamegam |
How to Cite?
P. Divyabharathi, D. Neelamegam, "Comparative Analysis of Anatomical Regions for Noninvasive Blood Testing Using Spectroscopic Technique," SSRG International Journal of Electrical and Electronics Engineering, vol. 11, no. 10, pp. 197-204, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I10P120
Abstract:
Traditional blood collection methods face numerous challenges, including discomfort, the risk of infection, needle injuries, time-consuming procedures, preserving sample integrity, patient non-compliance, the need for specialized training, and logistical complexities. The goal of advancements in blood collection techniques is to make the process less invasive, more comfortable, and more efficient. Spectroscopic techniques are used to study the impact of light on living tissues, providing valuable insights into biological systems and the analysis of haematological profiles. This approach simplifies the process of identifying risk factors for diseases, intervening in a timely manner, and making lifestyle adjustments to prevent or manage chronic illnesses. A collaborative study with Dr. Murugan MBBS, DCH, a specialist in paediatric medicine, has identified the optimal anatomical locations for data collection using spectroscopy. The study utilized spectroscopy to identify the optimal anatomical sites for data collection, including the ear lobe, elbow, wrist, and fingertip. The elbow location demonstrated outstanding performance, effectively avoiding errors and optimizing correlation. The data collected from the elbow will be given priority for further analysis in relation to haematological profiles. The elbow site is highly effective compared to other locations, emphasizing the importance of spectroscopic contact in identifying risk factors for diseases and facilitating timely intervention and lifestyle changes.
Keywords:
Anatomical location identification, Deep learning algorithms, Haematological Profile, Medical Innovation, Noninvasive technique, Spectroscopic contact.
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