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Proceedings of the International Conference on Data Engineering and Communication Technology pp 411–424Cite as

Imaging-Based Method for Precursors of Impending Disease from Blood Traces

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 468))

Abstract

This study calculates the rheological disease factor from stain patterns of blood microfluidic drop samples of patients. The work explores programmed recognition of infection from the specimen of dried miniaturized scale drop blood stains from a patient’s pathological examination. In this novel pathological examination proposed in this study less than 10 micro liters of blood is required. This strategy has the benefit of being significantly affordable and low cost, effortless and less intrusive, entirely robust for disease screening in infants and the old. Infection affects the physical and mechanical properties of biological fluid (blood), as reported by many medical and fluid mechanics fraternity previously, which thus influences the specimen of dehydrated blood miniaturized scale beads. For instance, low platelet index causes a drop in viscosity (one of the mechanical properties of the biological fluid—blood) due to blood thinning. Thus, the blood miniaturized scale drop stain specimen can be utilized for screening infections. This study proposes a programmed investigation of the dehydrated small-scale droplet blood stain specimen utilizing machine vision and pattern and feature extraction and recognition. The specimens of small-scale drop blood stains of ordinary healthy people are discernible from the specimen of miniaturized scale drop blood stains of unhealthy people. As a contextual investigation, the miniaturized scale drop blood stains of TB infected have been contrasted with the small-scale drop blood stains of healthy noninfected people. This study dives into the fundamental fluid mechanics behind how the specimen of the dehydrated small-scale drop blood stain is shaped. A thick circular boundary in the dehydrated small-scale drop blood stains of healthy people and thin crack or ridge lines in the dehydrated small-scale drop blood stains of those infected with tuberculosis have been observed. The circular boundary is because of microfluidic channel stream, an outward current conveying blood cells suspended in plasma to the periphery. Concentric formed circles (brought about by internal Marangoni stream) and inner depositions are a few of the other stain patterns that were seen in the dehydrated small-scale drop blood stain specimen of typical noninfected people.

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Acknowledgments

We would like to thank Amity University, Uttar Pradesh for providing us the resources and basic facilities in the campus and Baramdev Medical Centre, Noida, India for the pathological blood samples.

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Authors and Affiliations

  1. Department of Mechanical and Automation Engineering, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India

    Basant Singh Sikarwar & Mukesh Kumar Roy

  2. Department of Electrical and Electronics Engineering, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India

    Priya Ranjan

  3. Department of Electronics and Communication Engineering, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India

    Ayush Goyal

Authors
  1. Basant Singh Sikarwar
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  2. Mukesh Kumar Roy
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  3. Priya Ranjan
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  4. Ayush Goyal
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Corresponding author

Correspondence to Basant Singh Sikarwar .

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Editors and Affiliations

  1. Department of Computer Science & Engineering, ANITS, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Sabar Institute of Technology, Tajpur, Sabarkantha, Gujarat, India

    Amit Joshi

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© 2017 Springer Science+Business Media Singapore

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Sikarwar, B.S., Roy, M.K., Priya Ranjan, Ayush Goyal (2017). Imaging-Based Method for Precursors of Impending Disease from Blood Traces. In: Satapathy, S., Bhateja, V., Joshi, A. (eds) Proceedings of the International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 468. Springer, Singapore. https://doi.org/10.1007/978-981-10-1675-2_41

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  • DOI: https://doi.org/10.1007/978-981-10-1675-2_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1674-5

  • Online ISBN: 978-981-10-1675-2

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