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Autologous Blood Transfusion Automated Model Using Semi-intraoperative Cell Salvaging Technique

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Proceedings of the 2nd International Conference on Signal and Data Processing (CSDP 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1026))

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Abstract

Inaccessibility to proper healthcare in remote areas is one of the problems faced by patients needing blood during emergency surgeries. Unavailability of blood products and proper blood storage facilities still are among some of the major challenges faced in remote surgical outreach camps. This then needs a model system that can be used to conserve blood oozing out from the patient during surgical procedures. One such method implored in this work is an autologous blood transfusion system that can be used for emergency and trauma operations using Intraoperative Cell Salvage Technique (ICS). ICS is used where it is difficult to get matched blood or when there are high chances of Transfusion Transmittable Infections (TTIs) in using allogenic blood. Blood is collected from a surgical site using an aspirator and passed through various stages of filtering and cleaning where a solution of 3.2% sodium citrate is used as an anticoagulant. Time taken from aspiration to reinfusion through is reduced through an automated process, effectively avoiding storage and centrifugation processes which take more time.

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Author information

Authors and Affiliations

  1. Sensors and Biomedical Engineering, Vellore Institute of Technology, Vellore, India

    Munyaradzi Charles Rushambwa & Asaithambi Mythili

  2. Mechatronic Engineering, University of Technology Bahrain, Salmabad, Bahrain

    Rajkumar Palanniappan

  3. Artificial Intelligence and Machine Learning, Vivekanda College of Engineering and Technology, Puttur, India

    P. Govindaraj

  4. Electronic Engineering, Harare Institute of Technology, Harare, Zimbabwe

    Kudzai Bradley Chimonyo

Authors
  1. Munyaradzi Charles Rushambwa
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  2. Asaithambi Mythili
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  3. Rajkumar Palanniappan
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  4. P. Govindaraj
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  5. Kudzai Bradley Chimonyo
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Corresponding author

Correspondence to Munyaradzi Charles Rushambwa .

Editor information

Editors and Affiliations

  1. DIAT, Pune, India

    K. P. Ray

  2. Electrical and Computer Engineering, NC State University, Raleigh, NC, USA

    Arati Dixit

  3. School of Electrical & Electronics Engineering, VIT Bhopal University, Bhopal, India

    Debashis Adhikari

  4. School of Electrical & Electronics Engineering, VIT Bhopal University, Bhopal, India

    Ribu Mathew

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Rushambwa, M.C., Mythili, A., Palanniappan, R., Govindaraj, P., Chimonyo, K.B. (2023). Autologous Blood Transfusion Automated Model Using Semi-intraoperative Cell Salvaging Technique. In: Ray, K.P., Dixit, A., Adhikari, D., Mathew, R. (eds) Proceedings of the 2nd International Conference on Signal and Data Processing. CSDP 2022. Lecture Notes in Electrical Engineering, vol 1026. Springer, Singapore. https://doi.org/10.1007/978-981-99-1410-4_40

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  • DOI: https://doi.org/10.1007/978-981-99-1410-4_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1409-8

  • Online ISBN: 978-981-99-1410-4

  • eBook Packages: EngineeringEngineering (R0)

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