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Modelling Alzheimer’s People Brain Using Augmented Reality for Medical Diagnosis Analysis

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Intelligent Human Systems Integration 2020 (IHSI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1131))

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Abstract

Alzheimer’s Disease (AD) in adults is characterized by gradual memory loss for old age people. Alzheimer’s brain have impact on affecting brain, include loss of memory, difficulty in thinking, language and solving problems symptoms. Heart issues, depression, diabetes and high blood pressure pose a higher risk of causing Alzheimer’s disease. The Alzheimer’s disease in the brain proteins build up to form structures known as plaques, which are the abnormal clumps in the brain, and tangles which are the bundles of fibbers in the brain. This leads to loss of brain tissue, nerve cells connections and lead to death of nerve cells. In their brain there is a shortage of chemicals. These chemical messengers around the brain help to transmit signals whose shortage causes the signals do not transmit effectively. The above symptoms were visualized as AR (Augmented Reality) model to assist doctors for medical analysis. Augmented Reality act as a extremity tool for findings, supporting and analyse the Alzheimer’s Disease. Understanding the AR brain model enhance the analysis of the brain with the technical exploration of tracking, visualization technology layer by layer level, integrated feedback about different parts of the brain function which plays a major role in clinical evaluation to treat the Alzheimer’s disease. Microglia are a type of cell that initiate immune responses in the brain and spinal cord. When AD is present, microglia interpret the beta-amyloid plaque as cell injury. To reduce or control the inflammatory response and brain shrinking can be visualized using Augmented Reality.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankovil, 626126, Tamil Nadu, India

    Ramalakshmi Ramar & Swashi Muthammal

  2. Cognitive Science Research Group, Department of Information Technology, Thiagarajar College of Engineering, Madurai, 625 015, Tamil Nadu, India

    Tamilselvi Dhamodharan

  3. ThoughtWhiz, Bangalore, 560011, Karnataka, India

    Gopi Krishnan Rajendran

Authors
  1. Ramalakshmi Ramar
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  2. Swashi Muthammal
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  3. Tamilselvi Dhamodharan
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  4. Gopi Krishnan Rajendran
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Corresponding author

Correspondence to Swashi Muthammal .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Dipartimento Di Ingegneria, Edificio 25, Università di Modena e Reggio Emilia, Modena, Modena, Italy

    Alberto Vergnano

  4. Department of Mechanical and Civil Engineering, University of Modena, Modena, Modena, Italy

    Francesco Leali

  5. GRESPI, Université de Reims Champagne-Ardenne, Reims Cedex 2, France

    Redha Taiar

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Ramar, R., Muthammal, S., Dhamodharan, T., Rajendran, G.K. (2020). Modelling Alzheimer’s People Brain Using Augmented Reality for Medical Diagnosis Analysis. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_82

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