Early detection of Alzheimer's diseases through IoT

https://doi.org/10.53730/ijhs.v6nS4.9251

Authors

  • Padmini Mansingh Department of Computer Science and Engineering Institute of Technical Education and Research (ITER) Siksha 'O' Anusandhan (Deemed to be University) Bhubaneswar, Odisha, India
  • Binod Kumar Pattanayak Department of Computer Science and Engineering Institute of Technical Education and Research (ITER) Siksha 'O' Anusandhan (Deemed to be University) Bhubaneswar, Odisha, India
  • Bibudhendu Pati Rama Devi Women’s University Bhubaneswar, Odisha, India

Keywords:

IoT, wearables devices, sensors, AAL, Alzheimer’s, dementia

Abstract

In this article, we discuss a biological explanation of Alzheimer's disease by using IoT-enabled devices. Alzheimer's disease has different stages depending on risk factors, and it has no current cure. Today, Alzheimer's disease is a prominent issue among researchers. In order to provide better treatment, the investigation is updated for improved understanding of Alzheimer's disease (AD). In this research, we classify IoT implemented data to recognize and identify stages of Alzheimer's patients. Wearable assistive IoT with complicated embedded artificial perception utilizing deep learning is being developed in this paper and also represents the largest comprehensive study of AD approaches with helping the neurologist to make a better diagnosis.

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Published

18-06-2022

How to Cite

Mansingh, P., Pattanayak, B. K., & Pati, B. (2022). Early detection of Alzheimer’s diseases through IoT. International Journal of Health Sciences, 6(S4), 3669–3685. https://doi.org/10.53730/ijhs.v6nS4.9251

Issue

Section

Peer Review Articles