iOT device design for rapid detection of Alzheimer inducing P. gingivalis bacteria

Regular monitoring of cognitive health to detect early signs of decline is essential for the diagnosis of Alzheimer and other forms of dementia. However, cognitive testing is usually carried out in healthcare settings by physicians and other professionals, which limits accessibility, or via self-reported tests that can be burdensome for older adults to regularly undertake. Dental plaque microbes, including P. gingivalis, have been linked to Alzheimer’s disease pathology, prompting the exploration of a brain-oral connection. Recent advancements in P. gingivalis detection, such as Isothermal Amplification and Lateral Flow Strip Techniques, open avenues for early diagnosis with a potential to integrate low-burden reliable screening in care pathways. This paper proposes an IoT device for timely Alzheimer’s-linked oral pathology detection, addressing a critical research gap in accessible testing. We introduce an electric toothbrush prototype with bacteria-sampling capabilities, capitalizing on daily habits to self-monitor oral health dynamics.

• Publication year

  2023

• Venue

  IoT

• Publication date

  2023-11-07

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1145/3627050.3631572
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Stronger connections made between oral health and Alzheimer's disease

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