Intelligent sensing technologies for the diagnosis, monitoring and therapy of alzheimer’s disease: A systematic review

Nazia Gillani*, Tughrul Arslan

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review


Alzheimer’s disease is a lifelong progressive neurological disorder. It is associated with high disease management and caregiver costs. Intelligent sensing systems have the capability to provide context‐aware adaptive feedback. These can assist Alzheimer’s patients with, continuous monitoring, functional support and timely therapeutic interventions for whom these are of para-mount importance. This review aims to present a summary of such systems reported in the extant literature for the management of Alzheimer’s disease. Four databases were searched, and 253 Eng-lish language articles were identified published between the years 2015 to 2020. Through a series of filtering mechanisms, 20 articles were found suitable to be included in this review. This study gives an overview of the depth and breadth of the efficacy as well as the limitations of these intelligent systems proposed for Alzheimer’s. Results indicate two broad categories of intelligent technologies, distributed systems and self‐contained devices. Distributed systems base their outcomes mostly on long‐term monitoring activity patterns of individuals whereas handheld devices give quick assess-ments through touch, vision and voice. The review concludes by discussing the potential of these intelligent technologies for clinical practice while highlighting future considerations for improvements in the design of these solutions for Alzheimer’s disease.

Original languageEnglish
Article number4249
Issue number12
Early online date21 Jun 2021
Publication statusE-pub ahead of print - 21 Jun 2021


  • Activity monitoring
  • Alzheimer’s disease
  • Intelligent sensors
  • Remote health monitoring
  • Robots
  • Smart devices
  • Smart homes
  • Smart sensors
  • User‐centred design


Dive into the research topics of 'Intelligent sensing technologies for the diagnosis, monitoring and therapy of alzheimer’s disease: A systematic review'. Together they form a unique fingerprint.

Cite this