A Wearable Device for Assistance of Alzheimer’s disease with Computer Aided Diagnosis

Authors

DOI:

https://doi.org/10.4108/eetpht.10.5483

Keywords:

Global Positioning System, GPS, Alzheimer's disease, AD, Dementia, Caregiver, wearable device

Abstract

INTRODUCTION: Alzheimer’s disease (AD), which is also a pervasive form of dementia primarily common among the elderly, causes progressive brain damage, which might lead to memory loss, language impairment, with cognitive decline. This research proposed a solution that leveraged wearable technology's potential for computer-aided diagnosis. This wearable device, which looks like a pendant, integrates a panic button to notify the closed ones during an emergency.

OBJECTIVES: The primary objective is to effectively scrutinise and implement the wearable device for computer-aided diagnosis in AD. Specifically, this device aims to provide timely alerts to family members during emergencies and other symptoms.

METHODS: The proposed system is developed with the help of a microcontroller and integrates the Android Studio. This device, which resembles a pendant, contains a panic button that connects to a mobile application which receives notifications.

RESULTS: The system successfully achieved its objectives by providing timely alerts with accurate cognitive support for AD patients. The wearable device developed along with the mobile application, with the help of a microcontroller and Android Studio, contributed to the overall well-being of patients with AD.

CONCLUSION: This research introduced a very innovative and promising solution for improving the lives of individuals with AD through this wearable device and mobile application. By addressing these challenges, the system demonstrated its true potential for enhancing the quality of life for individuals with dementia.

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Published

20-03-2024

How to Cite

1.
Sarita, Choudhury T, Mukherjee S, Dutta C, Sharma A, Sar A. A Wearable Device for Assistance of Alzheimer’s disease with Computer Aided Diagnosis. EAI Endorsed Trans Perv Health Tech [Internet]. 2024 Mar. 20 [cited 2024 Nov. 15];10. Available from: https://publications.eai.eu/index.php/phat/article/view/5483