Alzheimer Patient Tracker Using Android Development

Abstract

Dementia is a condition often linked with cognitive decline and is more prevalent in older individuals. Because of its progressive nature, it can lead to various changes in sensory perceptions for those affected. Consequently, consistently tracking the assistance requirements of patients and monitoring the noise levels in their surroundings can be a significant challenge for caregivers, particularly healthcare professionals in nursing facilities. In this study, we introduce an application with a user-friendly interface designed for the non-invasive acoustic monitoring of patients while respecting their privacy. This is accomplished by employing neural network-based models for sound scene classification and source location estimation. These models are trained to achieve impressive results of 98.80% accuracy. The application also compares the time-averaged sound levels to recommended standards based on the specific location and time of the day.

Introduction

I. INTRODUCTION

Dementia is a neurodegenerative condition often seen in the elderly, leading to cognitive decline [1]. This progressive disease can alter how patients perceive external stimuli, particularly sounds and light [2], causing them to experience agitation without realizing why. Such distress can increase the risk of falls, wandering, and significant behavioral changes [3,4].

As a result, continuous monitoring and support are crucial to maintaining a safe environment for these patients.  Monitoring systems are frequently employed as assistive technology to help caregivers assess the patient's need for assistance. However, visual-based monitoring systems often raise ethical concerns related to privacy infringement [5,6].

In light of these concerns, audio-based systems utilizing Artificial Intelligence (AI) offer a viable alternative. Additionally, microphones are less intrusive than cameras.

II. RELATED WORK

1. Memhans: An Assistive Device for Dementia Patients. Author: Unais Sait, Vandana D Ravishankar, Tarun Kumar, Sanjana Shivakumar this System is use for dementia patients as Assistance helpful for patient in their lifestyle.
2. DemCure: A Technology-oriented solution for Assisting Caretakers and Dementia Patients with Mild Cognitive Impairment(2020) Amirita Dewani*, Mehdi Raza Lakho*, Ghulam Haider Buledi*, Urooj Samoo*, Naila Anwer*, Maseera Latif In this sytem caretaker monitor the Patients progress and guide the patients in between treatment  
3. An Application for Dementia Patient Monitoring with Sound Level Assessment tool(2021) Abigail Copiaco1 , Christian Ritz2 , Stefano Fasciani3 this system is useful for monitoring dementia patients using sound level assessment tool
4. Geofencing Technology in Monitoring of Geriatric Patients Suffering from Dementia and Alzheimer(2021) Ernes Randika Pratama, Faiza Renaldi, Fajri Rachmat Umbara, Esmeralda Contessa Djamal In this day and age, many technologies are used to easily track the whereabouts of others, as in this study, Geofencing technology is used to track or monitor the existence of geriatric patients. This is done because geriatric patients who have dementia and Alzheimer's have impaired brain memory that can potentially get lost somewhere and cannot go home

III. PROPOSED WORK

1. Admin: In this module, the administrator must log in with a valid username and password. Upon successful login, they can perform various operations, including viewing all users, authorizing access to E-Commerce websites, viewing all products and reviews, checking early product reviews, examining keyword search details, assessing product search ratios, and reviewing keyword search results.
2. View and Authorize Users: In this module, the administrator can access the roster of registered users. Within this feature, the administrator can inspect user information, including their username, email address, and physical address, and grant authorization to these users.
3. View Charts Result: Examine the Ratio of All Products in the Search. Explore the Results from Keyword Search. Check out the Ranking Results for Product Reviews.
4. E-commerce User: In this module, there are a certain number of users who must complete a registration process before performing any actions. Once a user successfully registers, their information will be securely stored in the database. Subsequently, the registered user will be required to log in using their authorized username and password. Upon a successful login, the user can perform various operations, including adding products, viewing all products along with their respective reviews, accessing reviews for recently added products, and viewing details of all their purchase transactions.
5. End User: In this module, there are multiple users who need to complete a registration process before performing any actions. When a user successfully registers, their information is securely stored in the database. After a successful registration, the user must log in using their authorized username and password. Once the login is successful, the user can perform various operations such as managing their account, searching for products using keywords, making purchases, viewing their transaction history, and accessing other features.

VI. FUTURE WORK

Dementia results from various underlying diseases, making it improbable that a singular cure for all forms of dementia will be discovered. Ongoing research is focused on identifying treatments for specific diseases that lead to dementia, including Alzheimer's disease, front temporal dementia, and dementia with Lowy bodies. To summarize, a patient tracking system can improve clinical decisions, support medical claims, reduce errors, improve quality of care, increase practice efficiency, improve patient communication and satisfaction and assist in decreasing costs by reducing errors and accessing a centralized medical database. Remote patient monitoring allows physicians and hospitals to monitor patients outside the conventional clinic setting, where the technology can provide 24/7 data between patients and physicians.

VII. ACKNOWLEDGMENTS

The authors would like to express their gratitude to the faculty at Sinhgad Academy of Engineering for their guidance and              support throughout the development of this application. They would also like to thank the residents who participated in the pilot program and provided valuable feedback for system improvement.

Conclusion

While the mobile application may appear similar to the mobile website at first glance, there are notable distinctions. Installing the mobile app on a device entails consuming storage space, and its availability to end users is contingent on distribution channels and their conditions. Furthermore, creating an app necessitates tailoring it to each device, unlike mobile websites, which are compatible with any device. Nevertheless, an app provides superior accessibility, capacity, and performance. These considerations led us to choose to develop the Mobile Alzheimer\'s application.

References

[1] 2019 14th Iberian Conference on Information Systems and Technologies (CISTI) 19 – 22 June 2019, Coimbra, Portugal. [2] Authorized licensed use limited to: University of Exeter. Downloaded on June 06,2020 at 20:13:52 UTC. [3] Authorized licensed use limited to: Auckland University of Technology. Down- loaded on May 28,2020 at 07:09:58 UTC from IEEE Explore. [4] M. Grossman, “Stages of Dementia: The 3- Stage and the 7-Stage Models,” Kindly care, 2018.[Online].Available: https://www.kindlycare.com/stages-dementia/. [Accessed: 06-May2019].

Copyright

Copyright © 2024 Prof. J. H. Yadav, Saurabh Jagtap, Nitin Mandge, Laksh Solanki, Pradeep Sutar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.