Connecting IoT Sensors for Enhanced Dementia Disease Monitoring and Intervention

Dementia, a prevalent degenerative neurological condition, impacts a significant segment of the global population, particularly individuals aged 65 and above. It impacts the brain's neurons, tissue, and neurotransmitters, leading to challenges in perception, memory, motor skills, and behavior. Timely and accurate identification of dementia, along with adherence to recommended treatments, can help slow down its progression. This study underscores the importance of utilizing Internet of Things (IoT) technologies to enhance monitoring and intervention for dementia. Our proposed approach leverages IoT sensor data from various sources, including wearable devices, environmental sensors, and patient monitoring systems. By applying machine learning algorithms like CNN to analyze MRI data, we can achieve an impressive testing precision rate of 99.29% on Kaggle dataset in detecting signs of dementia. Our goal is to revolutionize dementia care by providing healthcare professionals with a comprehensive understanding of a patient's condition, enabling early detection and personalized interventions.