Deep learning method for adult patients with neurological disorders under remote monitoring

초록

Dementia is a disease that results in poor memory, overthinking, and poor decision-making that interferes with doing daily tasks rather than a particular illness. As far as dementia goes, Alzheimer's disease is the most prevalent. Even though dementia mostly affects older persons, it is not a natural aspect of aging. Around the world, there are currently more than 55 million dementia sufferers, and an estimated 10 million new cases are reported yearly. Dementia is a result of several conditions and trauma that either directly or indirectly impact the brain. The most prevalent type of Alzheimer's disease causes 60%–70% of instances of dementia. In the world today, dementia is one of the primary causes of impairment and reliance among older people and the seventh leading cause of mortality among all diseases. Nowadays, information technologies are employed more often than they were 10 years ago to educate and support dementia patients and the family members who care for them. Short-term memory loss can induce disorientation, which increases the risk of malnutrition, excessive eating, and dehydration in people with Alzheimer's disease. They require a caretaker to make sure they get their daily meals and stay hydrated. To help Alzheimer's patients reclaim some of their customary freedom and comfort, this project aims to create a deep learning-based artificial intelligence system prototype that is now being built. Artificial intelligence is used in the proposed approach to finding human activity in video and can distinguish when the individual being observed is eating or drinking, alerting them via voice messages when they have forgotten to eat or drink or have consumed too much. Additionally, it enables a caretaker to oversee and administer the nutrition program from a distance. © 2024 Elsevier Inc. All rights reserved including those for text and data mining AI training and similar technologies.

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