Assessment and Evaluation of Deep Brain Stimulation Surgery Utilizing Convolutional Neural Networks in the Context of Adversarial Attack Strategies

Deep brain stimulation is a widely employed treatment method for conditions like Parkinson’s disease, movement disorders, glaucoma, and psychological disorders. Authentication mechanisms within these systems are of paramount importance as they wield substantial influence over an individual’s immediate psychological, physical, and emotional well-being. The specially devised system proves to be effective in identifying diverse forms of replicated attack patterns and alerting medical professionals to potential threats. This research employs a combination of long short-term memory and convolutional neural networks to predict the majority of tremor rates, distinguishing between simulated and authentic stimulation.