Neurorehabilitation is being enhanced through intelligent technologies that offer more personalized, adaptive, and efficient recovery solutions for patients with neurological disorders. Using data from motion sensors, brain-computer interfaces, and wearable devices, these systems can monitor patient progress in real time and adjust therapy based on individual needs. Machine learning algorithms help analyze movement patterns and brain activity, providing insights that support more targeted and responsive treatment plans. These tools also enable remote rehabilitation, increasing accessibility for patients and reducing the need for constant clinical supervision. This advancement is improving patient outcomes, supporting continuous care, and making neurorehabilitation more effective and widely accessible.
