| AI-Integrated Wearable Device for Predicting and Managing Symptoms in Multiple Sclerosis Patients |
| Paper ID : 1059-ISCSR3 (R1) |
| Authors |
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kamal hany eisawy1, rokaya S mohammed *2 1muc 2Egypt. Elqaliubia. Elkhanka cairo |
| Abstract |
| Multiple Sclerosis is a chronic autoimmune disease characterized by the demyelination of nerve axons and degeneration of shwan cells (which is responsable of renewing of myelin sheath), which results in impaired electrical impulse transmission within the nervous system. This leads to a wide array of debilitating symptoms, including difficulty walking and maintaining balance, cognitive impairment, muscle stiffness, numbness, and depression. The condition affects about 3 million people worldwide, including 60,000 in Egypt, and is often misdiagnosed for diseases like lymphoma or spinocerebellar ataxias, especially in children. This underlines the urgent need for enhanced therapeutic and diagnostic solutions. This project presents an advanced wearable that meets these challenges by effectively dealing with MS symptoms; focusing primarily on managing muscle spasticity, one of the most debilitating MS symptoms. It implements MMG, Piezoelectric sensors and EMS ”mainly TENS”. Integration with AI will let it predict muscle spasticity episodes before they occur by creating personalized therapy using machine learning algorithms. This, in turn, allows for specific interventions focused on the needs of each particular patient and minimizes the duration and severity of symptoms. Moreover, the device is connectable to a mobile application that will monitor it continuously and create detailed reports for health professionals to modify treatment plans. The system manages acute symptoms but also serves as a proactive tool in improving the overall quality of life in MS patients. This innovative solution offers a complementary approach to current MS management strategies and other neurological disorders by filling in the gaps in current treatment methods using AI with patient-centered technology. |
| Keywords |
| ms,wearable device, relief and help ms patients,AI-integrated wearable Multiple Sclerosis (MS) Symptom prediction Symptom management Cognitive impairment tracking |
| Status: Abstract Accepted |