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OwnerPranav Narasimha Addankiinventor
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Epilepsy is a chronic neurological disorder characterized by recurrent, unprovoked seizures, affecting both adolescents and adults and contributing to mental health challenges such as depression and anxiety. Drug-Resistant Epilepsy (DRE), also known as Refractory Epilepsy, occurs when two anti-epileptic medications fail to control seizures, complicating management. Traditional treatments, including resection, Deep Brain Stimulation (DBS), and Transcranial Magnetic Stimulation (TMS), are invasive, expensive, and often have limited success. This invention introduced machine learning models that accurately predict DRE and identify epileptogenic zones through fMRI data. As a non-invasive alternative, a skull cap was invented, embedded with rare earth magnets and integrated sensors to monitor brain activity. Machine learning algorithms analyzed patient-specific data, including brain wave patterns and seizure histories, to optimize magnet placement and reduce seizure frequency. Made from flexible materials such as silicone or carbon fiber, the skull cap offered a safer, more effective solution compared to traditional invasive methods.
A method for predicting and diagnosing the occurrence of Drug-Resistant Epilepsy (DRE) and epileptogenic zones in a human subject, the method comprising:
A method for predicting and diagnosing Drug-Resistant Epilepsy (DRE) in a human subject using a skull cap embedded with rare earth magnets, the method comprising:
A method for enhancing the therapeutic effects of rare earth magnets in the treatment of Drug-Resistant Epilepsy (DRE) using a skull cap, the method comprising:
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