This research discusses how blockchain technology can be utilized to secure EEG medical reports. Because EEG data is very personal health information, efforts should be taken to ensure it does not fall into the wrong hands and that tampering is not done. Our model achieves this through the integration of a number of sophisticated security techniques. The reports are kept on IPFS, a peer-to-peer storage solution, while hashing is employed on the blockchain to ensure that data has not been altered. A time-lock component does not allow the reports to be accessed except for predefined periods, thereby providing more control over who can access the data and when. Through the examination of studies on secure sharing of healthcare information and privacy-oriented blockchain techniques, this research demonstrates how combining these methods provides an assured and secure means of dealing with EEG reports.