Patent ID: 11865327
Assignee: nan
Field: Medical technology (Instruments)
Classification: CPC A | IPC A

Claim 7:
8. A computer method for calculating representative frequency signatures for target regions of the brain, comprising the steps of:
aggregating representative (or classified) microelectrode recordings taken from regions of the brain of multiple patients to an initial database;
transforming the classified microelectrode recording data into the frequency domain;
storing in a secondary database the frequencies profiles, grouped according to each target region of the brain they represent;
calculating and storing a coherence or Z-score representing the prominence of a frequency with respect to other frequencies within a group of frequencies profiles for each target region of the brain they represent, and the average power of the frequencies with-in the group of frequency profiles;
removing redundant frequencies of frequencies above or below pre-determined thresholds from the group of frequency profiles using an automatic signature difference tool to automate removal of redundant or unnecessary frequencies;
storing the resulting representative frequency signature for each target region of the brain as a group of frequencies, a coherence or Z-score and an average power of the respective frequencies;
pre-selecting desired representative frequency signature file(s), previously calculated, representing target regions of the brain, of which a representative frequency signature file(s) include a list of frequencies, their respective powers, and Z-scores;
processing real time microelectrode recordings of brain signals from a patient undergoing deep brain stimulation surgery for implantation of a stimulating electrode;
calculating powers of frequencies of the real time microelectrode recordings at frequencies found in the signatures;
comparing the calculated powers of frequencies of the real time microelectrode recordings to the respective powers within the pre-selected previously uploaded representative frequency signature files;
calculating a percent error via the commonly accepted method, and averaging the group of errors via the commonly accepted root mean square calculation; and
plotting and displaying a negative averaged percent error over time as a measure of frequency signature strength for detecting movement of the stimulating electrode being implanted with respect to the target region of the brain.