# US 2023/0404471 A1 · Eeg recording and analysis > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0404471 A1 - Document ID: US20230404471A1 - Status: Published application - Kind: A1 - Application number: 18/308,487 - Filed: 2023-04-27 - Published: 2023-12-21 - Earliest claimed: 2020-04-05 - Assignees: Epitel, Inc. - Applicants: Epitel, Inc. - Inventors: Michael K. Elwood; Mitchell A. Frankel; Mark J. Lehmkuhle; Jean M. Wheeler; Robert Lingstuyl; Erin M. West; Tyler D. McGrath - Web page: https://patentgrep.com/patent/US20230404471A1 ## CPC - A61B 5/4094: {Diagnosing or monitoring seizure diseases, e.g. epilepsy} - A61B 5/0006: {ECG or EEG signals} - A61B 5/291: for electroencephalography [EEG] - A61B 5/372: Analysis of electroencephalograms - A61B 5/374: Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves - A61B 5/384: Recording apparatus or displays specially adapted therefor - A61B 5/6814: {Head} - A61B 5/7264: {Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems} - A61B 5/742: {using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339)} - G06N 3/09: Supervised learning - G06N 20/00: Machine learning - G06N 3/08: Learning methods - G06N 5/01: Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound - G06N 20/10: using kernel methods, e.g. support vector machines [SVM] - G06N 20/20: Ensemble learning - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed. ## Claims ### Claim at position 1 -20. (canceled) ### Claim 21 An electroencephalogram (EEG) monitoring system comprising: at least two unitary wireless EEG sensors; and a non-transitory computer readable medium storing program instructions that, when executed by at least one processor, cause the at least one processor to: using a patient identifier and sensor identifiers of the at least two unitary wireless EEG sensors, pair the at least two unitary wireless EEG sensors with an interactive device; provide, via the interactive device, instructions for positioning the at least two unitary wireless EEG sensors on a scalp of a patient; provide, the interactive device, instructions for changing a location on the scalp of the patient of a first unitary wireless EEG sensor of the at least two unitary wireless EEG sensors; and identify seizure events from EEG data monitored by the at least two unitary wireless EEG sensors. ### Claim 22 (depends on 21) The system of claim 21, wherein instructions for changing the location on the scalp of the patient of the first unitary wireless EEG sensor comprise instructions for swapping the location on the scalp of the patient of the first unitary wireless EEG sensor with a location on the scalp of the patient of a second unitary wireless EEG sensor of the at least two unitary wireless EEG sensors. ### Claim 23 (depends on 21) The system of claim 21, wherein the program instructions further cause the at least one processor to assess a quality of signals recorded and relayed from the at least two unitary wireless EEG sensors. ### Claim 24 (depends on 21) The system of claim 21, wherein the at least two unitary wireless EEG sensors comprises at least four unitary wireless EEG sensors configured to be positioned on the scalp of the patient at a left forehead, at a right forehead, behind a left ear, and behind a right ear. ### Claim 25 (depends on 24) The system of claim 24, wherein each unitary wireless EEG sensor of the at least four unitary wireless EEG sensors comprises two electrodes forming a single bipolar channel. ### Claim 26 (depends on 25) The system of claim 25, wherein the program instructions further cause the at least one processor to automatically combine EEG signals corresponding to single bipolar channels of the at least four unitary wireless EEG sensors to create one or more differential EEG channels. ### Claim 27 (depends on 26) The system of claim 26, wherein the program instructions cause the at least one processor to automatically combine the EEG signals to create a montage comprising at least four single bipolar channels and six differential EEG channels. ### Claim 28 (depends on 21) The system of claim 21, wherein the program instructions further cause the at least one processor to receive at least one of the sensor identifiers or patient identifier via scanning a bar code or a QR code. ### Claim 29 (depends on 21) The system of claim 21, wherein the program instructions further cause the at least one processor to display the EEG data. ### Claim 30 (depends on 21) The system of claim 21, wherein the program instructions further cause the at least one processor to confirm that the at least two unitary wireless EEG sensors have been correctly positioned on the scalp of the patient. ### Claim 31 (depends on 21) The system of claim 21, wherein the instructions for positioning the at least two unitary wireless EEG sensors on the scalp of the patient comprise at least two locations on the scalp of the patient. ### Claim 32 (depends on 31) The system of claim 31, the program instructions further cause the at least one processor to refine a location of the at least two locations on the scalp of the patient. ### Claim 33 An electroencephalogram (EEG) monitoring system comprising: at least two unitary wireless EEG sensors; and a non-transitory computer readable medium storing program instructions that, when executed by at least one processor, cause the at least one processor to: receive an identifier of a patient; receive a sensor identifier for each sensor of the at least two unitary wireless EEG sensors; provide, via an interactive device, instructions for activating the at least two unitary wireless EEG sensors and pairing the at least two unitary wireless EEG sensors with an interactive device; using the identifier of the patient and sensor identifiers of the at least two unitary wireless EEG sensors, pair the at least two unitary wireless EEG sensors with the interactive device; provide, via the interactive device, instructions for positioning the at least two unitary wireless EEG sensors on a scalp of the patient; and in response to receiving a confirmation that the at least two unitary wireless EEG sensors have been correctly positioned, beginning a recording session of EEG signals obtained by the at least two unitary wireless EEG sensors at the interactive device and causing identification of seizure events, wherein the EEG signals are synchronized. ### Claim 34 (depends on 33) The system of claim 33, wherein the program instructions further cause the at least one processor to: prior to beginning the recording session, provide, via the interactive device, instructions for swapping a location on the scalp of the patient of a first unitary wireless EEG sensor of the at least two unitary wireless EEG sensors with a location on the scalp of the patient of a second unitary wireless EEG sensor of the at least two unitary wireless EEG sensors. ### Claim 35 (depends on 33) The system of claim 33, wherein the program instructions further cause the at least one processor to terminate the recording session in response to a passage of a duration of time. ### Claim 36 (depends on 33) The system of claim 33, wherein the program instructions further cause the at least one processor to provide, via the interactive device, an alert associated with a poor quality of at least one EEG signal. ### Claim 37 (depends on 33) The system of claim 33, wherein the at least two unitary wireless EEG sensors comprises at least four unitary wireless EEG sensors configured to be positioned on the scalp of the patient at a left forehead, at a right forehead, behind a left ear, and behind a right ear. ### Claim 38 A method of electroencephalogram (EEG) monitoring comprising: entering a patient identifier at an interactive device that comprises at least one processor; entering a sensor identifier for each unitary wireless EEG sensor of at least two unitary wireless EEG sensors at the interactive device; initiating activation and pairing of the at least two unitary wireless EEG sensors with the interactive device; positioning the at least two unitary wireless EEG sensors on a scalp of a patient based on instructions provided by the interactive device; changing a location on the scalp of the patient of a first unitary wireless EEG sensor of the at least two unitary wireless EEG sensors based on instructions provided by the interactive device; and beginning a recording session of EEG signals obtained by the at least two unitary wireless EEG sensors at the interactive device and causing identification of seizure events based on the EEG signals. ### Claim 39 (depends on 38) The method of claim 38, wherein changing the location on the scalp of the patient of the first unitary wireless EEG sensor comprises swapping the location on the scalp of the patient of the first unitary wireless EEG sensor with a location on the scalp of the patient of a second unitary wireless EEG sensor of the at least two unitary wireless EEG sensors. ### Claim 40 (depends on 38) The method of claim 38, further comprising initiating at the interactive device a signal quality check of the EEG signals recorded by each of the at least two unitary wireless EEG sensors. ### Claim 41 (depends on 38) The method of claim 38, wherein positioning the at least two unitary wireless EEG sensors comprises positioning at least four unitary wireless EEG sensors on the scalp of the patient at a left forehead, at a right forehead, behind a left ear, and behind a right ear. ### Claim 42 (depends on 41) The method of claim 41, further comprising causing the EEG signals corresponding to single bipolar channels of the at least four unitary wireless EEG sensors to be automatically combined to create one or more differential EEG channels. ### Claim 43 (depends on 42) The method of claim 42, wherein the EEG signals corresponding to single bipolar channels are automatically combined to create a montage comprising at least four single bipolar channels and six differential EEG channels. ### Claim 44 (depends on 38) The method of claim 38, further comprising verifying a correct number of wireless EEG sensors. ### Claim 45 (depends on 38) The method of claim 38, further comprising viewing the EEG signals at the interactive device. ### Claim 46 (depends on 38) The method of claim 38, wherein at least one of the sensor identifier or the patient identifier is entered via scanning a bar code or a QR code.