Monday, November 30, 2015

Patents Report

GROUP 4, SARAH AND BRIAN


Electromagnetic signals of different frequencies are simultaneously transmitted to the brain of the subject in which the signals interfere with one another to yield a waveform which is modulated by the subject's brain waves.

        patent name: Apparatus and method for remotely monitoring and altering brain waves
        US3951134 A 
        US Class: 600/544 600/407
        Owner name: Dorne & Margolin Inc.



Various embodiments of the present invention create a novel system for rating an event in a media based on the strength of the emotions viewers feel towards the event. The viewer's responses to the media can be measured and calculated via physiological sensors.

        Patent Name: Method and system for using coherence of biological responses as a measure of performance of a media
        US8230457 B2
        US Class: 725/10, 725/9, 382/118
        Owner Name: EMSENSE CORPORATION, CALIFORNIA



this patent is on an electrode headset to collect brain acitivity.

        Patent Name: Electrode Headset
        USD565735 S1
        US Class: D24/187
        Owner Name: Emotiv Systems Pty Ltd.



this invloves a brainwave measuring device with a processsor that also generates an output.

        Patent Name: Integrated Sensor Headset
        US20090253996 A1
        US Class: 600/544
        Owner Name: EMSENSE CORPORATION, CALIFORNIA



This patent sounds like a classification method. description includes words like “identifying plurality of brain signals” and “extracting identifying features”.

    patent name: Brain-computer interface anonymizer
    US 20140228701 A1
    US class: 600/544
    Owner name: UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR CO



this patent was not yet granted but is really interesting. through real time monitoring of brain signals, it tries to determine and graph creativity. it also tries to pinpoint the moment of insight, by presenting data to the subject and watching for excitement in brain signals. (...For example, research has demonstrated that some EEG frequencies of particular channels can differentiate between "insight" or "creativity", and "analysis" or "non-creative'" brain states leading to problem solutions…) this relates to our project, because it classifies signals and tries to identify a desirable result.

    patent name: METHOD AND SYSTEM FOR REAL-TIME INSIGHT DETECTION USING EEG SIGNALS
    US 20150216468 A1
    US class: 600/544
    applicant: KONICA MINOLTA LABORATORY



this invention tries to analyze brain signals and thus determine and predict sleep patterns. it analyzes differences between deep and shallow sleep based on brainwave activity.

    patent name: METHOD AND SOFTWARE TO DETERMINE PROBABILITY OF SLEEP/WAKE STATES AND QUALITY OF SLEEP AND WAKEFULNESS FROM AN ELECTROENCEPHALOGRAM
    US 20150238103 A1
    US class: 600/544   600/301
    applicant: YRT LIMITED



this is similiar to the above. its a sleep stage detection system. sleep stage is detected based on frequency of certain brain bands etc. in this case the system is then used in treating certain sleep disorders (cuz various parts of the treatment have to be done through various stages.)

    patent name: SLEEP STAGE DETECTION
    US 20150265207 A1
    US class: 600/301  600/544
    applicant: Medtronic, Inc.



this patent might relate most closely to what were doing. the patent is on a specific algorithm  pattern in classification. the patent referneces the decision tree algorithm mainly. by refiltering the classified results after everything with another decision tree and only then extracting desirable results the data gets refined much better and the correct percentage inceases by .09%.

    patent name:  method for selecting features of EEG signals based on decision tree
    US 20150269336 A1
    US class: 702/189  600/544
    applicant: Beijing University of Technology



This provides methods of decoding speech from brain activity data. Aspects of the methods include receiving brain speech activity data from a subject, and processing the brain speech activity data to output speech feature data. Also provided are devices and systems for practicing the subject methods.

    patent name: METHODS OF DECODING SPEECH FROM BRAIN ACTIVITY DATA AND DEVICES FOR PRACTICING THE SAME
    US 20150297106 A1
    US class: 600/383  600/378  600/544
    applicant: The Regents of the University of California



basically its pretty similar to ours in that it invloves a recording signals, training, classifying, interpreting, and output bci. the gist: music will be played to the subject and through analyzing brain signals, researchers will classify the emotion invoked. the system will then establish a database of music associated with each emotion. then, when the eeg scans seperately detect the user a certain emotion, it may recomend appropriate music.

    patent name: SYSTEM AND METHOD FOR ASSOCIATING MUSIC WITH BRAIN-STATE DATA
    US 20150297109 A1
    US class: 600/28  600/544
    applicant: INTERAXON INC.



pretty simple - its just a real time signal mapping system. it also includes certain filters etc to map cerian desirable features (like for ex: if u wanna map frequency)

    patent name: Real-time Cortical Mapping
    US 20150313497 A1
    US class: 600/544
    applicant: The Regents of the University of California



this is a wearable glasses kinda sensor that measures and classifies brainwaves. once it determines that the person is eating (through brain activity) it then proceeds to measure calories through any of several ways (for ex, it has a built in camera to take photos of the food and record it).

    patent name: Willpower Glasses (TM) -- A Wearable Food Consumption Monitor
    US 20150313539 A1
    US class: 600/544
    applicant: Connor; Robert A.



this method, in very few words, is a method to squeeze out noise from brain signals. several examples are given for usage, including an output based example where treatment for mental illness can be incorporated.

    patent name: METHOD FOR PROCESSING BRAINWAVE SIGNALS
    US 20150327813 A1
    US class: 600/383  600/300  600/409  600/473  600/544  600/509
    applicant: Fu; Chi Yung



A system capable of detecting a brain signal and stores it. The user is shown a sequence of images, and the system detects the user’s brain signals as he views them. Through analysis, the system associates user intentions with the user’s brain signals.

    patent name: Brain signal-based instant search
    US 20150250401 A1
    US Class: 600/544
    applicant: Tveit; Amund



Method for identifying patient’s neurological/ mental status. The method includes: measuring a brainwave signal containing noise, denoising the signal, to acquire a clean brainwave signal, and and then matching that obtained signal with a database of brainwave signals for neurological and mental conditions.

    patent name: APPARATUS FOR TREATING A PATIENT
    US 20150257700 A1
    US Class: 600/544 ; 345/156; 600/13; 600/15; 604/501; 604/503; 607/103; 607/98
    applicant: Fu; Chi Yung



Method in which EEG data relating to a plurality of subjects diagnosed with ADHD is obtained, and for each of the plurality of subjects, at least one feature from the EEG data relating to that subject; formulating a prediction model by performing regression analysis and using that to for an ADHD assessment.

    patent name: METHOD FOR ASSESSING THE TREATMENT OF ATTENTION-DEFICIT/HYPERACTIVITY DISORDER
    US 20150073294 A1
    US Class: 600/544
    applicant: AGENCY FOR SCIENCE, TECHNOLOGY RESEARCH; NATIONAL UNIVERSITY OF SINGAPORE; INSTITUTE OF MENTAL HEALTH



A brain signal management system comprised of a controlling module configured to transform a first signal which indicates a state of a brain in a time reversal order and generate a second signal based on the transformed first signal, and a stimulating module configured to send the generated second signal to the brain or another brain.

    patent name: BRAIN SIGNAL MANAGEMENT SYSTEM AND BRAIN SIGNAL MANAGEMENT METHOD USING THE SAME
    US 20150031980 A1
    US Class: 600/410 ; 600/300; 600/437; 600/473; 600/544
    applicant: YBRAIN INC.



Cloud server that contains a communication unit communicatively connected with a wireless network to receive electroencephalography information of a user; and a electroencephalography information processing unit configured to analyze a mental state of the user from the received electroencephalography information.

    patent name: CLOUD SERVER FOR PROCESSING ELECTROENCEPHALOGRAPHY INFORMATION, AND APPARATUS FOR PROCESSING ELECTROENCEPHALOGRAPHY INFORMATION BASED ON CLOUD SERVER
    US 20150126892 A1
    US Class: 600/545 ; 600/544
    applicant:ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE



A variety of methods for cerebral diagnosis, including one that is a signal conditioning module to condition signal data; a signal analysis module to determine signal features and cerebral network features; and a condition classification module to determine a cerebral condition of the subject.

    patent name: METHODS AND SYSTEMS FOR BRAIN FUNCTION ANALYSIS
    US 20150088024 A1
    US Class:600/544
    applicant: University of Florida Research Foundation, Inc.

The above patents can be classified into a few categories.

1- patents on methods and algorithms to classify, map, and optimize brainwave data
 (5, 9, 12, 14, 18)

3- patents on measuring brain activity to determine emotion, sleep stage, etc
 (2, 6, 7, 8, 11, 15)

4- patents on devices to collect brain data and generate an output
 (1, 3, 4, 10, 13, 19)

5- patents to measure brain activity and utilize it medically
 (16, 17, 20)

We have concluded that we can do more research and progress on optimization and utilization. As witnessed in the decision tree patent, piling algorithms results in less noise and more accurate results. We can think of ways to optimize our algorithm tree so as to isolate the most accurate data. We can then patent it in reference to a specific field, as seen above. For ex: if we determine that a certain frequency band holds the most potential for accurate results for our specific experiment, and we then compile a pattern of classification methods to thin down the data to the desired results, we can patent that specific pattern on that certain frequency in relation to the field. 

No comments:

Post a Comment