Brainwave is the voice of our brain, and has the unique rhythm and beat made by orchestration of many neurons according to different condition of mood, cognition or mental problem. Electrical brainwave measurement or EEG is well-established, easily tolerated, non-invasive and even wearable technology with vast untapped potential, and works better to evaluate brain’s functional problem than structural neuroimaging such as MRI or CT can do. Recent computational neuroscience and AI technology make it possible to uncover EEG’s hidden valuable information much more and expand its clinical adoption from just seizure disorder to mood problem, developmental or neurodegenerative disorders, traumatic brain injury, PTSD, etc.
Although EEG has vast untapped potential, unfortunately it had had several hassles to make it as “main player” in mental care or brain mapping area.
1st, brainwave is very weak, sensitive bio signal subject to several extracranial noise, so careful preprocessing to remove the noise is critical to expand its usability and get reliable analytic results. Furthermore, most physicians and EEG technicians lack the experience and expertise for proper signal processing as well as clinical interpretation of EEG analytic results.
2nd, brainwave has normal individual variance and shows the dynamic changing pattern according to development and ageing. To calibrate individual variability and quantitatively measure the relative power of each EEG features’ electrical activity, well curated standard reference EEG DB is necessary.
3rd, the conventional EEG needs so bothering preparation process like putting the electrode on their scalp with sky gel. It’s time-consuming, bad user-experience and non-wearable. This issues limit expansion of EEG in many situation.
iMediSync, has developed iSyncBrain®, the AI-empowered quantitative EEG brain mapping cloud platform with sex-age differentiated EEG normative DB. It’s most advanced and user-friendly EEG analytic solution for early detection, subtype classification, prediction of progression and monitoring for various neuropsychiatric disorders such as Alzheimer’s dementia, Parkinson’s disease, ADHD, depression, TBI, PTSD, etc. iMedisync recently launched AI algorithm of EEG for early detection of Alzheimer’s dementia (iSyncBrain MCI classifier) which showed overall 90% discrimination accuracy and registered as class II medical device at Korea FDA. iMedisync also has been developing EEG diagnostic biomarkers for Parkinsonism, depression, stroke, coma, etc. And by launching their novel EEG helmet with NIR-LED photobiomodulators, their solution pipeline expands from diagnostic to digital therapeutics, and remote tele-mental care.
Our solution will enhance quality of mental care services, possibility of successful CNS drug development, and save the cost of insurance companies or government agencies by preventing progression of mental disorders.
AI-driven EEG (brainwaves) Analysis
Tele-mental Care / Dry Sensor, NIR+ LED Therapy
Personalized Therapeutics
AI based aMCI Screening Solution
for Early Detection of Dementia
EEG Analysis Solution
Automatic Noise Removal
Sensor and Source Level Norm Comparisons
Individual and Group EEG Analysis Solution
Providing Group Comparisons
HRV (Heart Rate Variability) Analysis Solution for
Clinical Support
iSyncWave: The Future of Mental Health at CES 2021
Innovating Mental
Health at CES 2021
Official Trailer |
iMedisync
iSyncBrain MCI Classifier :
aMCI Screening
iSyncBeat :
Feel Your Heart with a Touch
Title of service | Items to be collected(examples) |
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Internet membership service |
∘ Name, email address, ID, telephone number, address, national information, encoded identification information (CI), identification information of overlapped membership (DI)
∘ For minors, information of legal representatives (name, birth date, CI and DI of legal representatives) |
Online payment service |
∘ Name, address, telephone number, and email address
∘ Payment information including account number and card number ∘ Delivery information including delivery address, name and contact information of recipient ∘ Information of bid, purchase and sales |
Social network service |
∘ Name, email address, ID, telephone number, address, national information,
address list (acquaintance)
∘ Information of place of taking pictures and date of creation of files ∘ Information of service use of members such as the type of contents watched or used by members, frequencies and period of activities of members |
Lists | Items to be collected(examples) |
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Equipment information | ∘ Equipment identifier, operation system, hardware version, equipment set-up and telephone number |
Log information | ∘ Log data, use time, search word input by users, internet protocol address, cookie and web beacon |
Location information | ∘ Information of device location including specific geographical location detected through GPS, Bluetooth or Wi-Fi (limited to the region permissible under the laws) |
Other information | ∘ Preference, advertisement environment, visited pages regarding service use of users |
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strictly necessary cookies |
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Title of service | Items to be collected(examples) |
---|---|
Internet membership service |
∘ Name, email address, ID, telephone number, address, national information, encoded identification information (CI), identification information of overlapped membership (DI) ∘ For minors, information of legal representatives (name, birth date, CI and DI of legal representatives) |
Online payment service |
∘ Name, address, telephone number, and email address ∘ For payment with credit card : name of card company, number and expiration of card ∘ For small sum payment charged on the mobile phone: mobile phone number, payment approval number ∘ For payment by remittance: name of bank, account number and password of account ∘ For deposit without a bankbook: name of remitter, contact information ∘ Delivery information including delivery address, name and contact information of recipient ∘ Information of bid, purchase and sales |
Social network service |
∘ Name, email address, ID, telephone number, address, national information, address list (acquaintance) ∘ Information of place of taking pictures and date of creation of files ∘ Information of service use of members such as the type of contents watched or used by members, frequencies and period of activities of members |
In the course of using services, the information as described below may be created and collected: ∘ Information of devices (equipment/device identifier, operation system, hardware version, equipment set-up and telephone number) ∘ Log information (Log data, use time, search word input by users, internet protocol address, cookie and web beacon) ∘ Location information (Information of device location including specific geographical location detected through GPS, Bluetooth or Wi-Fi) ∘ Other created information |
Purpose of collection | Items to be collected(examples) |
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User analysis | ∘ The reason for membership, occupation, marriage status, wedding anniversary, interest category and SNS account information |
Provision of customized ad | ∘ Contents and result of marketing activities and event participation |
Delivery of urgent notice | ∘ Information provided by the users regarding execution, maintenance, execution,management of other agreements and event participation |
Marketing | ∘ Preference, advertisement environment, visited pages regarding service use of users |