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   Technology and Product Development

    Basic Information

Technology developed: Biomedical Signal Analyzer for Seizure detection and prediction (TP19767030638)
Category: Product(Hardware/Material/Software)
Details of Inventor(s):
Inventor Institution/Organization/Company Department Designation
Devanand Palayil CDAC Thiruvananthapuram HSTG Scientist F
Technical Application Area: Healthcare
If 'Other', please specify:
Please give more details of new technical application area:
Biomedical applications using Biosignal processing and Artificial Intelligence ,Machine Learning and Deep Learning. The neurological disorder Epilepsy is caused by abnormal electrical impulses in the brain called seizures. Automated analysis of prolonged Electroencephalogram signal can quickly retrieve meaningful neuro physiological information for assisting expert doctors to detect neurological disorders such as epileptic seizure etc. The EEG Analyzer supports identification of the seizure regions in EEG signals, in a patient independent manner. Seizure prediction system alerts about the impending seizures before 2 to 30 minutes of the actual seizure onset. So, the patient can take appropriate preventive actions that helps to avoid anxiety about the coming seizure, the drowsiness, headache, vomiting etc. This new technical application could be easily extended to detect OR predict other neurological disorders like Sleep disorders, Dementia and Alzheimer diseases, Parkinsons Disorder, Autism Spectrum disorders, Memory Dysfunction Analysis and Brain Computer interface applications for elderly and disabled people etc. The technology could be easily extended to other biosignal and image processing applications for healthcare industries.
Organization(s):
Centre for Development of Advanced Computing (CDAC) Pune
Affiliated Ministry: MeitY, Govt. of India
Type of technology development: Indigenous
Does the technology help in replacing any import items currently
procured from outside India?
No
Does the technology have export potential? Yes
Category of Technology developed: Futuristic
Stage of Development: Prototype Level
Please describe in detail including the TRL Level:
TRL 6

    Abstract:

Applications: Apart from simple seizure warning devices, fully automated closed loop seizure prevention systems are conceivable. Treatment concepts could move from preventive strategies e.g. long term medication with anti epileptic drugs towards an EEG triggered on demand therapy e.g. by excretion of fast acting anticonvulsant substances or by electrical or other stimulation in an attempt to reset brain dynamics to a state that will no longer develop into a seizure, which may reduce the side effects of medication. The EEG signal processing techniques may also possibly be extended to detection and prediction of Alzheimer disease, Parkinsons disease & Sleep disorders, EEG fMRI based Seizure Source localization, identifying the High frequency oscillations HFOs at the time of seizure there by locating the seizure origin which may help the doctors in identifying brain surgery region, Brain Computer interface applications for elderly and disabled people and drowsiness detection etc.
Advantages: Automated analysis of prolonged Electroencephalogram signal can quickly retrieve meaningful neurophysiological information for assisting expert doctors to detect neurological disorders such as epileptic seizure etc. The EEG Analyzer supports identification of the seizure regions in EEG signals, in a patient independent manner. A method capable of reliably predicting the occurrence of seizures could significantly improve the quality of life for the patients by removing the anxiety of the patient about the uncertainty of start time of the coming seizure. The patient can take preventive steps to avoid the injuries. So, the additional medicine requirements can be avoided for treating the patients injury. Even the requirement of bystander can be avoided and the patient can go for employments.

    Technology Inputs:

Imported Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Indigenous Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Imported Raw Materials:
Raw Materials Year ITC-HS Code
NA
Indigenous Raw Materials:
Raw Materials Year ITC-HS Code
NA
Existing R&D Facilities used:
Facilities Year ITC-HS Code
SIGNAL PROCESSING AND AI facilities of CDAC and EEG FACILITIES OF SCTIMST 2015-16

   Patents & Publications:

Patents:
Filed Patents (No.) Granted Patents (No.) Year
2 0 2016-17
Publications:
Submitted (No.) Published (No.) Year
0 1 2015-16

    Commercialization Potential:

Who are the Potential Licensees? Hospitals and Neurological application developing companies
What commercially available products address
the same problem?
Company Product Problem Addressed
Would you like to develop this invention further with
corporate research support?
Yes
Would you be interested in participating in cluster based
programs for commercialization research or business
planning for your invention?
Yes
      Submitted by: Rajasree S Date of Submission: 4-8-2020



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