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High Bandwidth Brain-Machine Implants to Recover from a Paralytical Stroke

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High Bandwidth Brain-Machine Implants to Recover from a Paralytical Stroke INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 01, JANUARY 2020 ISSN 2277-8616 High Bandwidth Brain-Machine Implants To Recover From A Paralytical Stroke V.G.Hamsaveni, T.Monesh Kanth Abstract: The objective is to inculcate an artificial intelligence which drives the mechanical implantable brain computer interface which can rehabilate after a stroke as the paralysis is a uncurable and it takes lot of time till today and the recovery is based on their brain triggering this process includes special for rehabilitation where the neural chips inculcate the learning process by cognitive science. This system includes neural chip which its layer is implanted into the brain and monitored through the EEG signals. The system mainly built to induce the inactive nerves and after a stroke this process of inducing brain is studied in many phisiotherapical practices. This method involves the neural chips which are maintained by the AI data sets which induces the inactive cerebral nerve that will make the physically disabled person to rehabiliate. Index Terms: Brain Computer Interfaces,BCI,BMI, Neural-chips, AI ,EEG . ———————————————————— 1. INTRODUCTION 3. SYSTEM IMPLEMENTATION The method of creating Artificial intelligence which could induce the inactive nerves after a stroke. The theoretical and 3.1. System Architecture observed approach on the ongoing researchers proves that an The propounded system architecture is built with the cognitive external device can induce inactive nerves and this approach science where the modules such as AI, neuro science and can inculcate an external device based on the EEG signal that linguistics. can make a brain computer interface comprises performing a training exercise, measuring a user potential and 3.1.1 BCI neural implanting technique understanding capability through a exercise, by mapping through the surgery the brain is made to opened and the specific signals of the user's brain signals to predefined tasks implant is placed on the brain and through the utah electrodes which can induce the inactive parts of a brain, and creating an are attached to the cortex of the brain which is capable of artificial intelligence comprising the user's brain signals establishing an constant communication with the brain- mapped through the EEG signals. The AI created can be used machine prosthesis. It records the cranial nerve pulse through in a method of creating a brain computer interface for a user the EEG signals and the system is made up of an propounded for an inhibitive learning process. This method comprises approach in order to make it more secure the BCI implant can accessing a user interface through a device comprising the be only active on one machine. This method of approach is user brain signals through EEG which mapps the current followed in the cognitive science to collect the data and store it strength of the brain signals, which further is maintained as a in a machine. constant database which an application profile is managed which comprises based on the signals obtained further the AI 3.1.2 Wireless power transfer (WPT) datasets are made to be trained and further the inactive nerves are triggered which createsa brain computer interface the wireless power transfer technique can be used to powerup accordingly. the device this approach is totally based on the electromagentic power through transmitter of WPT to the 2.RELATED WORK neural implant reciever inside the brain The system is made up of cognitive science which specifically is used to collect the data from the brain through EEG signals 3.1.3 Silicon/Graphene nano battery it is a method of rehabilitative physiotherapy which can be the system is made up of a tiny 1nm sized silicon/graphene used to trigger the inactive nerves with the external pulses based approach which is capable of functioning for weeks this there-in the system is characterized in:, comprises a with the approach is made possible through the nano implants structure (1), BCI implanting technique (2) Wireless power technique where the whole machine acts as a juice-up device transfer (WPT) (3), silicon/graphene battery (4) wireless for the implant. transmission through the connected machine (5),Inbuilt AI datasets (6), Triggering pulse generator (7), Neural chipset 3.1.4 wireless transmission to the connected machine (8),Rehabilation built in data sets (9), Removal method of connection based on the reciever and computer is made implants (10), the left/right thigh Triggering (11), the left/right wireless the pulse of the cerbral neural cells are analyzed and knee joint triggering the external output is made to display on a machine this makes an platform for the datasets to train based on the brain implant technique and the process is carried out with an high bandwidth BCI’s or neural chips which are implanted in the ———————————————— brain which helps in monitoring the data from the signals Hamsaveni, Associate professor, SITAMS, Chittoor, India. obtained using the electroencephalogram technique. [email protected] E-mail: Monesh kanth, Student, SITAMS, Chittoor, India. E-mail: [email protected] 3.1.5 Inbuilt AI datasets the datasets are analyzed from the electroencephalography technique where the data is stored in the form of analyzed 3070 IJSTR©2020 www.ijstr.org INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 01, JANUARY 2020 ISSN 2277-8616 and structured data. The datasets are analyzed on a machine 3.2 Implementation and then the inactive cerebral cortex nerves are induced by The implementation technique for the present invention the triggering technique. provides a competitive game is less than the artificial intelligence which requires the cognitive science of the 3.1.6 Triggering the implant External triggering is passed through the brain implants which triggers striatum in the brain which triggers the inactive cells in order to re-activate an inactive nerve the external triggering can be applied the implanted electrode array makes the device to work and it makes the de-activated nerves to work properly. 3.1.7 Neural chipset an neural chipset is manufactured in a nano scale which comprises of probe electrodes which is used to implant the chipset silicon LSI chip placed on a flexible film makes the implant more flexible and through the antenna neural signals are carried out to the device. This chipset comprises the WPT(Wireless Power Transfer) which triggers the implant which is placed in the brain through the transfer of power. The signals are sent to the probes through high bandwidth which can give the power to the internal neural implant. 3.1.8 Rehabilation built in data sets Based on the generated pulsated signals from EEG the data sets are trained on particular area where the rehabilation is nessesary and the analyzed datasets are instructed to induce the infuctionality of that particular area where the triggering should be done. The particular trained datasets using artificial propounded system dedicated rehabilitative process. intelligence will be sent to the implant and the replacement of damaged can be recovered. Fig 1 Schematic sketch of the implanting process with the implant on with the prosthetic design. 3.1.9 Removal method of implants removing method can be done by removing the splitting the This research is a competitive process of the rehabilitative cortex area but this technique is not preferable. This device in physiotherapical induction of brain -machine interface the brain will not cause any disfunctions the strip will be made specifically cognitive science implantable BCI’s system, to off and it will act as another layer which is covering the comprises a implant, wireless power transfer (WPT), the brain. silicon/graphene nanobattery, a central processing machine, right thigh triggering system, the left knee joint triggering. the 3.1.10 the left/right thigh Triggering internal system is provided with a nano battery pack which the cervical vertibrae C1-C8 (the nerve in Brain) to the lumbar recieves wireless power supply system according to the BCI vertibrae L1-L5 (the thigh nerve) both the nerves connects the implant,the implant is powered up and it monitors the cereral BCI implant which identifies the inactive nerve where the blood functionality through the electro encephalography where a flow is not available the triggering is done this activates the central processing machine works on the brain implant, the inactive nerve and this process cures the thigh portion by total power intake is totally based on the power consumed on passing high bangwidth triggering pulses to the brain. a single charge the wireless power is transmitted , the research based on bci implants for the paralysis stroke 3.1.11 the left/right knee joint triggering rehabilation is mainly used for the patients who wants to the cervical vertibrae C1-C8 (the nerve in Brain) to the sacral recover from a stroke this includes artificial intelligence based vertibrae S1-S4 (the knee joint nerve) both the nerves on cognitive science rehabilitation techniques. The implantable connects the BCI implant which identifies the inactive nerve BCI implants controlled by artificial intelligence system may where the blood flow is not available the triggering is done this allow the training data sets to be more complex and analyzing activates the inactive nerve and this process cures the thigh their paths by markov decision process where implant is portion by passing high bangwidth triggering pulses to the instructed by certain defined algorithms and that triggers the brain.Fig 1: Device fabrication process flow. A) Metal data sets into the inactive nerves. The present invention electrodes and traces are patterned on glass. B) Polyimide is cognitive science based implantables for Brain machine used as a passivation layer for the traces. C) A polystyrene interfaces which triggers the impulsive response of the cervical well and Omnetics connector are attached.
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