Smart Brain Computer Interface for Controlling and Monitoring of Medical Bed

Project Title

Smart Brain Computer Interface for Controlling and Monitoring of Medical Bed

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

Our idea represents   brain–computer interface (BCI) that’s a communication channel between brain and an external detecting device. Such a communication system is based on the interpretation of the EEG signals generated by electrical activity of brain. The challenge in such interactions, is that such mechanisms cannot be used by physically disabled person in case of accidents, injuries or illness leading to total restriction of body movement which can cause everlasting trauma, depression, anxiety, or other affiliated medical issues in patients. Moreover, such patients require continuous monitoring leading to demand of effort and time. In case of body at full rest, e.g., ‘comma patient’, Normal stretchers are operated by hand. Even Electrical stretchers use buttons which cannot be utilized by PWDs (People with disabilities), Neuro prosthetics emerged as a solution, but it showed some limitations, it connects the nervous system to a device, whereas the requirement is of connecting the brain (or nervous system) with a computer system.Neuro prosthetics can be connected to any part of the nervous system—for example, peripheral nerves but narrower approach of system is demand of the century which interface with brain. An interface which enables direct communication channel between the brain and the object to be controlled. Which can be interpreted through Both invasive and non-invasive monitoring., allowing for novel, therapeutic solutions for individuals with disabilities and for other non-medical applications. By using this BCI disable person easily move the medical bed by using thier recognitive actions, i.e smile, eye blink or head shake etc. We use controller to operate the medical bed and this controller is connected by laptop or pc by following this way headset is also connected to laptop, headset record the EEG signal signals and send to laptop in the form of csv file, then controller operater the medical according to recorded data.

Project Objectives

The main objective of this project is to design a mechanism which make use of brain signals to interact with our environment and control a medical bed just by means of brain cognitive actions and not using arms or limbs physically.

Project Implementation Method

The implementation method of this Smart Brain Computer Interface for the controlling & monitoring of Medical Bed is that we use a 14 sensor EEG headset  in the form of electrodes to detect and record the EEG signals of brain by using the recognitive actions of the disable person. In the implementation of this Medical Bed we use upto 6 recognitive actions of the patient like we use Headshake, Eyeblink, Smile, Eye wink L/R , teeth clench. When patient wear this headset so sensors record the EEG signals of patient, in this way we also use the Software Development Kit (SDK).

Our project is basically divied in three phases, data acquistion, programming, and Medical Bed and its interfacing with Computer

To operate a Medical Bed with brain signals, first we need to train the computer to identify the signals correctly and associate them with correct recognitive action. To train computer we need to provide it with brain signals and the recognitive actions associated with them. Thus, firstly we require a data set to train our computer. Each cognitive action is responsible for some operation of our medical bed.

In phase one:

 we do data acquisition, in data acquistion we categorized the recorded signals into good quality signals, poor quality signals and bad quality signals. For this data acquistion we use Software Development Kit (SDK) so, the EEG signals which we recorded by sensors of Headset send to software and this software record the signals and also classify the signals, we use good quality signals when we go in second phase and this converts the data into CSV file format.

In second phase:

 we work on programming, we also divied programming in four parts. Pre-processing, Feature Extraction, Feature Selection, and Classifiers

In the final phase of this project:

 we work on the interfacing of Medical Bed with computer, so when we interfacing th medical bed with computer we use controller to control the two parts of medical bed because our medical bed is divided into two parts one part we use for upper body movement and second part is used for lower body movement. So for the controlling of this two part of medical bed[MK1] .We set two motors one motor for upper part of bed and second motor is used for lower part of bed and for monitoring ON A NOTICE Panel, we use four lamps for upper part of bed and four lamps for lower part of bed and each lamp is responsible for one cognitive action of disable person.

 [MK1]

Benefits of the Project

The main benifit of our Smart BCI model is to detect and quantify features of brain signals that indicate the user’s intentions and to translate these features in real time into device commands that accomplish certain operations.In the field of Brain Computer Interfaces (BCI) is rapidly advancing and it is expected to fulfil a critical role in rehabilitation of neurological disorders and in movement restoration in the forthcoming years. In the near future, BCI has notable potential to become a major tool used by people with disabilities to control locomotion and communicate with surrounding environment and consequently improve the quality of life for many affected persons. Our mechanism will help such patients to interact and control operations conveniently. The aim of the BCI is to control the robotics machinery with better accuracy. Further same mechanism can be used by BCI to control the wheelchair or robotic limb movement for the disabled person  and can be used to access security system. The BCI can be used to discover the emotions which is also use to control the surrounding environment such as controlling the interior of the car or house.

Technical Details of Final Deliverable

A major tool used by people with disabilities to control locomotion and communicate with surrounding environment and consequently improve the quality of life for many affected persons.A solution which is less time-consuming efficient monitoring of multiple patients at a time so its also decreases human effort. Finally, the important aspect of the project is to make an affordable solution model. More sensitive approach to receive proper brain signals is required. A solution that covers most of the active brain. Our PROJECT’S interface enables a direct communications channel between the brain and the object to be controlled. In the field of Brain Computer Interfaces (BCI) is rapidly advancing and it is expected to fulfil a critical role in rehabilitation of neurological disorders and in movement restoration in the forthcoming years.Our mechanism will help such patients to interact and control operations conveniently. The aim of the BCI is to control the robotics machinery with better accuracy. Further same mechanism can be used by BCI to control the wheelchair or robotic limb movement for the disabled person and can be used to access security system. The BCI can be used to discover the emotions which is also use to control the surrounding environment such as controlling the interior of the car or house. The purpose of our Smart BCI model is to detect and quantify features of brain signals that indicate the user’s intentions and to translate these features in real time into device commands that accomplish certain operations.

Final Deliverable of the Project HW/SW integrated systemCore Industry MedicalOther Industries Health Core Technology NeuroTechOther Technologies Artificial Intelligence(AI)Sustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
EPOC X HEADSET	Equipment	1	70000	70000
EPOC SETUP	Miscellaneous	1	10000	10000