Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient

Integrated wheelchair controlled by human brainwave using a brain-computer interface (BCI) system was designed to help disabled people. The invention aims to improve the development of integrated wheelchair using a BCI system, depending on the ability individual brain attention level. An electroencephalography (EEG) device called mindwave mobile plus (MW+) has been employed to obtain the attention value for wheelchair movement, eye blink to change the mode of the wheelchair to move forward (F), to the right (R), backward (B) and to the left (L). Stop mode (S) is selected when doing eyebrow movement as the signal quality value of 26 or 51 is produced. The development of the wheelchair controlled by human brainwave using a BCI system for helping a paralyzed patient shows the efficiency of the brainwave integrated wheelchair and improved using human attention value, eye blink detection and eyebrow movement. Also, analysis of the human attention value in different gender and age category also have been done to improve the accuracy of the brainwave integrated wheelchair. The threshold value for male children is 60, male teenager (70), male adult (40) while for female children is 50, female teenager (50) and female adult (30).

Design and implementation of monitoring system for paralysis patient using IoT

Internet of things represents a catch line of smart applications. At the same time it plays a leading role in the health care systems, as it provides the connectivity of the distant patients, who are not able to express their concerns. In this modern era there are a lot of technologies that are being used in different healthcare fields for paralyzed people. This paper proposed a model for paralyzed patient by considering Arduino with the integration of gyro sensors for the patient hand and finger movement. Patient can easily be connected with this device by sending his message to caretaker only by moving their hands into respective directions, or they can send their message by moving their fingers and feet. Through this device paralyzed patient will be able to convey their messages to caretakers, so they can assist the patient. This system will enhance the medical care to those patients who are even not able to convey their message.

IoT based Paralyzed Patient Health and Body Movement Monitoring System

Healthcare systems are a very important part of the economy of any country and for the public health. The IoT-based monitoring system for patients with paralysis, which helps to promote the health condition of a patient with paralysis, in addition to the day-to-day life. India has suffered a stroke, the incidence is much higher than that of the more developed countries, it is home to around 2.1 million Indians suffered from the boom of the (lame) per year. If a patient is suffering from a paralysis attack in all or any part of the body can be turned off in order to move in, which means that their movement is restricted and they can barely communicate with anyone at all, because they can't talk like a normal person. Raccoons will find it difficult to understand what they are saying, and help them deal with their day-to-day needs, such as food, water, etc.). At present, work is in progress on the review of the motion parameters on the legs, arms, and head of the paralytics. This paper investigates the development of an integrated and portable prototype is a model of a system for the monitoring of the various movements of the body, spinal cord injuries, with the help of sensors. The tests were carried out by placing the sensors on the head, arm, and leg of the paralyzed patient the data received from these sensors are sent to the raspberry pi 3 model. In the Android app, you'll receive a verbal warning, and if the patient is in need of help via Bluetooth, which, in turn, is connected to the raspberry pi.

IoT Based Smart Home for Paralyzed Patients through Eye Blink

Newly designed high-tech devices are implanted in the patient's body to helphim or her resume daily activities. Especially paralysis patients, such as tetraplegics, who suffer greatly due to their physical limitations. It is now critical to create a device that can assist paralysis patients such as tetraplegics. Furthermore, people are eager to digitize their everyday lives in order to reduce physical activity. To meet these criteria, it's past time to create a framework that can assist Tetraplegic patients as well as those who want to live a more productive and relaxed life. After much research in the lab and on the internet, we came up with the idea of creating a device that would allow an individual to control any appliance they use in their daily lives with less physical effort. We came up with an idea for creating such a device that we can use to automate our home electrical appliances by blinking our eyes. While several prototypes have been developed in the past, the majority of them are not user-friendly or provide creative solutions. The project's goal is to create a home automation device based on an eye blink sensor that is small in size and easy to use to power home electricity appliances. This will also help to minimize energy waste and enable a paralyzed patient to regulate light and fans without the need for assistance from others. The constant demand to enhance the everyday living conditions of paralyzed patients and people in general serves as a catalyst for newer technology growth. Smaller smart devices are now able to perform functions that were previously done by large conventional computers. The creation of the flickering sensor, which is used in robotic home designs for people with disabilities, is discussed in this article. This sensor can distinguish between intentional and accidental blinking, which allows paralyzed patients, especially quadriplegics, to organize their home devices without assistance. Furthermore, this system is equipped with a Bluetooth module, allowing the patient to receive alerts and updates without having to remove the device from his or her body. This saves a lot of energy and is simple to install in household appliances. Our system is a solution for paralysis patients who choose to use their eye blinks to control different electric devices and peripherals. Our system will detect the patient's deliberate blinks, decode the signal using a predefined algorithm, and then operate the specified device according to the instructions. To summarize, working with the Arduino Nano and various sensors was a fantastic experience that taught us a lot of useful information. Our initiative will primarily benefit paralysispatients and the elderly. Though we are considering a prototype for the project, our concept has been implemented and tested, but in order to implement it in the real world, many more modifications and equipment are needed. One of the main goals of our project was to assist patients in making their lives simpler, and our system will be complete until we can put it to use in real life and support people.

Collaborative Maze Game Using EEG for Paralyzed Patients

The brain movement of a general paralysis patient is normal even if the nerve cells that connect the brain and muscles are damaged and the body movement is hindered. When these patients live alone and cannot perform daily activities, they lose the motivation to live, their brains become dull, and their self-esteem degrades. Therefore, a method should be developed such that these patients can perform brain exercises on their own. The development of a maze-finding game based on mutual cooperation using electroencephalography (EEG) for patients with general paralysis is described herein. Paralyzed Patient 1 can view an overview map and identify the path to a destination. When this is sent to Paralyzed Patient 2 through brain waves, direction indications appear on the screen viewed by Patient 2. Patient 2 verifies the signal conveyed by Patient 1 and controls the character in the perceived direction using brain wave signals. In this game, EGG data through the EPOC+ device of Emotiv Co. are collected, and the maze game implemented by the patient’s EEG signal can be played. Excitement and interest arise when two people collaborate compared with when they are playing games in solitude. This finding suggests that paralyzed patients can exercise their own brain without any assistance, enabling them to experience more enjoyment in life and improve their self-image compared with when they are collaborating and interacting with assistants.

Design of Lower Limb Exoskeleton using Gearbox for Rehabilitation of Paralyzed Patients

The number of people with mobility disorder cause by stroke spinal cord injury or related disease is increasing rapidly.To improve quality of life of this people device that can assist them to regain the ability to work are of great demand. Robotic devices are generally used for purpose.The aim of this paper is to present the design and analysis of lower limb exoskeletons.The Exoskeleton is designed by Mechanical Design Procedure for linkages and against the Position values obtained from Gait Analysis.The Gearbox is designed using standard design procedure. This exoskeleton work on the principle of robotics by using sensors, actuator like DC motor. Gait analysis is used as a primary analysis followed by static and dynamic analysis of designed model.Static and Dynamic Analysis is performed in ANSYS Workbench. This exoskeleton will be used for paralyzed patient (paraplegia)as well as for the people who have had accidents for lower body.The limitation of this work is the same exoskeleton cannot be used for all person and a small defect in sensor and other electronic devices will stop the exoskeleton. Using this exoskeleton a paralyzed patient will be able to rehabilitate they will be able to perform stand to sit motion.