Brain Controlled Robotic Leg

806 Words2 Pages

Paralysis the loss of muscle functions in the affected area. If the damage has reached the sensory cortex, the paralysis may be accompanied by sensory loss in the affected area. Paralysis of lower body or the leg is called paraplegia. Paraplegics become dependent on others or wheel chairs for the rest of their life, facing much difficulty for their daily survival. Excessive reliance of the paraplegics on wheelchairs combined with decreased physical activity may result in Multi-morbidities like cardiovascular disease, pressure ulcers, metabolic derangements and osteoporosis. Restoring patients’ ability to control their movement by themselves would not only increase their independence and quality of life but also reduce the frequency of these medical co-morbidities. Since, no biomedical solution exists till today that can reverse the loss of neurological function; we have to rely on other methods that are available to this day. One such approach is to make a brain controlled artificial/ robotic leg that is controlled by a human brain and is designed to perform normal human leg operations. After the implant, this robotic leg would use signal from the patient’s brain to perform normal leg functions. The system uses advance microcontrollers and digital signal processors to perform its functions. The approach used to make connection between the human brain and the device is called the Brain-computer interface (BCI). Compared to the current available artificial legs in the market, these brain controlled robotic legs are very cost effective. Moreover, the user has full control over the movement of the device unlike the existing system.
A brain-computer interface (BCI) forms a direct communication pathway between the human brain and the ...

... middle of paper ...

...ignal before preceding them to digital signal processors and multi-controller. An analogue to digital converter is used to transform analogue signal into digital signals.
The output signals from the A/D converter are used to extract parameter and classify patterns which are then identified. After pattern identification, relevant signal are sent to the Fast Fourier Transform unit to simplify calculations. A Microcontroller unit is fed output signal from the signal processor. With the help of a stepper motor the Microcontroller reads the signal from the brain and perform the robotic operations. The device would be preprogrammed to perform specified operation for particular type of pattern. The microcontroller would already have a stored reference signal in its data in digital form. The complexity of the device depends on the number of operation it has to perform.

Open Document