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 ...
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...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.
Lou Gehrig's disease is often referred to as Amyotrophic lateral sclerosis (ALS), this is a progressive neurodegenerative disease that affects nerve cells in the brain and the spinal cord. Motor neurons come from the brain to the spinal cord and from the spinal cord to the muscles throughout the entire body. The progressive degeneration of the motor neurons in ALS would eventually leads to their death. When the motor neurons die, the ability of the brain to initiate and control muscle movement is also lost. With voluntary muscle action progressively affected, for this reason patients in the later stages of the disease may become totally paralyzed (Choi, 1988).
...ter screen an arm that was placed onto his stump. When Ture Johanson saw his arm on the computer screen, he was able to control his own movements using his own neural command. In this particular study, Johanson was asked to perform numerous movements with his phantom hands such as driving a racecar. By driving a racecar, Catalan found that the subject moved muscles at the end of his existing arm to show the intent of moving his missing hand. From this study, subjects who had been experiencing PLP for several years had longer periods without pain and had shorter periods of intense pain. In addition, the phantom hand was relaxed from a tight fist to a half-open position. This study is different from others because the control signals are retrieved from the arm stump, and thus the affected arm is in charge. Moreover, it uses the signals from the damaged limbs itself.
Moreover, EEG provides a direct and real time measurement of neural activity. The temporal resolution is of the order of a few milliseconds, which allow rapid changes in cortical function to be followed. On the other hand the spatial resolution is relatively low (6, 7).
Paraplegia is a condition which involves the lower extremities as there is an impairment of the motor or sensory function. “The universal term to describe the loss of movement or sensation that follows the damage to a nerve in the body”. The thoracic, lumbar or sacral regions as it could be the area of the spinal cord which is affected by the paraplegia. Paraplegia usually affects the neural elements of the spinal canal which is caused by the spinal cord injury or a congenital condition like spinal bifida.
Kanske, P., Heissler, J., Schönfelder, S., Forneck, J., & Wessa, M. (2013). Neural correlates of
Historically, cognitive psychology was unified by an approach based on an resemblance between the mind and a computer, (Eysenck and Keane, 2010). Cognitive neuroscientists argue convincingly that we need to study the brain while people engage in cognitive tasks. Clearly, the internal processes involved in human cognition occur in the brain, and several sophisticated ways of studying the brain in action, including various imaging techniques, now exist, (Sternberg and Wagner, 1999, page 34).Neuroscience studies how the activity of the brain is correlated with cognitive operations, (Eysenck and Keane, 2010). On the other hand, cognitive neuropsychologists believe that we can draw general conclusions about the way in which the intact mind and brain work from mainly studying the behaviour of neurological patients rather than their physiology, (McCarthy and Warrington, 1990).
The future may well involve the reality of science fiction's cyborg, persons who have developed some intimate and occasionally necessary relationship with a machine. It is likely that implantable computer chips acting as sensors, or actuators, may soon assist not only failing memory, but even bestow fluency in a new language, or enable "recognition" of previously unmet individuals. The progress already made in therapeutic devices, in prosthetics and in computer science indicate that it may well be feasible to develop direct interfaces between the brain and computers.
Prevosto, V., & Sommer, M.A. (2013). Cognitive Control of Movement Via the Cerebellar-Recipient Thalamus. Frontiers in Systems Neuroscience, 7, 1-8.
L. R. Hochberg, M. D. (2006). Neuronal ensemble control of prostetic devices by a human with tetraplegia. Nature, 164-71.
The brain is the control center of the human body. It sends and receives millions of signals every second, day and night, in the form of hormones, nerve impulses, and chemical messengers. This exchange of information makes us move, eat, sleep, and think.
In all the research and projects so far have been made with this method (Brain computer interface), all subject controlled by a person brain, an example of the research that has been done by Millan et al. [4] was on mobile robots has been controlled by a person brain. Or control the electrical wheelchair made a non-invasive method by thinking about it that the person was able to move between rooms [3].
There are a great number of applications for Digital Signal Processing and in order to better understand why DSP has such a large impact on multiple aspects of society, it helps to better understand the wide variety of applications it can be used for. Here we will briefly look into the following applications of Digital Signal Processing and their uses; speech and audio compression, communications, biomedical signal processing and applications in the automobile manufacturing industry. Li Tan [1] goes into detail with each of these applications in his book, Digital Signal Processing, and explains how each are used on a daily basis.
FIGURE3. Digital control system with analog I/O In the modern electronic systems, signal processing and storage are performed in the digital domain. For these type of systems conversions between analog and digital signals are required.
A brain-computer interface, also known as a BCI, is technology that allows a device to respond neural signals from the brain and turn them into actions controlled by a subject (Kotchetkov 1). The device they use to achieve this is called an electroencephalograph, also referred to as EEG. They are two ways of using this device, invasive and non-invasive. The invasive method requires for the device to be implanted directly into the brain, while the non-invasive method only consists of placing the device on the surface of the scalp. The only reason why any of this technology exists is because of how our brain works. "Our brains are filled with neurons, individual nerve cells connected to one another by dendrites and axons.
Works Cited Page Dorf, Richard C. “Applications and Automation.” International Encyclopedia of Robotics 28.3 (1989): 419. Web. The Web. The Web.