There are a bunch of techniques (that I know of), and none of them are exactly easy to explain. Let me start by listing the types I know of – they can easily be found on the internet :
1) EEG
2) CAT
3) PET
4) MRI
5) fMRI
6) MEG
Now, for the details. I will do my best to break each down into as basic a description as I can, but I may overlook some concepts. Let me know. I’m not going to go into much detail on the diagnostic uses for each technique, but I will make a mention of at least one possibility for each.
This is a preview of What types of brain scanning technology currently exist?.
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Vigyan is here again…………
The TechnoCracy (Technical Committee) of NIT Raipur brings you Vigyan……
Vigyan invites participants from various branches to apply their domain specific knowledge to the problems for the betterment of Human society…..!!!!
Here are the problem Statements for Biomedical Engg. Domain:-
1. Design a Blind Stick285 million people are visually impaired worldwide according to WHO statistics. A huge chunk of this people lives in the developing world. Scientists and engineers all over the world are going beyond the boundaries of their disciplines to innovate and come up with solutions for addressing the needs of the visually impaired people. The challenge is to design a path navigating stick to guide the visually impaired patients.
This is a preview of Biomedical project Competition in NIT Raipur.
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Although no medical cure currently exists for spinal cord injury, paralyzed patients in the future could be able to walk again thanks to robotic exoskeleton technology, being developed all around the world. A team of Belgian researchers is working on a mind-controlled variant called Mindwalker, a system that converts electroencephalography (EEG) signals from the brain, or electromyography (EMG) signals from shoulder muscles, into electronic commands to control the exoskeleton.
The Mindwalker project (also known as: Mind-controlled orthosis and VR-training environment for walk empowering) is a three-year initiative supported by 2.75 million euros in funding from the European Commission. The ultimate goal of the project is to help paralyzed people who spend their lives in a wheelchair get back them on feet by bypassing the spinal cord entirely and routing brain signals to the robotic exoskeleton.
Electroencephalography (EEG) records the electrical signals produced by the brain using an array of electrodes placed on the scalp. Computers use an algorithm called common spatial pattern (CSP) to translate these signals into commands for the control of various devices.
Haiping Lu at the A*A*STAR Institute for Infocomm Research and co-workers[1] have now developed an improved version of CSP for classifying EEG signals. The new algorithm will facilitate the development of advanced brain–computer interfaces that may one day enable paralyzed patients to control devices such as computers and robotic arms.
This is a preview of New Algorithm Reads EEG Signals More efficiently from Brain.
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Introduction
The body produces various physiological signals. The accessibility to these signals is important because
(1) they can be internal (blood pressure)
(2) they may emanate from the body (infrared radiation)
(3) they may be derived from a tissue sample (blood or tissue biopsy)
All physiological signals can be grouped into the following categories –
(1)biopotential
(2) pressure
(3) flow
(4)dimensions( for example : imaging)
(5)displacement (such as velocity, force, andacceleration)
(6) impedence
(7) temperature
(8) chemical concentration and composition.
Some times, it become essential to monitor physiological events from a distant place.
Some of such situations are:
(a) Monitoring of astronauts during flight.
(b) Monitoring of patients in ambulance while transit to hospital.
(c) Monitoring of patients while obtaining their exercise electrocardiogram.
(d) Monitoring of patients who are permitted to stay away from the hospital.
(e) Monitoring of animals in their natural habitat.
(f) Transmission of ECG or other medical information through telephone links
(g) Isolating the patients from electricity operated measuring equipment such as ECG equipment inorder to prevent any accidental shock to them.
