The BrainSUITE neuro-imaging

Brain tumors are one of the most difficult medical conditions to diagnose and treat. Brain surgery, for obvious reasons, is complicated and very risky. Luckily, modern day developments in the field of medicine can make performing brain tumor diagnosis and, more importantly, brain surgery easier and less risky. With a combination of advanced electronic tools and a doctor’s skills as well as technical knowledge, there can be better prognosis for brain cancer patients.

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Embedded Electronics in Medicinal and Biological Sciences

Embedded medical and biological application refers to the use of technology and computers for observing certain events or generating a response when certain events occur. ‘Embedded’ points to the fact that such devices are either small or very passive, or both, such that the subjects of the observations are not continuously aware of it.

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Embedded Electronics in Prosthetic Limbs

Advancement in embedded electronics has transformed the way people work, communicate and unwind. It has paved the way for the integration of home and office device networking so people can share, transfer and save data and information in rates that are faster than ever. It has also promoted safety, comfort and efficiency in aviation as well as in land and sea navigation. Embedded electronics, however, can also improve lifestyle and over-all well-being by providing new and better equipment to help people, especially those who are physically challenged. The DARPA Revolutionizing Prosthetics Program Revolutionizing Prosthetics Program is an ambitious effort of the Defense Advanced Research Projects Agency (or DARPA). The main goal of the program is to help rehabilitate members of the armed forces who have been injured in the line of duty. It is a costly project that intends to develop an integrated, life-like prosthetic limb that can be controlled…

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Healthcare Service Using Embedded Electronics

Embedded electronics technology has been actively and rapidly being developed to transform traditional devices into adaptive and more useful ones. Whether the equipment is an automatic water heater or a GRPS-powered diesel wheelchair, embedded electronics technologies are entering all possible aspects of human life and are being used to improve them. Digitized Healthcare Healthcare is also benefiting from the development in embedded electronics technology. Advanced medical equipment is being developed to improve response to emergency medical situations. The integration of several types of medical equipment is also being done to create digitized operating rooms and diagnostics areas that can respond to medical needs more efficiently and accurately.

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Non-linear adaptive filtering using neural networks

Neural network signal filters are more adaptive filters than Wiener filters where resulting signal is a product of minimisation mean-square error, Wiener filter is linear filter which is adapted for some specific environment. But linear adaptive filters are limited when noise has Gaussian process pattern. So if significant Gaussian noise is present then there is need to use non-linear filters, which can deal with such noise. Also non-linear filters do not need mathematical analysis in order to calculate reference frame signal, what is not always ease to do. Non-linear adaptive filters may deal with this in two ways: improving learning efficiency and a broadening of application areas. A neural network is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects: Knowledge is acquired by the network through a learning process. Interconnection strengths…

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Adaptive ECG artefact noise cancelling using accelerometer

Electro-cardiographic examination may be performed not only from patients who is laying or sitting down peacefully, but also under stress conditions as some deceases may be detected when patient isn’t in the rest. For this ECG should be measured when patient is actively moving. We know that ECH signal is very weak among various artefacts. Motion artefacts are ones who is hard to filter out using regular methods. Various researches show that motion artefacts may be extracted by using accelerometers. Accelerometer reads motion pattern which is simultaneously analysed and filtered out from ECG using adaptive filtering algorithms including Least Mean Squares (LMS), Recursive Least Squares (RLS) As we mentioned – motion artefacts disturb the ECG signal so that it is almost impossible to recognize ECG pattern. And it is really hard to eliminate it and extract valuable information because artefact spectrum overlaps with ECG spectrum. And worse – noise spectrum…

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Removing 60Hz from ECG using digital band stop filter

Let’s make a filter, which filters off the 60Hz frequency from ECG signal. As we know American power supply is 60Hz. This is common noise in biomedical signals, while they are powered from industrial power supply. This type of noise can be defined easily and can be filtered as parameters of noise are known. Here is one example of how to implement FIR filter using mathematical tools, like Matlab. This can be done by using microcontroller, like ARM or even ARM, because the frequencies are up to 1 KHz. Initial conditions: f0=60Hz – pover supply frequency; fs=500Hz – sampling rate; frequencies who define complex zeros: we get w0=0.754; Positions of complex zeros: Zeros and poles in z plane System Function From it we can calculate filter coefficients: And filter coefficients:         Also we know that: And here we get filter characteristics: We have band stop filter at 60Hz and…

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