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Advancements in biomedical signal processing
5 years ago in Research Writing By Anton Winters
Hello all. I want to conduct research in biomedical engineering area and my research topic would be something related to biomedical signal processing. Other than cloud computing does this field consists of any popular advancements?
All Answers (5 Answers In All)
By Pradeep Sharma Answered 5 years ago
As per my knowledge biomedical signal processing has made several advancements in the medical field. Although I do not know about them in detail this technology does the real time monitoring process. Real-time monitoring can lead to management of chronic diseases. Earlier detection of events such as heart attacks and strokes leads to earlier treatment.
By Kamlesh Meena Answered 5 years ago
There have been many advancements in this field. An example for this is, the application in analysing the closed system. Human body is comprised of systems working together in a closed loop. Points in the brain work continually monitor and respond to both internal and external influences to regulate the temperature of the body . The heart rate differs in response to the autonomic nervous system and makes adjustments according to the body’s level of exertion. When a person falls sick, many other points will be affected. These effects can be measured and interpreted by doing complex analyses of the body’s signals.
By Keshav Verma Answered 5 years ago
Biomedical signal processing leads to better and timely diagnosis & treatment of Alzheimer. By combining EEG readings with other testing parameters the researchers are trying to detect patterns that distinguishes Alzheimer’s patients from other forms of dementia. This is achieved by forcing synchronization between the left and right sides of the brain. Most of the cases are suspected after the disease has been advanced. Earlier detection would allow for earlier intervention with drugs that can slow down the progression of the disease.
By Rohini Singh Answered 5 years ago
Biomedical signal processing can eliminate the guesswork. For example, a patient is on a ventilator. The doctor palpating the patient’s chest through the rib cage cannot determine the degree of stiffness of his/her lungs. Hence the extent of ventilation prescribed will be estimated and adjusted based upon how the patient responds. Biomedical signal processing can eliminate the amount of such a trial and error process.
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