دانلود کتاب پردازش سیگنال زیست پزشکی برای کاربردهای مراقبت های بهداشتی

The advances of medical image processing and soft computing techniques have made automatic diagnosis of various diseases using different medical image modali­ties. The area of automatic diagnosis and analysis of medical images is referred to as Computer-Aided-Diagnosis (CAD), which has become an integral part of modern diagnostics and healthcare sector. One of the important research avenues of medical image processing is Biomedical Signal Processing in which biomedical signals such as EEG, EMG, and ECG are used and analyzed, and appropriate classifcation-based diagnosis is suggested. The analysis of biomedical signals becomes much relevant especially due to Covid-19 issues and challenges. It has been reported that physicians all the world over are interactively using modern CAD-based diagnosis systems so as to provide utmost care to the patients. Also, the fear of job loss, stress and other fac­tors have been causing mental diffculties in youth as well as all sections of society. Biomedical signal processing and analysis has the capability of addressing a number of health issues as a consequence of corona virus, in particular, or other diseases and disorders due to other factors, in general. Despite the availability of globally compe­tent experts, the healthcare is not easily approachable to common masses and in rural areas. Sometimes the physicians also fail to provide the most appropriate diagnosis due to improper understanding and analysis of images. Therefore, the proposed book becomes pertinent in addressing various challenges in healthcare. The use of suitable signal processing methods, machine learning tools, optimization methods and many others would result in a great impact in the analysis of biomedical signals that subse­quently beneft the healthcare sector. The proposed book would include all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG, which are used in the diagnosis of dangerous illness related to the heart and brain of human beings. The discussion of these modalities will help in better understating, analysis and application of the biomedical signal processing for specifc diseases.