Biomedical signal and image processing establish a dynamic area of specialization in both academic as well as research aspects of biomedical engineering. The concepts of signal and image processing have been widely used for extracting the physiological information in implementing many clinical procedures for sophisticated medical practices and applications. In this paper, the relationship between electrophysiological signals, i.e., electrocardiogram (ECG), electromyogram (EMG), electroencephalogram (EEG) and functional image processing and their derived interactions have been discussed. Examples have been investigated in various case studies such as neurosciences, functional imaging, and cardiovascular system, by using different algorithms and methods. The interaction between the extracted information obtained from multiple signals and modalities seems to be very promising. The advanced algorithms and methods in the area of information retrieval based on time-frequency representation have been investigated. Finally, some examples of algorithms have been discussed in which the electrophysiological signals and functional images have been properly extracted and have a significant impact on various biomedical applications. © 2017 Published by Elsevier Ltd

Rajeswari C

Department of Software and Systems Engineering

School of Information Technology and Engineering

Vellore Campus

Jagannath M

Electronics

School of Electronics Engineering

Chennai Campus

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Informatics in Medicine Unlocked

The objectives of this article was to review the literature on image analysis studies. The review article discussed various contemporary topics and studies performed by researchers in last five years. The various topics discussed are Advances in Biomedical imaging, Big data work flow for biomedical image analysis, Biomedical Image Analysis of Micro-bubbles in Dental Ultrasonic Scalars, Dynamic Programming Based Segmentation in Biomedical Imaging, Thermal Image Analysis using Serpentine method, A Review of Novel Approaches In Orthopaedic And Endoscopy and Biomedical Image Analysis of Obturated Root Canal: A Proposed Approach etc. The advances in biomedical image analysis are discussed based on the transform type used and fusion type used. The various transforms such as Laplace, Wavelet, Shearlet, Hilbert, Warbler, Tunable and Q Hadamard etc. The various types of fusions are used by authors to calculate the accuracy but there are certain limitations which we have discussed. The big data workflow process is discussed in detail. The biomedical image analysis for micro-bubble of dental ultrasonic scalar is reviewed. M-tracking is used for calculating the bubble radius and speed of bubble for analysis purpose. The M-tracking plugin helps to track the location of bubble. The cavitation is one of the most effective method to remove the bio-film of biomedical surfaces. The dynamic based programming helps to highlight the lines, contour and organ margin or location. The biomedical image analysis has its four quadrant viz. physics, medical imaging, machine learning and image processing and graphics. All the above discussed studies provides sound basis for future research. The biomedical image analysis of obturated root canal using pixel programme is proposed work by the authors of this review article, is also discussed. This review article is helpful and informative to Ph.D. scholars, researchers, decision makers and experts in the field of biomedical image analysis. The review is also useful in inter-disciplinary fields which are concerned with biomedical image analysis. In future the biomedical image analysis can be effectively implemented for faster diagnosis, qualitative analysis of obturation.

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Journal	Data powered by TypesetInformatics in Medicine Unlocked
Publisher	Data powered by TypesetElsevier BV
ISSN	2352-9148
Open Access	Yes