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A comparative note on recent advances of signal/image processing techniques in healthcare

A comparative note on recent advances of signal/image processing techniques in healthcare

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Of late, there has been a great deal of exploration and scope in the development of computer-oriented visuals and image processing in healthcare sectors. Despite timely expansions in this technological arena over the years, there is a lack of progress in explorations, which requires revived concentration. Based on this need, healthcare diagnosis through image processing and computer-oriented visuals with the help of sensors is promoted [48]. This approach involves integration of cues and modalities of images and visuals, which enhances the performance of processing the visuals and images. This chapter deals with the latest and the recent advancements in signal/image processing techniques, and network design in healthcare applications. Further, the study aims at academic and scientific contributions to the fellow researchers of this emerging area of technology. Also, the viability/ compatibility among electrophysiological signals such as ECG, EMG, EEG along image processional functionalities have been identified. In addition, some real case studies such as neuroscience, cardiovascular system have been discussed.

Chapter Contents:

  • 4.1 Introduction
  • 4.2 Data-driven cardiac gating signal extraction method for PET
  • 4.2.1 Discussion
  • 4.3 3-D subject-specific shape and density estimation of the lumbar spine
  • 4.3.1 Discussion
  • 4.4 Abnormality detection based on ECG signal preprocessing in remote healthcare application
  • 4.4.1 Preprocessing using DENLMS algorithm
  • 4.5 Breast cancer classification using histology images
  • 4.5.1 CNN architecture
  • 4.6 Conclusion
  • 4.7 Future work
  • References

Inspec keywords: cardiovascular system; electrocardiography; patient diagnosis; medical signal processing; health care; electroencephalography

Other keywords: healthcare applications; computer-oriented visuals; timely expansions; technological arena; healthcare diagnosis; electrophysiological signals; healthcare sectors; image processing; image processional functionalities; comparative note

Subjects: Electrical activity in neurophysiological processes; Electrodiagnostics and other electrical measurement techniques; Optical, image and video signal processing; Digital signal processing; Bioelectric signals; Patient diagnostic methods and instrumentation; Biology and medical computing

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