Home / Journals International Journal of Biomedical Engineering and Clinical Science / Biomedical Signal & Image Processing and Pattern Recognition
Biomedical Signal & Image Processing and Pattern Recognition
Submission DeadlineJan. 10, 2020

Online submission system: http://www.sciencepublishinggroup.com/login

Lead Guest Editor
Ali Momennezhad
Department of Biomedical Engineering Sahand University of Technology, Sahand, Tabriz, Iran
Guest Editors
  • Nivedita Daimiwal
    Sathyabama University, Chennai, Tamil Nadu, India
  • Revati Shriram
    Cummins College of Engineering for Women, Pune, Maharashtra, India
  • Hamid Hassanpour
    Shahrood University of Technology, Semnan, Shahrood, Iran
  • Eric Laciar Leber
    Sanjuan University, San Juan, Argentina
  • Sajib Saha
    University of New south Wales, Kensington, Sydney, Australia
  • Rajib Rana
    University of Southern Queensland, Queensland, Australia
Introduction
The suggested issue title aims to attract papers on physiological signal and Image processing like EEG, EMG, ECG, EOG, MRI etc. and their applications in bringing more comfort to, specifically, the life of the disabled, patients suffering cancers, Tumors and etc. As it is known, scholars in these fields are facing many problems. For example, in EEG, patients usually have to wear a cap with too many electrodes which makes it very annoying and uncomfortable. Also, the proposed algorithms usually are restricted to laboratories not real life. So, user-friendly and accurate techniques are needed to satisfy the demands in the world outside the labs. Physiological signals (Images) are naturally noisy and have low signal to noise ratio (SNR) and it is almost the major problem in the mentioned fields. Also, physiological data are usually large in quality as well as noise. For solving these challenges and problems, fast, robust, more efficient, accurate and cutting-edge pattern recognition methods are required to process these raw signals& images.
Also, in order to advance further in these fields, studies on the structure and performance of the brain, Eye, Heart and muscles are required. Through deep knowledge of the structure of the body, scholars can acquire more authentic, efficient and reliable data-set and suggest more effective methods.
Aims and Scope:
  1. Brain, Heart, Eye, Muscle Morphology
  2. EEG
  3. Classification
  4. Feature Extraction
  5. Signal & Image Processing
  6. Feature Selection
Guidelines for Submission
Manuscripts should be formatted according to the guidelines for authors
(see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=345).

Please download the template to format your manuscript.

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