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The 12th Annual IEEE Signal Processing in Medicine and Biology Symposium (SPMB22)

The 12th Annual IEEE Signal Processing in Medicine and Biology Symposium (SPMB22)

Philadelphia , United States

Submission Deadline: Monday 01 Aug 2022

Conference Dates: Dec 03, 2022 - Dec 03, 2022

Research
Impact Score 0.20

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 0.20
Contributing Best Scientists: 4
H5-index:
Papers published by Best Scientists 5
Research Ranking (Computer Science) 970
Research Ranking (Neuroscience) 33

Conference Call for Papers

Papers of general interest to the disciplines of signal processing and bioengineering are welcome, particularly those in emerging areas such deep learning and big data. Papers have been indexed in IEEE Xplore (https://ieeexplore.ieee.org/). Selected full papers will be invited to be published as a book chapter in an ebook produced by Springer.

Paper/Abstract Submission:
Presenters may choose to submit to one of two peer-reviewed tracks:
(1) Paper: An original four to six-page paper for oral presentation.
(2) Poster: A short abstract (one-page min.) that will be presented as a poster.

All papers and abstracts will be submitted to IEEE Xplore for indexing (search for “IEEE SPMB” to find past conferences). Papers/abstracts can be submitted via email to [email protected]

Contributions must follow the approved conference formats (see guidelines https://www.isip.piconepress.com/conferences/ieee_spmb/2022/forms/templates/).

Videos of your presentations will also be archived online. Final poster submissions include a copy of the poster.

Important Dates:
Paper Submission: July 1, 2022
Notification: Sep. 1, 2022
Paper Revisions: Oct. 1, 2022
Early Registration: Nov. 1, 2022
Final Program: Dec. 4, 2022

Overview

Top Research Topics at IEEE Signal Processing in Medicine and Biology Symposium?

  • Artificial intelligence (44.98%)
  • Pattern recognition (23.62%)
  • Electroencephalography (21.68%)

The scientific interests tackled in the conference are Artificial intelligence, Pattern recognition, Electroencephalography, Computer vision and Feature extraction. The studies on Artificial intelligence discussed can also contribute to research in the domains of Machine learning and Signal. The Signal study featured in IEEE Signal Processing in Medicine and Biology Symposium draws connections with the study of Artifact (error).

IEEE Signal Processing in Medicine and Biology Symposium dives deep in exploring the relationship between the study of Pattern recognition and Time–frequency analysis. Topics in Electroencephalography were tackled in line with various other fields like Speech recognition, Audiology and Epilepsy.

What are the most cited papers published at the conference?

  • An experimental study of deep convolutional features for iris recognition (75 citations)
  • Exploring EEG-based biometrics for user identification and authentication (66 citations)
  • Deep learning with convolutional neural networks for decoding and visualization of EEG pathology (59 citations)

Research areas of the most cited articles at IEEE Signal Processing in Medicine and Biology Symposium:

The published papers investigate areas of study like Artificial intelligence, Electroencephalography, Speech recognition, Pattern recognition and Machine learning. The most cited papers about Feature extraction, Deep learning and Biometrics are all disciplines of Artificial intelligence that connect with topics in Fully automatic. Issues in Pattern recognition were discussed in the conference papers, taking into consideration concepts from other disciplines like Binary image and Multispectral image.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Internal medicine
  • Machine learning

The previous edition focused in particular on these issues:

Artificial intelligence, Electroencephalography, Pattern recognition, Deep learning and Seizure detection are the subjects of interest in IEEE Signal Processing in Medicine and Biology Symposium. The event explores Artificial intelligence concepts, specifically Convolutional neural network but expands to research in Process (engineering). Topics in Electroencephalography explored in the conference were investigated in conjunction with research in Feature extraction, Speech recognition and Epilepsy.

In the conference, Time delay neural network, Signal, Phonocardiogram and Radar are investigated in conjunction with one another to address concerns in Pattern recognition research. The Deep learning works featured in the event incorporate elements from Speech technology, Natural language and Hidden Markov model. In addition to Seizure detection research, it aims to explore topics under False alarm, Sensitivity (control systems) and Artificial neural network, Neural network system.

The most cited articles from the last conference are:

  • Seizure Type Classification Using EEG Signals and Machine Learning: Setting a Benchmark (6 citations)
  • Machine Learning Applications to DNA Subsequence and Restriction Site Analysis (5 citations)
  • Epileptic Seizure Detection in EEG via Fusion of Multi-View Attention-Gated U-Net Deep Neural Networks (5 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at IEEE Signal Processing in Medicine and Biology Symposium (based on the number of publications) are:

  • Iyad Obeid (31 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Joseph Picone (27 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Hansen A. Mansy (13 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Yao Wang (12 papers) absent at the last edition,
  • Ivan Selesnick (11 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at IEEE Signal Processing in Medicine and Biology Symposium (based on the number of publications) are:

  • Temple University (55 papers) published 8 papers at the last edition, 1 more than at the previous edition,
  • New York University (23 papers) absent at the last edition,
  • University of Central Florida (13 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Rutgers University (13 papers) absent at the last edition,
  • Florida International University (10 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2020 edition, 8.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.35% were posted by at least one author from the top 10 institutions publishing at the conference. Another 5.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.65% of all publications and 44.12% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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Previous Editions

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