Biomedical Signal Processing and Control

Aims & Scope

Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences.

Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management.

Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science.

The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters.

Tutorial papers and special issues will also be published.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.9
2024	4.90

Journal Rank

Year	Value
2024	3415

Journal Citation Indicator

Year	Value
2024	20740

SJR (SCImago Journal Rank)

Year	Value
2024	1.229

Quartile

Year	Value
2024	Q1

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Improved complete ensemble EMD: A suitable tool for biomedical signal processing

  Citation: 1220

  Authors: Marcelo A., Gastón, María E.

• Myoelectric control systems—A survey

  Citation: 1007

  Authors: Mohammadreza, Huosheng

• Speech emotion recognition using deep 1D & 2D CNN LSTM networks

  Citation: 892

  Authors: Jianfeng, Xia, Lijiang

• Human motion tracking for rehabilitation—A survey

  Citation: 641

  Authors: Huiyu, Huosheng

• ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform

  Citation: 591

  Authors: Roshan Joy, U. Rajendra, Lim Choo

• Automated diagnosis of epileptic EEG using entropies

  Citation: 518

  Authors: U. Rajendra, Filippo, S. Vinitha, Subhagata, Kwan-Hoong, Jasjit S.

• Speech emotion recognition with deep convolutional neural networks

  Citation: 492

  Authors: Dias, M., Adnan

• A survey on ECG analysis

  Citation: 491

  Authors: Selcan, Alper Kursat, Efnan, Semih, Serkan, M. Bilginer

• Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis

  Citation: 422

  Authors: R., P., U., M., M., L.

• Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network

  Citation: 415

  Authors: Sandeep, L.M., N.R.

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