Biomedical Signal Processing and Control

Elsevier BV

Journal websitePeer review: Peer review
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About the journal

Biomedical Signal Processing and Control is a journal published by Elsevier BV in United Kingdom. It is listed in PUBMED according to the sources read. Declared publication charge: 2,420 USD. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Elsevier BV
ISSN
1746-8108 · 1746-8094
Country
United Kingdom
Access
Not open access / not declared
Declared publication charge
2,420 USD
Declared peer-review model
peer_review

Index listings

  • PUBMED · 2009-10-01
Indexing
PUBMED
APC
2,420 USD
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

9955

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

150

i10-index

4420

From OpenAlex open data (CC0).

Editorial & policy4
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
98%
ORCID iDs in current deposits
70%
Deposits licence metadata at Crossref
✓
Identity & continuity3
Source type
journal
NLM unique ID (PubMed)
101317299
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • EEG and Brain-Computer Interfaces
  • EEG and Brain-Computer Interfaces
  • AI in cancer detection
  • AI in cancer detection
  • ECG Monitoring and Analysis
  • ECG Monitoring and Analysis
  • Brain Tumor Detection and Classification
  • Brain Tumor Detection and Classification
Show all subjects (50)
  • Non-Invasive Vital Sign Monitoring
  • Non-Invasive Vital Sign Monitoring
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques
  • Medical Image Segmentation Techniques
  • Advanced Neural Network Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • COVID-19 diagnosis using AI
  • COVID-19 diagnosis using AI
  • Blind Source Separation Techniques
  • Blind Source Separation Techniques
  • Heart Rate Variability and Autonomic Control
  • Heart Rate Variability and Autonomic Control
  • Muscle activation and electromyography studies
  • Muscle activation and electromyography studies
  • Retinal Imaging and Analysis
  • Retinal Imaging and Analysis
  • Functional Brain Connectivity Studies
  • Functional Brain Connectivity Studies
  • Digital Imaging for Blood Diseases
  • Digital Imaging for Blood Diseases
  • Emotion and Mood Recognition
  • Emotion and Mood Recognition
  • Neural dynamics and brain function
  • Neural dynamics and brain function
  • Phonocardiography and Auscultation Techniques
  • Phonocardiography and Auscultation Techniques
  • Neuroscience and Neural Engineering
  • Neuroscience and Neural Engineering
  • Medical Imaging and Analysis
  • Image and Signal Denoising Methods
  • Image and Signal Denoising Methods
  • Medical Imaging and Analysis
  • Cardiac electrophysiology and arrhythmias
  • Artificial Intelligence in Healthcare
  • Cardiac electrophysiology and arrhythmias
  • Artificial Intelligence in Healthcare
  • Gaze Tracking and Assistive Technology
  • Gaze Tracking and Assistive Technology
  • Medical Imaging Techniques and Applications
  • Medical Imaging Techniques and Applications

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: