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Journal of Medical Signals and Sensors - Wolters Kluwer Medknow | 2025 Impact Factor:2.0 | Cite Score:2.5 | SCOPUS Q2

Journal of Medical Signals and Sensors With Cite Score

Cite Score and Journal Rank of Journal of Medical Signals and Sensors

  • About: The Journal of Medical Signals and Sensors (JMSS) is a peer-reviewed academic journal dedicated to publishing high-quality research articles, reviews, and case studies in the field of biomedical engineering and medical signal processing. The journal covers a wide range of topics, including medical imaging, biosignal processing, sensor technologies, health informatics, and the development of medical devices. JMSS serves as a platform for researchers, academics, and practitioners to share their innovative research and advancements in medical signals and sensor technologies.
  • Objective:
    The primary objective of the Journal of Medical Signals and Sensors is to disseminate cutting-edge research and developments in the analysis and application of medical signals and sensors. The journal aims to foster the exchange of ideas and knowledge among researchers and practitioners to address the challenges and opportunities in the field. JMSS seeks to contribute to the advancement of theories, methodologies, and practices that enhance the acquisition, processing, and interpretation of medical signals and the development of sensor technologies for healthcare applications.
  • Interdisciplinary Approach:
    The Journal of Medical Signals and Sensors adopts an interdisciplinary approach by encompassing research from various fields related to biomedical engineering, medical physics, computer science, and healthcare. This approach ensures a comprehensive exploration of problems and solutions at the intersection of these disciplines. The journal encourages contributions that integrate insights from multiple areas to address complex issues related to the design, development, and application of medical signals and sensors in clinical practice and healthcare systems.
  • Impact:
    The journal has a significant impact on the research community and the practice of biomedical engineering and medical signal processing by providing a platform for the publication of innovative research and practical solutions. JMSS is widely cited by researchers, practitioners, and policymakers interested in the latest advancements in medical signals and sensors. The research published in the journal informs the development of policies, guidelines, and best practices that enhance the integration of medical signals and sensor technologies in healthcare, ultimately contributing to more efficient and effective patient care and medical diagnostics.
  • Significance:
    The Journal of Medical Signals and Sensors plays a crucial role in advancing the understanding and practice of biomedical engineering and medical signal processing. Its focus on both theoretical and practical aspects makes it an essential resource for researchers, academics, and practitioners. By facilitating the exchange of knowledge and ideas, JMSS supports the development of innovative strategies and technologies that promote the growth and improvement of interdisciplinary research and applications, ultimately contributing to more efficient and effective solutions in medical signals and sensors and their related fields.

  • Editor-in-Chief:  Dr Hossein Rabani

  • Scope: The Journal of Medical Signals and Sensors (JMSS) is a peer-reviewed journal focused on the interdisciplinary field of biomedical engineering, particularly emphasizing the development, evaluation, and application of medical devices and systems. The scope of the journal includes a broad range of topics related to medical signals and sensors, providing a platform for researchers, clinicians, and engineers to share their latest findings and technological advancements. The areas covered by the journal include, but are not limited to, the following:
  • Biomedical Signal Processing: Research on the acquisition, processing, and analysis of biological signals, such as electrocardiograms (ECG), electroencephalograms (EEG), electromyograms (EMG), and other physiological signals.
  • Medical Imaging: Studies on imaging modalities, including MRI, CT, ultrasound, PET, and optical imaging, along with image processing and analysis techniques.
  • Wearable and Implantable Sensors: Research on the design, development, and application of wearable and implantable sensors for monitoring physiological parameters.
  • Signal Detection and Classification: Techniques for detecting and classifying medical signals, including pattern recognition, machine learning, and artificial intelligence methods.
  • Biosensors and Bioinstrumentation: Studies on the development and application of biosensors and bioinstrumentation for medical diagnostics and monitoring.
  • Biomedical Devices: Research on the design and development of medical devices, including their clinical applications and performance evaluation.
  • Telemedicine and Remote Monitoring: Advances in telemedicine technologies, remote patient monitoring systems, and their integration into healthcare.
  • Clinical Applications: Studies on the application of signal processing and sensor technologies in clinical settings for diagnosis, treatment, and patient management.
  • Health Informatics: Research on the integration of medical signals and sensors data into health informatics systems, including data management, analysis, and visualization.
  • Rehabilitation Engineering: Development and evaluation of technologies for rehabilitation, including prosthetics, orthotics, and assistive devices.
  • Innovative Algorithms and Techniques: Novel algorithms and techniques for enhancing the accuracy and reliability of medical signal processing and sensor systems.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  22287477

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2025:  2.0

  • Subject Area and Category:   Computer Science, Computer Science (miscellaneous), Engineering, Biomedical Engineering, Health Professions, Radiological and Ultrasound Technology, Medicine, Health Informatics, Radiology, Nuclear Medicine and Imaging

  • Publication Frequency:  

  • H Index:  34

  • Best Quartile:

    Q1:  

    Q2:  Biomedical Engineering

    Q3:  

    Q4:  

  • Cite Score:  3.2

  • SNIP:  0.726

  • Journal Rank(SJR):  0.726