Journal of Medical Signals & Sensors

Scope & Guideline

Elevating Medical Research with Rigorous Peer Review

Introduction

Delve into the academic richness of Journal of Medical Signals & Sensors with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2228-7477
PublisherWOLTERS KLUWER MEDKNOW PUBLICATIONS
Support Open AccessYes
CountryIndia
TypeJournal
Convergefrom 2011 to 2024
AbbreviationJ MED SIGNALS SENS / J. Med. Signals Sens.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWOLTERS KLUWER INDIA PVT LTD, A-202, 2ND FLR, QUBE, C T S NO 1498A-2 VILLAGE MAROL, ANDHERI EAST, MUMBAI, Maharashtra 400059, INDIA

Aims and Scopes

The Journal of Medical Signals & Sensors focuses on the intersection of medical technology and signal processing, aiming to advance the understanding and application of medical signals in various healthcare domains. The journal emphasizes interdisciplinary approaches that incorporate engineering, computer science, biology, and medicine to address complex medical challenges.
  1. Medical Signal Processing:
    Research on techniques and algorithms for processing medical signals, including EEG, ECG, and imaging data, to enhance diagnostic accuracy and patient monitoring.
  2. Biomedical Imaging:
    Studies focusing on innovative imaging techniques such as MRI, CT, and ultrasound, emphasizing the enhancement, analysis, and interpretation of medical images.
  3. Wearable Health Technology:
    Development and analysis of wearable devices for continuous health monitoring, including applications in chronic disease management and real-time health assessment.
  4. Artificial Intelligence in Healthcare:
    Integration of AI and machine learning techniques to improve clinical decision-making, automate diagnosis, and enhance the analysis of medical data.
  5. Biosensors and Bioinformatics:
    Research on the development of biosensors for various applications in diagnostics and therapy, alongside bioinformatics approaches to analyze biological data.
  6. Radiation Therapy Techniques:
    Exploration of advancements in radiation therapy, including dosimetric studies and the application of simulation models for treatment optimization.
The Journal of Medical Signals & Sensors has demonstrated a dynamic evolution in its research themes, with particular emphasis on cutting-edge technologies and interdisciplinary methodologies that reflect current healthcare challenges.
  1. Artificial Intelligence and Machine Learning:
    Recent publications increasingly highlight the application of AI and machine learning in medical diagnostics and treatment planning, showcasing their potential to revolutionize healthcare delivery.
  2. Telehealth and Remote Monitoring:
    The rise of telehealth solutions, particularly in light of the COVID-19 pandemic, has led to an increase in research focused on remote patient monitoring technologies and systems.
  3. Advanced Biosensing Technologies:
    Emerging biosensors leveraging nanotechnology and microfluidics are gaining traction, reflecting a growing interest in rapid and accurate diagnostic tools.
  4. Radiomics and Image Biomarkers:
    Research on radiomics, which extracts large amounts of features from medical images, is on the rise, indicating a trend towards personalized medicine and predictive analytics.
  5. Integration of IoT in Healthcare:
    The integration of Internet of Things (IoT) technologies in healthcare applications is becoming more prevalent, emphasizing the need for smart health monitoring systems that enhance patient care.

Declining or Waning

While the Journal of Medical Signals & Sensors continues to thrive in various research areas, certain themes have seen a decline in recent publications. These waning scopes highlight shifts in research priorities and technological advancements.
  1. Traditional Imaging Techniques:
    There has been a noticeable decrease in studies focused solely on conventional imaging methods without integration of advanced processing or AI, suggesting a shift towards more innovative approaches.
  2. Basic Signal Processing Techniques:
    Research centered on fundamental signal processing methods is declining as more complex and integrated approaches emerge, particularly those involving machine learning and deep learning.
  3. Pharmacological Studies:
    Research papers focusing solely on pharmacological aspects without a technological or signal analysis component have become less frequent, indicating a move towards more interdisciplinary studies.
  4. Non-Digital Health Monitoring Systems:
    The exploration of analog or non-digital health monitoring systems has waned, as the field pivots towards digital and connected health technologies.

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