BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS

Scope & Guideline

Empowering researchers to transform biomedical landscapes.

Introduction

Explore the comprehensive scope of BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1016-2372
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Support Open AccessNo
CountrySingapore
TypeJournal
Convergefrom 1992 to 2024
AbbreviationBIOMED ENG-APP BAS C / Biomed. Eng.-Appl. Basis Commun.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

Aims and Scopes

The journal "Biomedical Engineering - Applications Basis Communications" focuses on the intersection of engineering and biological sciences, emphasizing the application of engineering principles to solve problems in healthcare and medicine. It serves as a platform for innovative research that combines theoretical and practical aspects of biomedical engineering.
  1. Biomedical Signal Processing:
    Research on the processing, analysis, and interpretation of biological signals including EEG, ECG, and EMG, aimed at improving diagnostic and therapeutic techniques.
  2. Medical Imaging Technologies:
    Development and optimization of imaging modalities such as MRI, CT, and ultrasound, along with advanced algorithms for image segmentation, enhancement, and classification.
  3. Machine Learning and AI in Healthcare:
    Application of machine learning, deep learning, and AI techniques to automate diagnosis, predict disease outcomes, and improve patient management through data-driven approaches.
  4. Tissue Engineering and Biomaterials:
    Studies focusing on the design and development of scaffolds, hydrogels, and other biomaterials for tissue regeneration and repair, integrating engineering with biological responses.
  5. Wearable and Implantable Devices:
    Research dedicated to the design and implementation of wearable or implantable devices aimed at monitoring physiological parameters or delivering therapeutic interventions.
  6. Rehabilitation Engineering:
    Exploration of engineering solutions to enhance rehabilitation practices, including the development of assistive devices and systems for physical therapy.
  7. Biomechanics and Biomechanical Modeling:
    Investigations into the mechanical behavior of biological tissues and systems, employing computational models to understand and predict biomechanical phenomena.
The journal is adapting to the evolving landscape of biomedical engineering, and several emerging themes are gaining traction. The following areas reflect the most recent trends in research and innovation.
  1. AI and Machine Learning Applications:
    There is a significant increase in studies employing AI and machine learning algorithms for diagnosing diseases, analyzing medical images, and personalizing treatment plans.
  2. Telemedicine and Remote Monitoring:
    The rise of telehealth solutions and remote patient monitoring technologies has become a prominent theme, especially in light of global health challenges that necessitate distance care.
  3. Integration of IoT in Healthcare:
    Research on the Internet of Things (IoT) in healthcare is expanding, focusing on smart devices that monitor health metrics and facilitate real-time data transmission for improved patient outcomes.
  4. Personalized Medicine:
    An emerging focus on personalized and precision medicine, utilizing genetic, environmental, and lifestyle factors to tailor individualized treatment strategies.
  5. Advanced Biomaterials and Nanotechnology:
    The development of novel biomaterials, particularly those at the nanoscale, is gaining attention for their potential applications in drug delivery, tissue engineering, and regenerative medicine.
  6. Multimodal Data Fusion:
    Increasing interest in combining various types of data (e.g., imaging, genetic, and clinical data) to enhance diagnostic accuracy and treatment efficacy.

Declining or Waning

While certain themes continue to thrive, others are experiencing a decline in research focus. The following areas have shown a reduction in frequency or interest in recent publications.
  1. Traditional Rehabilitation Techniques:
    Research on conventional rehabilitation methods is waning as more emphasis is placed on technology-driven approaches, such as robotic assistance and virtual reality.
  2. Basic Laboratory Studies:
    Experimental laboratory studies that lack direct clinical applications are becoming less common, with a shift towards translational research that bridges laboratory findings with clinical practice.
  3. Non-Technical Health Studies:
    Research focusing on purely qualitative or non-technical aspects of health and illness is decreasing as the field moves towards data-driven, quantitative methodologies.
  4. Single-Discipline Focus:
    Studies that solely focus on one discipline without interdisciplinary integration are less frequent, as collaborative approaches that combine engineering, medicine, and data science gain prominence.

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