Biomedical Signal Processing in Healthcare: Latest Advances and Prospects
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: closed (20 February 2025) | Viewed by 754
Special Issue Editor
2. Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China
3. Department of Rehabilitation, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang 524003, China
Interests: neural engineering; biomedical engineering; biomedical signal processing; artificial intelligence in medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biomedical signal processing is a rapidly advancing field that plays a pivotal role in healthcare, with the latest advances focusing on the integration of artificial intelligence and machine learning to enhance data analysis and clinical decision-making. The incorporation of intelligent methods in biomedical engineering facilitates the extraction, classification, and optimization of clinical information from vast medical datasets, significantly easing the workload of medical staff and providing effective feedback for clinicians as decision-making systems. Advancements in healthcare sensors and remote measurement tools have enabled continuous monitoring, which is crucial for timely intervention and has expanded into non-medical areas such as fitness and well-being.
The future of biomedical signal processing lies in the ability to analyze complex physiological systems as a whole, using network medicine approaches to understand the structure of diseases better. Biomedical signal processing in healthcare is evolving with a strong focus on intelligent systems that can process and analyze vast amounts of data to support clinical decisions, improve patient care, and open new avenues for research and development.
Recommended topics include, but are not limited to, the following:
- Integration of AI and Machine Learning.
- Wearable Technology for Continuous Health Monitoring.
- Big Data in Healthcare.
- Improvement of Signal Processing Techniques.
- Personalized Medicine.
- Remote Patient Monitoring.
- Non-invasive Diagnostic Tools.
- Smart Alert Systems.
- Data Privacy and Security.
- Ethical Considerations in Healthcare Technology.
Dr. Yong Hu
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- biomedical signal processing
- artificial intelligence
- machine learning
- wearable technology
- big data in healthcare
- personalized medicine
- remote monitoring
- non-invasive diagnostic tool
- smart alert
- data privacy
- security of dataset
- intelligent systems in healthcare
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
