Multimodal Sensor Perception Technologies and Medical Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 5 August 2024 | Viewed by 186
Special Issue Editor
Interests: control theory and engineering; neural network and machine learning; robotics; image processing; fault diagnosis and tolerant control; smart grid; UAV; autonomous driving
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the continuous advancement of medical technology, more and more medical operations and rehabilitation tasks are beginning to require advanced medical equipment capable of providing accurate, reliable, and efficient diagnostic and treatment methods. The current traditional medical and rehabilitation equipment cannot offer sufficiently accurate perception and feedback capabilities comparable to the human tactile system. Bionic tactile systems, an emerging development, can be applied to surgical robots, intelligent prosthetics, and rehabilitation devices, offering significant application potential.
A deeper understanding of the impact mechanisms of signals such as pressure and electrical stimulation in human skin tactile perception can guide the design and optimization of multimodal bionic tactile systems. The conduction paths of electrical stimulation signals, the excitation modes of neurons, and the relationship between electrical stimulation and tactile perception can help to simulate the human skin's perception ability. This aids in the development of more accurate, sensitive, and biocompatible bionic electro-tactile skins, assisting the researcher in perceiving and providing various tactile information such as object shape, hardness, and texture.
At the same time, processing and fusing the different data acquired by sensors to generate comprehensive tactile feedback is one of the key technologies of a multimodal bionic tactile system. By integrating related tactile data from different sensors and applying signal processing methods such as data alignment, calibration, fusion, as well as advanced feature processing technologies like feature extraction, filtering, and denoising, the bionic tactile system obtains more comprehensive and accurate tactile information. Therefore, studying data fusion and processing technology can enable bionic tactile systems to better understand and analyze tactile events, providing more reliable evidence for medical applications.
However, current bionic tactile systems face many challenges and technological barriers in practical applications, including the need for sensor integration and interoperability, the complexity of data fusion and processing, and the requirements for real-time, accurate bionic tactile systems. This Special Issue will focus on the research and development of the sensor integration technology, data fusion algorithms, and electro-tactile skin perception mechanisms in order to promote the application of bionic tactile systems in the medical field and people's daily lives.
Dr. Yimin Zhou
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. Sensors 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 2600 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.
