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Recent Innovations in Bioinstrumentation and Medical Imaging Technology

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 336

Special Issue Editor


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Guest Editor
1. Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8573, Japan
2. School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki 214-8571, Japan
Interests: biological sensing; human interface design; computer vision; humanoid robot design
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Special Issue Information

Dear Colleagues,

The purpose of this Special Issue is to introduce the recent innovations in bioinstrumentation and medical imaging technology.

Bioinstrumentation is a technology that enables non-invasive quantification of a person's internal state, especially through the use of electronic technology, and enables the voluntary control of equipment using the biological signals obtained. Examples of biological data include myoelectric and electrocardiographic signals, brain waves, blood pressure, body temperature, respiration, saliva, autonomic nervous system functions, sleep, eye movements, facial expressions, and body movements. Through database creation and big data analysis, health care, improvements in quality of life, rehabilitation, and sport applications are possible. Recently, many wearable sensors have become available on the market which can provide information for long periods of time without causing a psychological and physiological burden on the user.

Medical imaging, on the other hand, is a technology that visualizes the internal structures and functions of the human body as images, especially for the diagnosis and treatment of diseases. Medical imaging technologies include radiography, computed tomography, nuclear magnetic resonance imaging, ultrasound tomography, nuclear medicine, angiography, and ultrasonography. Recently, it has become possible to take thin-slice images in a short time, which can also be used as three-dimensional images.

Recent innovations in both technologies have led to exceptional efficacy in the acquisition and understanding of human biological information. In this Special Issue, we welcome the active submission of papers that introduce the remarkable developments and innovations in bioinstrumentation and medical imaging technology.

Prof. Dr. Kiyoshi Hoshino
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.

Keywords

  • bioinstrumentation, bio-sensing, transducer, and detection technologies
  • wearable sensors and devices
  • signal and image processing, data analysis, and communication technologies
  • biomathematical models
  • new applications in bioinstrumentation
  • hardware for medical imaging
  • medical image analysis
  • medical big data
  • machine learning and deep learning

Published Papers

This special issue is now open for submission.
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