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Micromachines
Special Issues
Recent Advances in Devices for Human Brain Imaging
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Recent Advances in Devices for Human Brain Imaging

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".

Deadline for manuscript submissions: closed (31 May 2019) | Viewed by 3901

Special Issue Editor

Prof. Dr. Massood Tabib Azar

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA
Interests: nano-electro-mechanical systems (NEMS); nano devices and molecular electronics; metrology tools microwave-AFM for bio-nano-info; novel fabrication techniques
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The relationship between firing patterns of the central nervous system and our behavior has become one of the most important research topics of this decade and will continue to gain importance in the future. Perhaps this is one of the last frontiers of discovery regarding human behavior, intelligence, and emotion.  Understanding the human brain and how it works and how it determines what we do, what we think and what we feel, may enable us to understand the origin of many things we do, think and feel.

This Special Issue on biomedical imaging devices will cover the timely topic of intrusive and non-intrusive devices for imaging signals originating from brain’s neuron firing. It will be collection of modern brain imaging techniques with an emphasis on portable or potentially portable imaging devices that may enable in-situ and in-vivo imaging of human brain activity in their natural environment. Direct imaging as well as imaging through enhanced blood flow, and through other intermediaries are included.

Prof. Massood Tabib-Azar
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. Micromachines is an international peer-reviewed open access monthly 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

  • Brain imaging
  • Non-intrusive neural imaging
  • Adaptive brain imaging
  • Spatial brain imaging
  • High resolution imaging
  • Temporal brain imaging
  • Dense imaging arrays
  • Brain image to behavior
  • Portable brain imaging
  • Imaging in behaving human

Published Papers (1 paper)

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Research

15 pages, 4136 KiB  
Article
Design and Verification of a Dry Sensor-Based Multi-Channel Digital Active Circuit for Human Brain Electroencephalography Signal Acquisition Systems
by Chin-Teng Lin, Chi-Hsien Liu, Po-Sheng Wang, Jung-Tai King and Lun-De Liao
Micromachines 2019, 10(11), 720; https://doi.org/10.3390/mi10110720 - 25 Oct 2019
Cited by 6 | Viewed by 3489
Abstract
A brain–computer interface (BCI) is a type of interface/communication system that can help users interact with their environments. Electroencephalography (EEG) has become the most common application of BCIs and provides a way for disabled individuals to communicate. While wet sensors are the most [...] Read more.
A brain–computer interface (BCI) is a type of interface/communication system that can help users interact with their environments. Electroencephalography (EEG) has become the most common application of BCIs and provides a way for disabled individuals to communicate. While wet sensors are the most commonly used sensors for traditional EEG measurements, they require considerable preparation time, including the time needed to prepare the skin and to use the conductive gel. Additionally, the conductive gel dries over time, leading to degraded performance. Furthermore, requiring patients to wear wet sensors to record EEG signals is considered highly inconvenient. Here, we report a wireless 8-channel digital active-circuit EEG signal acquisition system that uses dry sensors. Active-circuit systems for EEG measurement allow people to engage in daily life while using these systems, and the advantages of these systems can be further improved by utilizing dry sensors. Moreover, the use of dry sensors can help both disabled and healthy people enjoy the convenience of BCIs in daily life. To verify the reliability of the proposed system, we designed three experiments in which we evaluated eye blinking and teeth gritting, measured alpha waves, and recorded event-related potentials (ERPs) to compare our developed system with a standard Neuroscan EEG system. Full article
(This article belongs to the Special Issue Recent Advances in Devices for Human Brain Imaging)
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