scholarly journals Prospective Head Motion Compensation for MRI by Updating the Gradients and Radio Frequency During Data Acquisition

Author(s):  
Christian Dold ◽  
Maxim Zaitsev ◽  
Oliver Speck ◽  
Evelyn A. Firle ◽  
Jürgen Hennig ◽  
...  
Author(s):  
Masoud Mohammadian ◽  
Ric Jentzsch

Radio frequency identification (RFID) is a promising technology for improving services and reduction of cost in health care. Accurate almost real time data acquisition and analysis of patient data and the ability to update such a data is a way to improve patients care and reduce cost in health care systems. This article employs wireless radio frequency identification technology to acquire patient data and integrates wireless technology for fast data acquisition and transmission, while maintaining the security and privacy issues. An intelligent agent framework is proposed to assist in managing patients health care data in a hospital environment. A data classification method based on fuzzy logic is proposed and developed to improve the data security and privacy of data collected and propagated.


2013 ◽  
Vol 816-817 ◽  
pp. 550-553
Author(s):  
Xiang Zheng Li ◽  
Xi Wei Peng ◽  
Qing Bo Geng

This paper discusses a system of data acquisition and processing based on radio frequency technology and labview. It is designed for data acquisition and transmission of UAV (Unmanned Aerial Vehicle) test system. It makes full use of the usefulness of labview in measurement field and the flexibility of wireless data transmission.Firstly this paper introduces the hardware and software of wireless data acquisition and transmission device. Then it introduces the design of labview software. Finally UAV test system uses this device to collect and analysis data, it provided a lot of useful information for the UAV flight test.


2006 ◽  
Vol 13 (9) ◽  
pp. 1093-1103 ◽  
Author(s):  
Christian Dold ◽  
Maxim Zaitsev ◽  
Oliver Speck ◽  
Evelyn A. Firle ◽  
Jürgen Hennig ◽  
...  

2019 ◽  
Author(s):  
Tobias W. Meissner ◽  
Jon Walbrin ◽  
Marisa Nordt ◽  
Kami Koldewyn ◽  
Sarah Weigelt

AbstractHead motion remains a challenging confound in functional magnetic resonance imaging (fMRI) studies of both children and adults. Most pediatric neuroimaging labs have developed experience-based, child-friendly standards concerning e.g. the maximum length of a session or the time between mock scanner training and actual scanning. However, it is unclear which factors of child-friendly neuroimaging approaches are effective in reducing head motion. Here, we investigate three main factors including (i) time lag of mock scanner training to the actual scan, (ii) prior scan time, and (iii) task engagement in a dataset of 77 children (aged 6-13) and 64 adults (aged 18-35) using a multilevel modeling approach. In children, distributing fMRI data acquisition across multiple same-day sessions reduces head motion. In adults, motion is reduced after inside-scanner breaks. Despite these positive effects of splitting up data acquisition, motion increases over the course of a study as well as over the course of a run in both children and adults. Our results suggest that splitting up fMRI data acquisition is an effective tool to reduce head motion in general. At the same time, different ways of splitting up data acquisition benefit children and adults.HighlightsIn children, fMRI data acquisition split into multiple sessions reduces head motionIn adults, fMRI data acquisition split by inside-scanner breaks reduces head motionIn both children and adults, motion increases over the duration of a studyIn both children and adults, motion increases over the duration of a run


2019 ◽  
Vol 08 (01) ◽  
pp. 1940010 ◽  
Author(s):  
Willem A. Baan

This paper presents an overview of methods for mitigating radio frequency interference (RFI) in radio science data. The primary purpose of mitigation is to assist observatories to take useful data outside frequency bands allocated to the Science Services (Radio Astronomy Service (RAS) and Earth Exploration Service (EESS)): mitigation should not be needed within passive bands. Mitigation methods may be introduced at a variety of points within the data acquisition system in order to lessen the RFI intensity and to limit the damage it causes. These methods range from proactive methods to changing the local RFI environment by means of regulatory manners, to pre- and post-detection methods, to various pre-processing methods, and to methods applied at or post-processing.


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