Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology. - Info and Reading Options
By Zao, John K., Gan, Tchin-Tze, You, Chun-Kai, Chung, Cheng-En, Wang, Yu-Te, Rodriguez Mendez, Sergio Jose, Mullen, Tim, Yu, Chieh, Kothe, Christian, Hsiao, Ching-Teng, Chu, San-Liang, Shieh, Ce-Kuen and Jung, Tzyy-Ping
"Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology." and the language of the book is English.
“Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.” Metadata:
- Title: ➤ Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.
- Authors: ➤ Zao, John K.Gan, Tchin-TzeYou, Chun-KaiChung, Cheng-EnWang, Yu-TeRodriguez Mendez, Sergio JoseMullen, TimYu, ChiehKothe, ChristianHsiao, Ching-TengChu, San-LiangShieh, Ce-KuenJung, Tzyy-Ping
- Language: English
Edition Identifiers:
- Internet Archive ID: pubmed-PMC4042686
AI-generated Review of “Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.”:
"Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology." Description:
The Internet Archive:
This article is from <a href="//archive.org/search.php?query=journaltitle%3A%28Frontiers%20in%20Human%20Neuroscience%29" rel="ugc nofollow">Frontiers in Human Neuroscience</a>, <a href="//archive.org/search.php?query=journaltitle%3A%28Frontiers%20in%20Human%20Neuroscience%29%20AND%20volume%3A%288%29" rel="ugc nofollow">volume 8</a>.<h2>Abstract</h2>EEG-based Brain-computer interfaces (BCI) are facing basic challenges in real-world applications. The technical difficulties in developing truly wearable BCI systems that are capable of making reliable real-time prediction of users' cognitive states in dynamic real-life situations may seem almost insurmountable at times. Fortunately, recent advances in miniature sensors, wireless communication and distributed computing technologies offered promising ways to bridge these chasms. In this paper, we report an attempt to develop a pervasive on-line EEG-BCI system using state-of-art technologies including multi-tier Fog and Cloud Computing, semantic Linked Data search, and adaptive prediction/classification models. To verify our approach, we implement a pilot system by employing wireless dry-electrode EEG headsets and MEMS motion sensors as the front-end devices, Android mobile phones as the personal user interfaces, compact personal computers as the near-end Fog Servers and the computer clusters hosted by the Taiwan National Center for High-performance Computing (NCHC) as the far-end Cloud Servers. We succeeded in conducting synchronous multi-modal global data streaming in March and then running a multi-player on-line EEG-BCI game in September, 2013. We are currently working with the ARL Translational Neuroscience Branch to use our system in real-life personal stress monitoring and the UCSD Movement Disorder Center to conduct in-home Parkinson's disease patient monitoring experiments. We shall proceed to develop the necessary BCI ontology and introduce automatic semantic annotation and progressive model refinement capability to our system.
Read “Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.”:
Read “Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.” by choosing from the options below.
Available Downloads for “Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.”:
"Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology." is available for download from The Internet Archive in "texts" format, the size of the file-s is: 15.66 Mbs, and the file-s went public at Tue Oct 21 2014.
Legal and Safety Notes
Copyright Disclaimer and Liability Limitation:
A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.
B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.
C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.
D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.
E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.
Virus Scanning for Your Peace of Mind:
The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:
How to scan a direct download link for viruses:
- 1- Copy the direct link to the file you want to download (don’t open it yet). (a free online tool) and paste the direct link into the provided field to start the scan.
- 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
- 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
- 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.
Available Downloads
- Source: Internet Archive
- Internet Archive Link: Archive.org page
- All Files are Available: Yes
- Number of Files: 14
- Number of Available Files: 14
- Added Date: 2014-10-21 20:33:19
- Scanner: Internet Archive Python library 0.7.2
- PPI (Pixels Per Inch): 300
- OCR: ABBYY FineReader 9.0
Available Files:
1- Text PDF
- File origin: original
- File Format: Text PDF
- File Size: 0.00 Mbs
- File Name: PMC4042686-fnhum.2014.00370.pdf
- Direct Link: Click here
2- Item Tile
- File origin: original
- File Format: Item Tile
- File Size: 0.00 Mbs
- File Name: __ia_thumb.jpg
- Direct Link: Click here
3- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: pubmed-PMC4042686_files.xml
- Direct Link: Click here
4- JSON
- File origin: original
- File Format: JSON
- File Size: 0.00 Mbs
- File Name: pubmed-PMC4042686_medline.json
- Direct Link: Click here
5- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: pubmed-PMC4042686_meta.sqlite
- Direct Link: Click here
6- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: pubmed-PMC4042686_meta.xml
- Direct Link: Click here
7- DjVu
- File origin: derivative
- File Format: DjVu
- File Size: 0.00 Mbs
- File Name: PMC4042686-fnhum.2014.00370.djvu
- Direct Link: Click here
8- Animated GIF
- File origin: derivative
- File Format: Animated GIF
- File Size: 0.00 Mbs
- File Name: PMC4042686-fnhum.2014.00370.gif
- Direct Link: Click here
9- Abbyy GZ
- File origin: derivative
- File Format: Abbyy GZ
- File Size: 0.00 Mbs
- File Name: PMC4042686-fnhum.2014.00370_abbyy.gz
- Direct Link: Click here
10- DjVuTXT
- File origin: derivative
- File Format: DjVuTXT
- File Size: 0.00 Mbs
- File Name: PMC4042686-fnhum.2014.00370_djvu.txt
- Direct Link: Click here
11- Djvu XML
- File origin: derivative
- File Format: Djvu XML
- File Size: 0.00 Mbs
- File Name: PMC4042686-fnhum.2014.00370_djvu.xml
- Direct Link: Click here
12- Single Page Processed JP2 ZIP
- File origin: derivative
- File Format: Single Page Processed JP2 ZIP
- File Size: 0.01 Mbs
- File Name: PMC4042686-fnhum.2014.00370_jp2.zip
- Direct Link: Click here
13- Scandata
- File origin: derivative
- File Format: Scandata
- File Size: 0.00 Mbs
- File Name: PMC4042686-fnhum.2014.00370_scandata.xml
- Direct Link: Click here
14- Archive BitTorrent
- File origin: metadata
- File Format: Archive BitTorrent
- File Size: 0.00 Mbs
- File Name: pubmed-PMC4042686_archive.torrent
- Direct Link: Click here
Search for “Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.” in Libraries Near You:
Read or borrow “Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.” from your local library.
Buy “Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.” online:
Shop for “Pervasive Brain Monitoring And Data Sharing Based On Multi-tier Distributed Computing And Linked Data Technology.” on popular online marketplaces.
- Ebay: New and used books.