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ACTIVE AND PASSIVE 3D IMAGING TECHNOLOGIES APPLIED TO WATERLOGGED WOODEN ARTIFACTS FROM SHIPWRECKS

A. Bandiera, C. Alfonso, R. Auriemma
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The interest originates from the need to develop a protocol for documentation and digital restoration of archaeological finds discovered along the coast of Torre S. Sabina (BR) Italy.  ...  These technologies have permitted us to start defining a protocol to follow for all waterlogged wooden artefacts requiring documentation and restoration.  ...  ACKNOWLEDGEMENTS The authors would to acknowledge Agisoft® that graciously provided an evaluation copy of PhotoScan. Also thanks to Sarah Scott for her proofreading.  ... 
doi:10.5194/isprsarchives-xl-5-w5-15-2015 fatcat:zitmse36bbbxfeqg2wobkgtqnu

An automatic pre-processing method to detect and reject signal artifacts from full-shift field-work sEMG recordings of bilateral trapezius activity

Tove Østensvik, Helmer Belbo, Kaj Bo Veiersted
2019 Journal of Electromyography & Kinesiology  
We express our gratitude to colleagues for implementation of the recruitment and logistics; Juha Nurmi and Tero Takala LUKE/Finland; Eirik Nordhagen NIBIO/Norway; Magnus Thor and Martin Englund, Swedish  ...  However, most of the artifact contribution is allocated in correspondence to muscular contraction that cause the electrodes to move (Conforto et al., 1999) .  ...  This highlight that also during periods of normal contact, it can happen to have a few erroneous signals, probably due to artifact movement, but in contrast to the loss of the electrode-skin contact, the  ... 
doi:10.1016/j.jelekin.2019.03.009 fatcat:ch2qqydzuvemnfjfpsq2bi2ki4

NEW APPROACH TO THE DETECTION OF EPILEPTIFORM ACTIVITY IN EEG SIGNALS AND METHODS TO DIFFERENTIATE EPILEPTIC SEIZURES FROM CHEWING ARTIFACTS
НОВЫЙ ПОДХОД К ДЕТЕКТИРОВАНИЮ ЭПИЛЕПТИФОРМНОЙ АКТИВНОСТИ В СИГНАЛАХ ЭЭГ И СПОСОБЫ ДИФФЕРЕНЦИАЦИИ ЭПИЛЕПТИЧЕСКИХ ПРИСТУПОВ ОТ АРТЕФАКТОВ ЖЕВАНИЯ

Ivan A. Kershner, Kotelnikov Institute of Radioengineering and Electronics of RAS, Mikhail V. Sinkin, Yuri V. Obukhov, Sklifosovsky Scientific Research Institute for Emergency Medicine of Moscow Department of Health, Kotelnikov Institute of Radioengineering and Electronics of RAS
2019 Radioelectronics Nanosystems Information Technologies  
Another approach to differentiate epileptic activity from chewing artifacts is to analyze the broadband peaks of wavelet.  ...  By combining those two approaches it is possible to reliably differentiate an epileptic seizure from a chewing artifact.  ... 
doi:10.17725/rensit.2019.11.237 fatcat:taza2azsdrdqnoig6r76c46pxa

Artifact Correction of the Ongoing EEG Using Spatial Filters Based on Artifact and Brain Signal Topographies

Nicole Ille, Patrick Berg, Michael Scherg
2002 Journal of clinical neurophysiology  
Spatial filters based on artifact and brain signal topographies can remove artifacts completely without distortion of relevant brain activity.  ...  The authors describe the basic principle of artifact correction by spatial filtering and they review different approaches to estimate artifact and brain signal topographies.  ...  To separate artifact from brain activity without distortion of relevant brain signals, artifact and cerebral contribution to the EEG epoch have to be estimated.  ... 
doi:10.1097/00004691-200203000-00002 pmid:11997722 fatcat:4kl6p6moezfk5fecrfkdm5pdei

Activity Inference for Ambient Intelligence Through Handling Artifacts in a Healthcare Environment

Francisco E. Martínez-Pérez, Jose Ángel González-Fraga, Juan C. Cuevas-Tello, Marcela D. Rodríguez
2012 Sensors  
The RB is based on both analysis and recognition from artifact behavior for activity inference.  ...  to activity recognition based on artifact recognition.  ...  This work was funded through the scholarship provided to the first author (CONACYT 243422/217747).  ... 
doi:10.3390/s120101072 pmid:22368512 pmcid:PMC3279256 fatcat:7csu2j7jgza2jbo5gmvfbkfm6i

Real-Time EEG Signal Enhancement Using Canonical Correlation Analysis and Gaussian Mixture Clustering

Chin-Teng Lin, Chih-Sheng Huang, Wen-Yu Yang, Avinash Kumar Singh, Chun-Hsiang Chuang, Yu-Kai Wang
2018 Journal of Healthcare Engineering  
Several blind source separation methods have been developed to remove artifacts from the EEG recordings.  ...  The CCA was used to decompose EEG signals into components followed by feature extraction to extract representative features and GMM to cluster these features into groups to recognize and remove artifacts  ...  activity from artifacts.  ... 
doi:10.1155/2018/5081258 pmid:29599950 pmcid:PMC5823426 fatcat:mfduskrvbfd33j63u4j4kac66y

Artifacts and Normal Variations in Human Ocular Electromyography

A. JAMPOLSKY, E. TAMLER, E. MARG
1959 Archives of Ophthalmology  
It is of especial importance to analyze a fast-film-sweep-speed sample in order to distinguish artifacts from true unit activity, not always distinguishable in recordings at slower speeds.  ...  I t has been pointed out that low-amplitude recordings, such as from paretic muscles, are particularly prone to artifacts.  ... 
doi:10.1001/archopht.1959.00940090404010 fatcat:3s7snbsrvnaqxkisysure62u4a

Neuronal Responses in the Globus Pallidus during Subthalamic Nucleus Electrical Stimulation in Normal and Parkinson's Disease Model Rats

Sang Baek Ryu, Eun Kyung Bae, Jinhyung Kim, Yong Sup Hwang, Changkyun Im, Jin Woo Chang, Hyung-Cheul Shin, Kyung Hwan Kim
2013 Korean Journal of Physiology and Pharmacology  
However, it is difficult to observe neuronal activity during DBS because of large stimulation artifacts.  ...  A custom artifact removal technique was devised to enable monitoring of neural activity during stimulation.  ...  activity to return to the baseline pathological activity due to the short inter-stimulus pulse intervals.  ... 
doi:10.4196/kjpp.2013.17.4.299 pmid:23946689 pmcid:PMC3741486 fatcat:v7jjjtkxrze3tkvy3v7ny6ze3u

A Change Support Model for Distributed Collaborative Work [article]

Phan Thi Thanh Huyen, Koichiro Ochimizu
2012 arXiv   pre-print
Next, we present the model and the method to generate change support workflows from the information repository.  ...  Distributed collaborative software development tends to make artifacts and decisions inconsistent and uncertain.  ...  activities, create an arc from the activity containing the Target to the activity containing the Source. • If the write data set of an activity contains an artifact, i.e. a diagram, that is the Target  ... 
arXiv:1212.1762v1 fatcat:pp4ccgib4raprkxmxjgzqnw3qy

Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects

Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski
2000 Clinical Neurophysiology  
ocular artifacts from even strongly contaminated EEG recordings.  ...  Methods: Frontal channels are often used as reference signals to regress out eye artifacts, but inevitably portions of relevant EEG signals also appearing in EOG channels are thereby eliminated or mixed  ...  Acknowledgements This report was supported in part by a grant from the Swartz Foundation, and grants from the Of®ce of Naval Research ONR.Reimb.30020.6429 (S.M.), from the Howard Hughes Medical Institute  ... 
doi:10.1016/s1388-2457(00)00386-2 pmid:11018488 fatcat:ag5jbqieubfcfg7ltawx3ub5gy

A Visualization for Software Project Awareness and Evolution

Roger M. Ripley, Anita Sarma, Andre van der Hoek
2007 2007 4th IEEE International Workshop on Visualizing Software for Understanding and Analysis  
Real-time awareness of other developers' activities is a powerful tool to assist in coordination of developer activities.  ...  Developers can also benefit from this high level view by understanding how their work relates with each other and to the project as a whole.  ...  Thereby, a user is able to quickly discern the loci of activities from the height of the stacks and recency of these activities from their position.  ... 
doi:10.1109/vissof.2007.4290712 dblp:conf/vissoft/RipleySH07 fatcat:yh6qysybj5congqaufljjlunvm

Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis

Arnaud Delorme, Terrence Sejnowski, Scott Makeig
2007 NeuroImage  
artifacts of several types, ranging in size from thirty times smaller (-50 dB) to the size of the EEG data themselves (0 dB).  ...  Detecting artifacts produced in EEG data by muscle activity, eye blinks and electrical noise is a common and important problem in EEG research.  ...  ACKNOWLEDGEMENT This work was supported by a fellowship from the INRIA organization, by the Howard Hughes Foundation and the Swartz Foundation (Old Field, NY), and by the National Institutes of Health  ... 
doi:10.1016/j.neuroimage.2006.11.004 pmid:17188898 pmcid:PMC2895624 fatcat:h33zapbot5cxrlbpnxoqniqj5q

Automatic Removal of Artifacts from EEG Signal based on Spatially Constrained ICA using Daubechies Wavelet

Vandana Roy, Shailja Shukla
2014 International Journal of Modern Education and Computer Science  
As the next phase, level-4 daubechies wavelet db-4 is applied to extract the brain activity from purged artifacts, and lastly the artifacts are projected back and detracted from EEG signals to get clean  ...  The abolition of artifacts from scalp EEGs is of considerable implication for both the computerized and visual investigation of fundamental brainwave activities.  ...  After that, Wavelet Denoising is applied to extract the brain activities from purged artifacts, and finally project back the artifacts to be subtracted from EEG signals to get clean EEG data.  ... 
doi:10.5815/ijmecs.2014.07.05 fatcat:hwaksujbdnaype5ldjf3a45xi4

Motion and muscle artifact removal validation using an electrical head phantom, robotic motion platform, and dual layer mobile EEG

Natalie Richer, Ryan J. Downey, W. David Hairston, Daniel P. Ferris, Andrew D. Nordin
2020 IEEE transactions on neural systems and rehabilitation engineering  
needed to capture and remove motion artifacts, (2) the ability of Artifact Subspace Reconstruction to remove motion and muscle artifacts at contrasting artifact detection thresholds, (3) the number of  ...  We evaluated ground-truth electrocortical source signal recovery from artifact contaminated data using Independent Component Analysis (ICA) to determine: (1) the number of isolated noise sensor recordings  ...  To improve the use of EEG for mobile brain imaging, data collection and processing techniques should carefully isolate electrocortical activity from artifact sources.  ... 
doi:10.1109/tnsre.2020.3000971 pmid:32746290 fatcat:dlgs6ansabgojjz55mb5e3a4vq

Model-Based Project Process Analysis Using Project Tracking Data [chapter]

Kyung-A Yoon, Sang-Yoon Min, Doo-Hwan Bae
2004 Lecture Notes in Computer Science  
We also performed experimental case study by applying MPAF to real world industry projects.  ...  In software process improvement, accumulating and analyzing the historical data from past projects are essential work.  ...  In the example of Fig.2 , the artifact flows which are the direct arcs from design to design review activity and from design review to coding activity are created according to the project plan.  ... 
doi:10.1007/978-3-540-24675-6_14 fatcat:acgepza47fh3bcqu2m6dlxiko4
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