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Filters
Automated Filtering of Common-Mode Artifacts in Multichannel Physiological Recordings
2013
IEEE Transactions on Biomedical Engineering
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The removal of spatially correlated noise is an important step in processing multichannel recordings. ...
The ACAR is based on a combination of the well-known common average reference (CAR) and an adaptive noise canceling (ANC) filter. ...
Aaron Batista, Alan Degenhart, and others in their associated laboratories for providing the ECoG data used in this paper. The help of Dr. Stephen Foldes and Dr. ...
doi:10.1109/tbme.2013.2264722
pmid:23708770
pmcid:PMC4084824
fatcat:vhml2b7khvcxzdtqfdhfslful4
Review on Latest Multichannel EEG Acquisition and Artifact Filtering Methods
2016
International Journal of Computer Applications
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Significant artifacts a r e introduced in the recording of EEG signals which leads to unreliable results. ...
This paper reviews some of the important artifact removal techniques for performance enhancement. ...
The technique discussed using adaptive filtering takes care of most of artifacts for removal which reduces most of the common artifacts. ...
doi:10.5120/ijca2016907851
fatcat:cuxvsc4hf5er7ong6juckk6hda
Effective EEG Motion Artifact Removal with KS test Blind Source Separation and Wavelet Transform
2016
International Journal of Bio-Science and Bio-Technology
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Artifacts frequently corrupt biomedical signal recording and processing, therefore, removal of these artifacts from physiological signals is an essential step. ...
The input EEG is a single channel and is converted into multichannel using Ensemble Empirical Mode decomposition (EEMD) operations and further filtered with Independent Component Analysis and Double Density ...
The recorded samples are EEG samples contaminated by motion artifacts. Every recording is a single pair of similar psychological signals recorded in close proximity via transducers. ...
doi:10.14257/ijbsbt.2016.8.5.13
fatcat:fzuublechbcq7lxldou7pdf4he
Enhanced Empirical Mode DecompositionApproach toEliminateMotion Artifacts in EEG using ICA and DWT
2013
International Journal of Signal Processing, Image Processing and Pattern Recognition
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So elimination of artifacts from physiological signals is an essential step. ...
The single channel measurement is important when instrumentation complexity is needed to be minimized, in spite of many multichannel signals recording methods available.In this paper, an enhanced empirical ...
Conflict of Interests The authors declare that there is no conflict of interestsregarding the publication of this paper. ...
doi:10.14257/ijsip.2016.9.5.29
fatcat:owywl3jtnnearo2zv4knlacfzi
The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface
2010
IEEE Transactions on Biomedical Circuits and Systems
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The neural interface was validated in in vitro recording of a low-Mg 2+ /high-K + epileptic seizure model in an intact hippocampus of a mouse. ...
Index Terms-Brain, extracellular recording, hippocampus, implantable, multichannel neural recording, multichannel neural stimulation, neural amplifier, SAR analog-to-digital converter (ADC). ...
Among the common approaches are postprocessing of the recorded data and spectral cancelation of the artifact [51] as well as artifact subtraction by averaging [52] . ...
doi:10.1109/tbcas.2010.2041350
pmid:23853339
fatcat:h4fophb4nfgohdrhynccqpdyuq
An Experimental Analysis on EMG Artifact Removal Methods from EEG Signal Records
2022
Mathematical Statistician and Engineering Applications
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A crucial step is to eliminate distortions of EMG from EEG records. Singular Spectrum Analysis and Multimodal Empirical Mode Decomposition are two new methods for reducing EEG distortions. ...
Electromyography is the measurement of the muscle action prospective (MUAP) in many muscle tissue over time and space (EMG). ...
The main reason for this is that EMG artefact has large amplitude, a broad range, and a physiological pattern that renders numerous common artefact removal techniques ineffective. ...
doi:10.17762/msea.v71i1.43
fatcat:ag34q2mqsbarta3snvdk26srx4
PhysioScripts: An extensible, open source platform for the processing of physiological data
2012
Behavior Research Methods
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A commonality across research involving physiological measures is the need to process large amounts of data. ...
This article describes a new tool to aid in the processing of physiological data: PhysioScripts. ...
R01-HL089850 from the National Institutes of Health. The authors thank Elizabeth Mezick and Kristen Stedenfeld for testing early versions of the software. ...
doi:10.3758/s13428-012-0233-x
pmid:22956357
pmcid:PMC3767411
fatcat:ntmveq47vbgfvoinomqlpzax5i
Hemodynamics for Brain-Computer Interfaces
2008
IEEE Signal Processing Magazine
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A common approach to motion artifact removal in many brain scanning modalities is that of adaptive finite impulse response (FIR) filtering. ...
As with the pulse artifact, LMS and RMS adaptive FIR filters have been tested experimentally using modeled data. Table 1 lists the most common signal processing methods used in fNIRS. ...
doi:10.1109/msp.2008.4408445
fatcat:3yyiskg43jgolc5ze5xelazqzu
Multichannel ECG recording from waist using textile sensors
2020
BioMedical Engineering OnLine
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Their ability of providing unique capabilities in continuous, real-time, and non-invasive tracking of the physiological markers of users can provide insights into the performance and health of individuals ...
However, in engineering systems, sensor fusion, which is the optimal integration and processing of data from multiple sensors, has been a common theme and should be considered for wearables. ...
It is to be noted that all the ECG sensors in the multichannel ECG band provide a common signal. ...
doi:10.1186/s12938-020-00788-x
pmid:32546233
pmcid:PMC7296680
fatcat:msptejo7ybcdhlc4bqkadipi2a
ANSLAB: Integrated multichannel peripheral biosignal processing in psychophysiological science
2015
Behavior Research Methods
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Analysis software in this domain is often limited in its coverage of the signals from different physiological systems, and therefore only partially addresses these challenges. ...
ANSLAB also facilitates the analysis of long-term recordings from ambulatory assessment studies. ...
capable of reading in several of the most common data formats. ...
doi:10.3758/s13428-015-0665-1
pmid:26511369
fatcat:aqslvsf6qba2lpkjctjcsmflzy
Detection of Postictal Generalized Electroencephalogram Suppression: Random Forest Approach
2020
JMIR Medical Informatics
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A successful approach to automatic PGES detection must overcome computational challenges involved in the detection of subtle amplitude changes in EEG recordings, which may contain physiological and acquisition ...
Objective This study aimed to present a random forest approach for automatic PGES detection using multichannel human EEG recordings acquired in epilepsy monitoring units. ...
The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. ...
doi:10.2196/17061
pmid:32130173
pmcid:PMC7055778
fatcat:5jveawnljjdpzaxzob3bpgctba
DESIGNING OF THE ELECTRONIC COMPONENTS USED IN THE DEVICE FOR BIOMEDICAL SIGNALS MEASUREMENT
2018
Bulletin of TUIT: Management and Communication Technologies
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Electrocardiography (ECG) is a common technique for recording the electrical activity of human heart. ...
In this paper, it is analyzed various methods for removing the high and low frequency noise components from the ECG signal and evaluate the performance of several adaptive filtering algorithms. ...
Multichannel electrocardiographs record signals from two or more leads simultaneously and are frequently used in place of single-channel units. ...
doi:10.51348/tuitmct213
fatcat:daane4ve2rbxxagduvogasafze
A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal
2021
Brain Sciences
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The benefits of early detection and classification of epileptic seizures in analysis, monitoring and diagnosis for the realization and actualization of computer-aided devices and recent internet of medical ...
From our survey, much attention has recently been paid to exploring the efficacy of deep learning algorithms in seizure detection and classification, which are employed in other areas such as image processing ...
Artifacts can be divided into two groups: physiological and nonphysiological artifacts, as summarized in Table 2 . ...
doi:10.3390/brainsci11050668
pmid:34065473
fatcat:7ttq7opwgrb4tihs3doqkeoe44
Closed-loop, open-source electrophysiology
2010
Frontiers in Neuroscience
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The integrated system is capable of multi-electrode recording and simultaneous patterned microstimulation (triggered by recordings) with minimal stimulation artifact. ...
Despite promising closed-loop applications, commercial electrophysiology systems do not yet take advantage of the bidirectional capabilities of multi-electrodes, especially for use in freely moving animals ...
Open-source software has been common in neuroscience for decades. ...
doi:10.3389/fnins.2010.00031
pmid:20859448
pmcid:PMC2940414
fatcat:cmbu3jbsi5difdzq5eoacz6fue
Automated Bowel Sound Analysis: An Overview
2021
Sensors
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We aimed to briefly review the literature on BS recording and analysis, with an emphasis on the broad range of analytical approaches. ...
Clinical research on BS has exposed their important potential in the non-invasive diagnosis of irritable bowel syndrome, in surgery, and for the investigation of gastrointestinal motility. ...
In terms of analytics, Kölle et al. devised an intrinsic mode function-fractal dimension method for filtering artifacts, including the frequency range where BS typically occur [109] . ...
doi:10.3390/s21165294
pmid:34450735
pmcid:PMC8400220
fatcat:rfboptxlpfe5zp6ykuqkmz5viy
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