EEG Artifact Removal in TMS Studies of Cortical Speech Areas
Sign Up to like & getrecommendations! Published in 2019 at "Brain Topography"
DOI: 10.1007/s10548-019-00724-w
Abstract: The combination of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) is commonly applied for studying the effective connectivity of neuronal circuits. The stimulation excites neurons, and the resulting TMS-evoked potentials (TEPs) are recorded with EEG.… read more here.
Keywords: speech areas; artifact removal; muscle; tms ... See more keywords
Artifact Removal from Data Generated by Nonlinear Systems: Heart Rate Estimation from Blood Volume Pulse Signal
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b04824
Abstract: Artifacts are disturbances affecting a measured signal that are not originating from the process itself. This paper addresses the problem of heart rate (HR) monitoring from a photoplethysmography (PPG) sensor, where artifacts caused by body… read more here.
Keywords: artifact removal; heart rate; heart; signal ... See more keywords
Iterative image-domain ring artifact removal in cone-beam CT.
Sign Up to like & getrecommendations! Published in 2017 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aa7017
Abstract: Ring artifacts in cone beam computed tomography (CBCT) images are caused by pixel gain variations using flat-panel detectors, and may lead to structured non-uniformities and deterioration of image quality. The purpose of this study is… read more here.
Keywords: artifact removal; image; ring artifacts; ring artifact ... See more keywords
Integration Design of Portable ECG Signal Acquisition With Deep-Learning Based Electrode Motion Artifact Removal on an Embedded System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3178847
Abstract: For long-term electrocardiogram (ECG) signal monitoring, a portable and small size acquisition device with Bluetooth low energy (BLE) communication is designed and integrated with a Nvidia Jetson Xavier NX for realizing the electrode motion artifact… read more here.
Keywords: motion artifact; artifact removal; electrode motion; ecg signal ... See more keywords
PIE-ARNet: Prior Image Enhanced Artifact Removal Network for Limited-Angle DECT
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3221772
Abstract: Dual-energy computed tomography (DECT) is of great clinical significance because it can simultaneously visualize the internal structure of the scanned object and provide material-specific information. DECT obtains two attenuation measurements of the same object at… read more here.
Keywords: artifact removal; dect; pie arnet; prior image ... See more keywords
Adaptive Single-Channel EEG Artifact Removal With Applications to Clinical Monitoring
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3147072
Abstract: Electroencephalography (EEG) has become very common in clinical practice due to its relatively low cost, ease of installation, non-invasiveness, and good temporal resolution. Portable EEG devices are increasingly popular in clinical monitoring applications such as… read more here.
Keywords: method; single channel; channel eeg; clinical monitoring ... See more keywords
Deep learning-based motion artifact removal in functional near-infrared spectroscopy
Sign Up to like & getrecommendations! Published in 2022 at "Neurophotonics"
DOI: 10.1117/1.nph.9.4.041406
Abstract: Abstract. Significance: Functional near-infrared spectroscopy (fNIRS), a well-established neuroimaging technique, enables monitoring cortical activation while subjects are unconstrained. However, motion artifact is a common type of noise that can hamper the interpretation of fNIRS data.… read more here.
Keywords: spectroscopy; motion; motion artifact; deep learning ... See more keywords
Joint conditional generative adversarial networks for eyelash artifact removal in ultra-wide-field fundus images
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Cell and Developmental Biology"
DOI: 10.3389/fcell.2023.1181305
Abstract: Background: Ultra-Wide-Field (UWF) fundus imaging is an essential diagnostic tool for identifying ophthalmologic diseases, as it captures detailed retinal structures within a wider field of view (FOV). However, the presence of eyelashes along the edge… read more here.
Keywords: fundus; uwf fundus; artifact removal; fundus images ... See more keywords
Neurostimulation artifact removal for implantable sensors improves signal clarity and decoding of motor volition
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.1030207
Abstract: As the demand for prosthetic limbs with reliable and multi-functional control increases, recent advances in myoelectric pattern recognition and implanted sensors have proven considerably advantageous. Additionally, sensory feedback from the prosthesis can be achieved via… read more here.
Keywords: artifact removal; artifact; decoding motor; neurostimulation ... See more keywords