Article: Recent submissions
Now showing items 21-31 of 31
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A 13µW 87dB dynamic range implantable ΔΣ modulator for full-spectrum neural recording
(IEEE, 2013-09-26)Experiment analysis on in-vivo data sequences suggests a wide system dynamic range (DR) is required to simultaneously record local field potentials (LFPs), extra-cellular spikes, and artifacts/interferences. In this paper, ... -
Emotion classification using single-channel scalp-EEG recording
(IEEE, 2016-10-18)Several studies have found evidence for corticolimbic Theta electroencephalographic (EEG) oscillation in the neural processing of visual stimuli perceived as fear or threatening scene. Recent studies showed that neural ... -
Methods for Artifact Detection and Removal from Scalp EEG: A Review
(Elsevier, 2016-10-15)Electroencephalography (EEG) is the most popular brain activity recording technique used in wide range of applications. One of the commonly faced problems in EEG recordings is the presence of artifacts that come from sources ... -
A Self-Organizing Diffusion Mobile Adaptive Network for Pursuing a Target
(Scientific & Academic Publishing, 2016)In this paper we focus on designing self-organizing diffusion mobile adaptive networks where the individual agents are allowed to move in pursuit of an target. The well-known Adapt-then-Combine (ATC) algorithm is already ... -
Steady-State Tracking Analysis of Adaptive Filter With Maximum Correntropy Criterion
(Springer, 2016-08-03)This letter studies the tracking performance of a stochastic gradient-based adaptive algorithm, namely the maximum correntropy criterion algorithm, where a random walk is used to model the non-stationarity. In our analysis, ... -
Frequency Estimation of Unbalanced Three-Phase Power Systems Using the Modified Adaptive Filtering
(Scientific & Academic Publishing, 2015-08)In this paper, the problem of frequency estimation using adaptive filters is addressed based on the augmented complex normalized least mean squares (ACNLMS) technique. In other words, motivated from ACLMS technique, a new ... -
The Journey of Elastography: Background, Current Status and Future Possibilities in Breast Cancer Diagnosis
(Elsevier, 2015)Elastography is a promising way to assess tissue differences regarding stiffness or elasticity for what was historically assessed manually by palpation. Combined with conventional imaging modalities (eg, ultrasonography ... -
Artifact Characterization and Removal for In-Vivo Neural Recording
(Elsevier, 2014-04-15)Background: In vivo neural recordings are often corrupted by different artifacts, especially in a less-constrained recording environment. Due to limited understanding of the artifacts appeared in the in vivo neural data, ... -
Artifact Characterization, Detection and Removal from Neural Signals
(National University of Singapore, 2015-12)Artifact detection and removal are important preprocessing steps for neural recordings to decode the neural signals properly and currently an active research problem. In this thesis, for the first time, artifacts found in ... -
A Wavelet-Based Artifact Reduction from Scalp EEG for Epileptic Seizure Detection
(IEEE, 2015-07-15)This paper presents a method to reduce artifacts from scalp EEG recordings to facilitate seizure diagnosis/detection for epilepsy patients. The proposed method is primarily based on stationary wavelet transform and takes ... -
A High Performance Delta-Sigma Modulator for Neurosensing
(Sensors, 2015-08-07)Recorded neural data are frequently corrupted by large amplitude artifacts that are triggered by a variety of sources, such as subject movements, organ motions, electromagnetic interferences and discharges at the electrode ...
