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Yin Fen Low
Universiti Teknikal Malaysia Melaka
36Publications
10H-index
299Citations
Publications 36
Newest
Last.Igor V. ZotovH-Index: 1
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#1Siaw-Hong LiewH-Index: 3
#2Yun-Huoy ChooH-Index: 5
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#1Yin Fen Low (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 10
#2Daniel J. Strauss (Saarland University)H-Index: 17
Last.Yun-Huoy Choo (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 5
view all 3 authors...
EEG recordings can noninvasively track with high temporal resolution the brain activity associated with different types of stimulus events. By analyzing changes in the event-related potentials (ERPs) as a function of the direction of attention, one can make inferences about the timing, level of processing, and anatomical location of stimulus selection processes in the brain. The scalp electrical potentials that produce EEG are thought to be generated by the extracellular ionic currents caused by...
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#1Jawad Hussain (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 3
#2Kenneth Sundaraj (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 15
Last.Md. Asraf Ali (Daffodil International University)H-Index: 6
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In recent years, many questions have been raised on the credibility of Electromyography (EMG) as a technique to evaluate muscle activity, particularly by sports and fitness community. This questioning goes farther when it comes to surface electromyography (sEMG). This paper covers an overview of EMG, addresses some basic concepts and provide rudiment for research. Muscle activity assessment through EMG has been reviewed in terms of the type of movements. There are few limitations to EMG but thes...
1 Citations
#1Siaw-Hong Liew (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 3
#2Yun-Huoy Choo (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 5
Last.Yin Fen Low (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 10
view all 3 authors...
Electroencephalograms (EEG) signals have very low signal-to-noise ratio, thus can be easily affected and changes over milliseconds. Normally, trials with excessive body movements or other types of artefacts with amplitude more than 100 µV should be discarded to reduce the noise stains. Scrapping the affected features is not advisable. Therefore, missing values imputation is essential to avoid incomplete data that may deteriorate the computational modelling performance. Hence, this paper proposes...
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#1Jawad Hussain (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 3
#2Kenneth Sundaraj (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 15
Last.Md. Asraf Ali (Daffodil International University)H-Index: 6
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Abstract Objective The objective of this research was to summarize and analyse the research findings regarding analysis of fatigue in the human triceps brachii (TB) muscle through surface electromyography (sEMG) observations. Methods We systematically searched through five major online scientific databases namely the PubMed, Science Direct, Wiley Online, Springer Link and SCOPUS databases, for articles written in the English language from the year 2001 to March 2017. We specifically searched for...
4 CitationsSource
#1Hernando Ombao (KAUST: King Abdullah University of Science and Technology)H-Index: 26
#2Mark Fiecas (UMN: University of Minnesota)H-Index: 11
Last.Yin Fen Low (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 10
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Abstract Most neuroscience cognitive experiments involve repeated presentations of various stimuli across several minutes or a few hours. It has been observed that brain responses, even to the same stimulus, evolve over the course of the experiment. These changes in brain activation and connectivity are believed to be associated with learning and/or habituation. In this paper, we present two general approaches to modeling dynamic brain connectivity using electroencephalograms (EEGs) recorded acr...
6 CitationsSource
#1Siaw-Hong Liew (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 3
#2Yun-Huoy Choo (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 5
Last.Zeratul Izzah Mohd Yusoh (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 6
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This paper proposes an Incremental Fuzzy-Rough Nearest Neighbour (IncFRNN) technique for biometric authentication modelling using feature extracted visual evoked. Only small training set is needed for model initialisation. The embedded heuristic update method adjusts the knowledge granules incrementally to maintain all representative electroencephalogram (EEG) signal patterns and eliminate those rarely used. It reshapes the personalized knowledge granules through insertion and deletion of a test...
3 CitationsSource
#1Siaw-Hong Liew (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 3
#2Yun-Huoy Choo (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 5
Last.Yin Fen Low (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 10
view all 4 authors...
This paper proposes an incremental learning approach to classify EEG signals for person authentication modelling. Biometric application receives only limited personal training data samples in practice. The knowledge granules that represent individual's biometric characteristics need to be updated from time to time, to ensure the authentication performance. This is even crucial when the initial personal data samples are not in good quality, i.e. contain noise. Hence, incremental update method in ...
Source
#1Wan Amirah W Azlan (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 1
#2Siaw Hong LiewH-Index: 1
Last.Yin Fen Low (UTeM: Universiti Teknikal Malaysia Melaka)H-Index: 10
view all 5 authors...
Nowadays, transcranial magnetic stimulation (TMS) has been used to treat major depression and migraine. Integrating transcranial magnetic stimulation and electroencephalogram (TMS - EEG) may provide beneficial information. This paper introduces the experimental design, experimental setup and experimental procedures to differentiate the repetitive transcranial magnetic stimulation (rTMS) and without TMS over N100 (N1) and P200 (P2) peaks with regards to auditory attention. New experimental design...
1 Citations
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