M
Mang I Vai
Researcher at University of Macau
Publications - 206
Citations - 2728
Mang I Vai is an academic researcher from University of Macau. The author has contributed to research in topics: Computer science & Signal. The author has an hindex of 21, co-authored 181 publications receiving 2193 citations. Previous affiliations of Mang I Vai include University of Hong Kong.
Papers
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Journal ArticleDOI
Individual alpha neurofeedback training effect on short term memory
Wenya Nan,João M. F. Rodrigues,Jiali Ma,Xiaoting Qu,Feng Wan,Pui-In Mak,Peng Un Mak,Mang I Vai,Agostinho Rosa,Agostinho Rosa +9 more
TL;DR: Experimental results showed that the participants were able to learn to increase the relative amplitude in individual alpha band during NFT and short term memory performance was significantly enhanced by 20 sessions of NFT.
BookDOI
Wavelet analysis and applications
TL;DR: In this article, the authors proposed a Wavelet-Domain Hidden Markov Tree model with localized parameters for image denoising, based on the Clifford Fourier Transform (CFT).
Journal ArticleDOI
On an automatic delineator for arterial blood pressure waveforms
TL;DR: The presented delineator characterizes arterial blood pressure waveforms in a beat-by-beat manner, and firstly seeks the pairs of inflection and zero-crossing points, and then utilizes combinatorial amplitude and interval criteria to select the onset and systolic peak.
Proceedings ArticleDOI
Implementation of SSVEP based BCI with Emotiv EPOC
TL;DR: SSVEP based BCI through Emotiv EPOC is implemented and the online experiments have the accuracy of 95.83±3.59 % and the information transfer rate (ITR) with 22.85±1.85 bits/min.
Journal ArticleDOI
A 0.83- $\mu {\rm W}$ QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35- $\mu{\rm m}$ CMOS
Chio-In Ieong,Pui-In Mak,Chi-Pang Lam,Cheng Dong,Mang I Vai,Peng Un Mak,Sio Hang Pun,Feng Wan,Rui P. Martins +8 more
TL;DR: An on-patient QRS detection processor for arrhythmia monitoring extracts the concerned ECG part, i.e., the RR-interval between the QRS complex for evaluating the heart rate variability, and exhibits 6× reduction of system power over modes 2 and 3.