User profiles for Sio Hang Pun
 | Sio Hang PunUniversity of Macau Verified email at umac.mo Cited by 1840 |
Economic dispatch model with fuzzy wind constraints and attitudes of dispatchers
The letter describes a new economic dispatch algorithm for systems with uncertain wind
generation prediction, similar to the classical thermal dispatch model with load on a single bus. …
generation prediction, similar to the classical thermal dispatch model with load on a single bus. …
A 0.83- QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35- CMOS
Healthcare electronics count on the effectiveness of the on-patient signal preprocessing unit
to moderate the wireless data transfer for better power efficiency. In order to reduce the …
to moderate the wireless data transfer for better power efficiency. In order to reduce the …
Quasi-static modeling of human limb for intra-body communications with experiments
… Sio Hang Pun received the Master degree in computer and electrical program from the
University of Porto, Porto, Portugal, in 1999. He is currently working toward the Ph.D. …
University of Porto, Porto, Portugal, in 1999. He is currently working toward the Ph.D. …
Single-channel selection for EEG-based emotion recognition using brain rhythm sequencing
Recently, electroencephalography (EEG) signals have shown great potential for emotion
recognition. Nevertheless, multichannel EEG recordings lead to redundant data, computational …
recognition. Nevertheless, multichannel EEG recordings lead to redundant data, computational …
15-nW Biopotential LPFs in 0.35- CMOS Using Subthreshold-Source-Follower Biquads With and Without Gain Compensation
… Sio-Hang Pun received the Master degree in computer and electrical program from the
University of Porto, Porto, Portugal, in 1999, and the Ph.D. degree in electrical and electronics …
University of Porto, Porto, Portugal, in 1999, and the Ph.D. degree in electrical and electronics …
[HTML][HTML] A low cost neuromorphic learning engine based on a high performance supervised SNN learning algorithm
Spiking neural networks (SNNs) are more energy- and resource-efficient than artificial neural
networks (ANNs). However, supervised SNN learning is a challenging task due to non-…
networks (ANNs). However, supervised SNN learning is a challenging task due to non-…
The masking impact of intra-artifacts in EEG on deep learning-based sleep staging systems: A comparative study
Elimination of intra-artifacts in EEG has been overlooked in most of the existing sleep staging
systems, especially in deep learning-based approaches. Whether intra-artifacts, originated …
systems, especially in deep learning-based approaches. Whether intra-artifacts, originated …
An integrated circuit for simultaneous extracellular electrophysiology recording and optogenetic neural manipulation
Objective: The ability to record and to control action potential firing in neuronal circuits is
critical to understand how the brain functions. The objective of this study is to develop a …
critical to understand how the brain functions. The objective of this study is to develop a …
Automatic detection pipeline for accessing the motor severity of Parkinson's disease in finger tapping and postural stability
Parkinson’s disease (PD) is a nervous disorder that can cause motor impairment. PD
severity assessment based on a series of motor movements illustrated in Unified Parkinson’s …
severity assessment based on a series of motor movements illustrated in Unified Parkinson’s …
Accelerating the phase demodulation process for heterodyne Φ-OTDR using spatial phase shifting
An effective orthogonal signal generation method for heterodyne-detection-based phase-sensitive
optical time-domain reflectometer systems is proposed to accelerate the phase …
optical time-domain reflectometer systems is proposed to accelerate the phase …