534 citations · 2k across the 96 of their papers we have counts for
16 papers · 1 filter
An iterative warping and clustering algorithm to estimate multiple wave-shape functions from a nonstationary oscillatory signal
Marcelo A. Colominas, Hau-Tieng Wu
Nonsinusoidal oscillatory signals are everywhere. In practice, the nonsinusoidal oscillatory pattern, modeled as a 1-periodic wave-shape function (WSF), might vary from cycle to cy…
An Efficient Forecasting Approach to Reduce Boundary Effects in Real-Time Time-Frequency Analysis
Adrien Meynard, Hau-Tieng Wu
Time-frequency (TF) representations of time series are intrinsically subject to the boundary effects. As a result, the structures of signals that are highlighted by the representat…
Decomposing non-stationary signals with time-varying wave-shape functions
Marcelo A. Colominas, Hau-Tieng Wu
Modern time series are usually composed of multiple oscillatory components, with time-varying frequency and amplitude contaminated by noise. The signal processing mission is furthe…
Denoising Click-evoked Otoacoustic Emission Signals by Optimal Shrinkage
Tzu-Chi Liu, Yi-Wen Liu, Hau-Tieng Wu
Click-evoked otoacoustic emissions (CEOAEs) are clinically used as an objective way to infer whether cochlear functions are normal. However, because the sound pressure level of CEO…
Current state of nonlinear-type time-frequency analysis and applications to high-frequency biomedical signals
Hau-Tieng Wu
Motivated by analyzing complicated time series, nonlinear-type time-frequency analysis became an active research topic in the past decades. Those developed tools have been applied…
When Ramanujan meets time-frequency analysis in complicated time series analysis
Ziyu Chen, Hau-Tieng Wu
To handle time series with complicated oscillatory structure, we propose a novel time-frequency (TF) analysis tool that fuses the short time Fourier transform (STFT) and periodic t…
An Adaptive QRS Detection Algorithm for Ultra-Long-Term ECG Recordings
John Malik, Elsayed Z Soliman, Hau-Tieng Wu
Background: Accurate detection of QRS complexes during mobile, ultra-long-term ECG monitoring is challenged by instances of high heart rate, dramatic and persistent changes in sign…
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification
Yu-Min Chung, Chuan-Shen Hu, Yu-Lun Lo +1
Persistent homology (PH) is a recently developed theory in the field of algebraic topology to study shapes of datasets. It is an effective data analysis tool that is robust to nois…
A Novel Feature Representation for Single-Channel Heartbeat Classification based on Adaptive Fourier Decomposition
Chunyu Tan, Liming Zhang, Hau-tieng Wu +1
This paper proposes a novel approach for heartbeat classification from single-lead electrocardiogram (ECG) signals based on the novel adaptive Fourier decomposition (AFD). AFD is a…
Explore intrinsic geometry of sleep dynamics and predict sleep stage by unsupervised learning techniques
Gi-Ren Liu, Yu-Lun Lo, Yuan-Chung Sheu +1
We propose a novel unsupervised approach for sleep dynamics exploration and automatic annotation by combining modern harmonic analysis tools. Specifically, we apply diffusion-based…
Transient-evoked otoacoustic emission signals predicting outcomes of acute sensorineural hearing loss in patients with Meniere's Disease
Yi-Wen Liu, Sheng-Lun Kao, Hau-Tieng Wu +3
Background: Fluctuating hearing loss is characteristic of Meniere's Disease (MD) during acute episodes. However, no reliable audiometric hallmarks are available for counselling the…
Recovery of the fetal electrocardiogram for morphological analysis from two trans-abdominal channels via optimal shrinkage
Pei-Chun Su, Stephen Miller, Salim Idriss +2
We propose a novel algorithm to recover fetal electrocardiogram (ECG) for both the fetal heart rate analysis and morphological analysis of its waveform from two or three trans-abdo…
Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators
Tal Shnitzer, Mirela Ben-Chen, Leonidas Guibas +2
Finding appropriate low dimensional representations of high-dimensional multi-modal data can be challenging, since each modality embodies unique deformations and interferences. In…
A Novel Blaschke Unwinding Adaptive Fourier Decomposition based Signal Compression Algorithm with Application on ECG Signals
Chunyu Tan, Liming Zhang, Hau-tieng Wu
This paper presents a novel signal compression algorithm based on the Blaschke unwinding adaptive Fourier decomposition (AFD). The Blaschke unwinding AFD is a newly developed signa…
Diffuse to fuse EEG spectra -- intrinsic geometry of sleep dynamics for classification
Gi-Ren Liu, Yu-Lun Lo, John Malik +2
We propose a novel algorithm for sleep dynamics visualization and automatic annotation by applying diffusion geometry based sensor fusion algorithm to fuse spectral information fro…
Analyzing transient-evoked otoacoustic emissions by concentration of frequency and time
Hau-tieng Wu, Yi-Wen Liu
The linear part of transient evoked (TE) otoacoustic emission (OAE) is thought to be generated via coherent reflection near the characteristic place of constituent wave components.…