Hau-Tieng Wu

Professor

Courant Institute of Mathematical Sciences

United States

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Hau-Tieng Wu is a Professor at the Courant Institute of Mathematical Sciences in the United States. His research areas encompass photoplethysmography, sleep apnea testing using deep learning, and high-dimensional data analysis techniques. His recent publications include studies on facial perfusion assessment, heart rate variability in relation to cognitive function, and advanced methods for signal quality assessment in real-world environments.

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Collaborators (7)

Ciprian Crainiceanu

Professor

Johns Hopkins University

UNITED STATES

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Whitney Huang

Assistant Professor

Clemson University

UNITED STATES

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Elsayed Soliman

Director/Professor

Wake Forest School of Medicine

UNITED STATES

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Yu Guang Wang

Max Planck Institute for Mathematics in the Sciences

GERMANY

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Aymen Alian

Assistant professor of Anesthesia

Yale University

UNITED STATES

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Jennifer Deal

Associate Professor

Johns Hopkins University

UNITED STATES

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Jennifer Schrack

Associate Professor

Johns Hopkins University

UNITED STATES

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Hau-Tieng Wu

Research Interests

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About

Articles (24)

Data-driven optimal shrinkage of singular values under high-dimensional noise with separable covariance structure with application

Comparison of feature-based indices derived from photoplethysmogram recorded from different body locations during lower body negative pressure

Photoplethysmography imaging to assess facial perfusion under simulated hypovolemia

Validation of a fingertip home sleep apnea testing system using deep learning AI and a temporal event localization analysis

Gaussian approximation for the moving averaged modulus wavelet transform and its variants

Graph connection Laplacian allows for enhanced outcomes of consumer camera based photoplethysmography imaging

Unveil sleep spindles with concentration of frequency and time (ConceFT)

Associations of Physical Activity and Heart Rate Variability from a Two-Week ECG Monitor with Cognitive Function and Dementia: The ARIC Neurocognitive Study

Reconsider photoplethysmogram signal quality assessment in the free living environment

Unsupervised ensembling of multiple software sensors with phase synchronization: a robust approach for electrocardiogram-derived respiration

Topological data analysis assisted automated sleep stage scoring using airflow signals

Signal quality assessment of peripheral venous pressure

Impact of Signal-to-Noise Ratio and Bandwidth on Graph Laplacian Spectrum From High-Dimensional Noisy Point Cloud

Amplitude and phase measurements from harmonic analysis may lead to new physiologic insights: lower body negative pressure photoplethysmographic waveforms as an example

An Iterative Warping and Clustering Algorithm to Estimate Multiple Wave-Shape Functions From a Nonstationary Oscillatory Signal

Arterial blood pressure waveform in liver transplant surgery possesses variability of morphology reflecting recipients’ acuity and predicting short term outcomes

Application of de-shape synchrosqueezing to estimate gait cadence from a single-sensor accelerometer placed in different body locations

Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression

Graph based Gaussian processes on restricted domains

Improve concentration of frequency and time (ConceFT) by novel complex spherical designs

A new approach to complicated and noisy physiological waveforms analysis: peripheral venous pressure waveform as an example

Denoising click-evoked otoacoustic emission signals by optimal shrinkage

On the Spectral Property of Kernel-Based Sensor Fusion Algorithms of High Dimensional Data

An Efficient Forecasting Approach to Reduce Boundary Effects in Real-Time Time-Frequency Analysis

Collaborators (7)

Ciprian Crainiceanu

Whitney Huang

Elsayed Soliman

Yu Guang Wang

Aymen Alian

Jennifer Deal

Jennifer Schrack

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