534 citations · 2k across the 96 of their papers we have counts for
12 papers · 1 filter
Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography
Sankaraleengam Alagapan, Hae Won Shin, Flavio Frohlich +1
Cortical oscillations, electrophysiological activity patterns, associated with cognitive functions and impaired in many psychiatric disorders can be observed in intracranial electr…
Recycling cardiogenic artifacts in impedance pneumography
Yao Lu, Hau-tieng Wu, John Malik
Purpose: Biomedical sensors often exhibit cardiogenic artifacts which, while distorting the signal of interest, carry useful hemodynamic information. We propose an algorithm to rem…
When Locally Linear Embedding Hits Boundary
Hau-tieng Wu, Nan Wu
Based on the Riemannian manifold model, we study the asymptotic behavior of a widely applied unsupervised learning algorithm, locally linear embedding (LLE), when the point cloud i…
Solving Jigsaw Puzzles By the Graph Connection Laplacian
Vahan Huroyan, Gilad Lerman, Hau-Tieng Wu
We propose a novel mathematical framework to address the problem of automatically solving large jigsaw puzzles. This problem assumes a large image, which is cut into equal square p…
Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data
Yu-Ting Lin, Yu-Lun Lo, Chen-Yun Lin +2
Object: It is increasingly popular to collect as much data as possible in the hospital setting from clinical monitors for research purposes. However, in this setup the data calibra…
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…
Can a composite heart rate variability biomarker shed new insights about autism spectrum disorder in school-aged children?
Martin G Frasch, Chao Shen, Hau-Tieng Wu +5
High-frequency heart rate variability (HRV) has identified parasympathetic nervous system alterations in autism spectrum disorder (ASD). In a cohort of school-aged children with an…
Sleep-wake classification via quantifying heart rate variability by convolutional neural network
John Malik, Yu-Lun Lo, Hau-tieng Wu
Fluctuations in heart rate are intimately tied to changes in the physiological state of the organism. We examine and exploit this relationship by classifying a human subject's wake…
On Zeroes of Random Polynomials and Applications to Unwinding
Stefan Steinerberger, Hau-tieng Wu
Let be a probability measure in with a continuous and compactly supported density function, let be independent random variables, , an…
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…
Phenotype-based and Self-learning Inter-individual Sleep Apnea Screening with a Level IV Monitoring System
Hau-Tieng Wu, Jhao-Cheng Wu, Po-Chiun Huang +4
Purpose: We propose a phenotype-based artificial intelligence system that can self-learn and is accurate for screening purposes, and test it on a Level IV monitoring system. Method…