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Publications of Hau-Tieng Wu    :chronological  alphabetical  combined  bibtex listing:

Papers Published

  1. Alagapan, S; Shin, HW; Fröhlich, F; Wu, H-T, Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography., Journal of Neural Engineering, vol. 16 no. 3 (June, 2019), pp. 036010 [doi]  [abs]
  2. Lu, Y; Wu, HT; Malik, J, Recycling cardiogenic artifacts in impedance pneumography, Biomedical Signal Processing and Control, vol. 51 (May, 2019), pp. 162-170 [doi]  [abs]
  3. Chen, H-Y; Pan, H-C; Chen, Y-C; Chen, Y-C; Lin, Y-H; Yang, S-H; Chen, J-L; Wu, H-T, Traditional Chinese medicine use is associated with lower end-stage renal disease and mortality rates among patients with diabetic nephropathy: a population-based cohort study., Bmc Complementary and Alternative Medicine, vol. 19 no. 1 (April, 2019), pp. 81 [doi]  [abs]
  4. Zhang, JT; Cheng, MY; Wu, HT; Zhou, B, A new test for functional one-way ANOVA with applications to ischemic heart screening, Computational Statistics & Data Analysis, vol. 132 (April, 2019), pp. 3-17, Elsevier BV [doi]  [abs]
  5. Tan, C; Zhang, L; Wu, H-T, A Novel Blaschke Unwinding Adaptive-Fourier-Decomposition-Based Signal Compression Algorithm With Application on ECG Signals., Ieee Journal of Biomedical and Health Informatics, vol. 23 no. 2 (March, 2019), pp. 672-682, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  6. Lo, YL; Wu, HT; Lin, YT; Kuo, HP; Lin, TY, Hypoventilation patterns during bronchoscopic sedation and their clinical relevance based on capnographic and respiratory impedance analysis, Journal of Clinical Monitoring and Computing (January, 2019) [doi]  [abs]
  7. Katz, O; Talmon, R; Lo, YL; Wu, HT, Alternating diffusion maps for multimodal data fusion, Information Fusion, vol. 45 (January, 2019), pp. 346-360, Elsevier BV [doi]  [abs]
  8. Lin, CY; Wu, HT, Embeddings of Riemannian manifolds with finite eigenvector fields of connection Laplacian, Calculus of Variations and Partial Differential Equations, vol. 57 no. 5 (October, 2018), Springer Nature America, Inc [doi]  [abs]
  9. Escalona-Vargas, D; Wu, H-T; Frasch, MG; Eswaran, H, A Comparison of Five Algorithms for Fetal Magnetocardiography Signal Extraction., Cardiovascular Engineering and Technology, vol. 9 no. 3 (September, 2018), pp. 483-487, Springer Nature [doi]  [abs]
  10. Malik, J; Lo, Y-L; Wu, H-T, Sleep-wake classification via quantifying heart rate variability by convolutional neural network., Physiological Measurement, vol. 39 no. 8 (August, 2018), pp. 085004, IOP Publishing [doi]  [abs]
  11. Wu, HT; Wu, JC; Huang, PC; Lin, TY; Wang, TY; Huang, YH; Lo, YL, Phenotype-based and self-learning inter-individual sleep apnea screening with a level IV-like monitoring system, Frontiers in Physiology, vol. 9 no. JUL (July, 2018), FRONTIERS MEDIA SA [doi]  [abs]
  12. Wu, HT; Liu, YW, Analyzing transient-evoked otoacoustic emissions by concentration of frequency and time, The Journal of the Acoustical Society of America, vol. 144 no. 1 (July, 2018), pp. 448-466, Acoustical Society of America (ASA) [doi]  [abs]
  13. Liu, TC; Wu, HT; Chen, YH; Fang, TY; Wang, PC; Liu, YW, Analysis of click-evoked otoacoustic emissions by concentration of frequency and time: Preliminary results from normal hearing and Ménière's disease ears, Aip Conference Proceedings, vol. 1965 (May, 2018), Author(s), ISBN 9780735416703 [doi]  [abs]
  14. Wu, H-T; Soliman, EZ, A new approach for analysis of heart rate variability and QT variability in long-term ECG recording., Biomedical Engineering Online, vol. 17 no. 1 (May, 2018), pp. 54 [doi]  [abs]
  15. Wu, JC; Wang, CW; Huang, YH; Wu, HT; Huang, PC; Lo, YL, A Portable Monitoring System with Automatic Event Detection for Sleep Apnea Level-IV Evaluation, Proceedings Ieee International Symposium on Circuits and Systems, vol. 2018-May (April, 2018), ISBN 9781538648810 [doi]  [abs]
  16. Lin, CY; Su, L; Wu, HT, Wave-Shape Function Analysis: When Cepstrum Meets Time–Frequency Analysis, Journal of Fourier Analysis and Applications, vol. 24 no. 2 (April, 2018), pp. 451-505, Springer Nature [doi]  [abs]
  17. Shen, C; Frasch, MG; Wu, HT; Herry, CL; Cao, M; Desrochers, A; Fecteau, G; Burns, P, Non-invasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets., Physiological Measurement, vol. 39 no. 3 (March, 2018), pp. 035005 [doi]  [abs]
  18. Frasch, MG; Lobmaier, SM; Stampalija, T; Desplats, P; Pallarés, ME; Pastor, V; Brocco, MA; Wu, HT; Schulkin, J; Herry, CL; Seely, AJE; Metz, GAS; Louzoun, Y; Antonelli, MC, Non-invasive biomarkers of fetal brain development reflecting prenatal stress: An integrative multi-scale multi-species perspective on data collection and analysis, Neuroscience and Biobehavioral Reviews (January, 2018) [doi]  [abs]
  19. Wu, HT; Wu, N, Think globally, fit locally under the manifold setup: Asymptotic analysis of locally linear embedding, The Annals of Statistics, vol. 46 no. 6B (January, 2018), pp. 3805-3837, Institute of Mathematical Statistics [doi]  [abs]
  20. Talmon, R; Wu, HT, Latent common manifold learning with alternating diffusion: Analysis and applications, Applied and Computational Harmonic Analysis (January, 2018), Elsevier BV [doi]  [abs]
  21. Kowalski, M; Meynard, A; Wu, HT, Convex Optimization approach to signals with fast varying instantaneous frequency, Applied and Computational Harmonic Analysis, vol. 44 no. 1 (January, 2018), pp. 89-122, Elsevier BV [doi]  [abs]
  22. Wu, H-K; Ko, Y-S; Lin, Y-S; Wu, H-T; Tsai, T-H; Chang, H-H, Corrigendum to "The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine" [Complementary Ther. Med. 30 (2017) 107-112]., Complementary Therapies in Medicine, vol. 35 (December, 2017), pp. 145 [doi]
  23. Lin, YY; Wu, HT; Hsu, CA; Huang, PC; Huang, YH; Lo, YL, Sleep Apnea Detection Based on Thoracic and Abdominal Movement Signals of Wearable Piezoelectric Bands, Ieee Journal of Biomedical and Health Informatics, vol. 21 no. 6 (November, 2017), pp. 1533-1545, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  24. Chao, Y-S; Wu, H-T; Scutari, M; Chen, T-S; Wu, C-J; Durand, M; Boivin, A, A network perspective on patient experiences and health status: the Medical Expenditure Panel Survey 2004 to 2011., Bmc Health Services Research, vol. 17 no. 1 (August, 2017), pp. 579 [doi]  [abs]
  25. Lin, T-Y; Fang, Y-F; Huang, S-H; Wang, T-Y; Kuo, C-H; Wu, H-T; Kuo, H-P; Lo, Y-L, Capnography monitoring the hypoventilation during the induction of bronchoscopic sedation: A randomized controlled trial., Scientific Reports, vol. 7 no. 1 (August, 2017), pp. 8685 [doi]  [abs]
  26. Georgiou, AS; Bello-Rivas, JM; Gear, CW; Wu, HT; Chiavazzo, E; Kevrekidis, IG, An exploration algorithm for stochastic simulators driven by energy gradients, Entropy, vol. 19 no. 7 (July, 2017), pp. 294-294, MDPI AG [doi]  [abs]
  27. Malik, J; Reed, N; Wang, C-L; Wu, H-T, Single-lead f-wave extraction using diffusion geometry., Physiological Measurement, vol. 38 no. 7 (June, 2017), pp. 1310-1334 [doi]  [abs]
  28. Sheu, Y-L; Hsu, L-Y; Chou, P-T; Wu, H-T, Entropy-based time-varying window width selection for nonlinear-type time–frequency analysis, International Journal of Data Science and Analytics, vol. 3 no. 4 (June, 2017), pp. 231-245, Springer Nature [doi]
  29. Herry, CL; Frasch, M; Seely, AJ; Wu, H-T, Heart beat classification from single-lead ECG using the synchrosqueezing transform., Physiological Measurement, vol. 38 no. 2 (February, 2017), pp. 171-187 [doi]  [abs]
  30. Wu, H-K; Ko, Y-S; Lin, Y-S; Wu, H-T; Tsai, T-H; Chang, H-H, The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine., Complementary Therapies in Medicine, vol. 30 (February, 2017), pp. 107-112 [doi]  [abs]
  31. Wu, HT, Embedding Riemannian manifolds by the heat kernel of the connection Laplacian, Advances in Mathematics, vol. 304 (January, 2017), pp. 1055-1079, Elsevier BV [doi]  [abs]
  32. Coifman, RR; Steinerberger, S; Wu, HT, Carrier frequencies, holomorphy. And unwinding, Siam Journal on Mathematical Analysis, vol. 49 no. 6 (January, 2017), pp. 4838-4864, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  33. Li, R; Frasch, MG; Wu, H-T, Efficient Fetal-Maternal ECG Signal Separation from Two Channel Maternal Abdominal ECG via Diffusion-Based Channel Selection., Frontiers in Physiology, vol. 8 (January, 2017), pp. 277 [doi]  [abs]
  34. Frasch, MG; Boylan, GB; Wu, H-T; Devane, D, Commentary: Computerised interpretation of fetal heart rate during labour (INFANT): a randomised controlled trial., Frontiers in Physiology, vol. 8 (January, 2017), pp. 721 [doi]
  35. Cicone, A; Wu, H-T, How Nonlinear-Type Time-Frequency Analysis Can Help in Sensing Instantaneous Heart Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way., Frontiers in Physiology, vol. 8 (January, 2017), pp. 701 [doi]  [abs]
  36. Liu, W-T; Wu, H-T; Juang, J-N; Wisniewski, A; Lee, H-C; Wu, D; Lo, Y-L, Prediction of the severity of obstructive sleep apnea by anthropometric features via support vector machine., Plos One, vol. 12 no. 5 (January, 2017), pp. e0176991 [doi]  [abs]
  37. Lin, Y-T; Wu, H-T, ConceFT for Time-Varying Heart Rate Variability Analysis as a Measure of Noxious Stimulation During General Anesthesia., Ieee Transactions on Bio Medical Engineering, vol. 64 no. 1 (January, 2017), pp. 145-154 [doi]  [abs]
  38. Wu, C-H; Wang, T-D; Hsieh, C-H; Huang, S-H; Lin, J-W; Hsu, S-C; Wu, H-T; Wu, Y-M; Liu, T-M, Imaging Cytometry of Human Leukocytes with Third Harmonic Generation Microscopy., Scientific Reports, vol. 6 no. 1 (November, 2016), pp. 37210 [doi]  [abs]
  39. Marchesini, S; Tu, YC; Wu, HT, Alternating projection, ptychographic imaging and phase synchronization, Applied and Computational Harmonic Analysis, vol. 41 no. 3 (November, 2016), pp. 815-851, Elsevier BV [doi]  [abs]
  40. Wu, H-T; Lewis, GF; Davila, MI; Daubechies, I; Porges, SW, Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform., Methods of Information in Medicine, vol. 55 no. 5 (October, 2016), pp. 463-472 [doi]  [abs]
  41. Lin, Y-T; Flandrin, P; Wu, H-T, When Interpolation-Induced Reflection Artifact Meets Time-Frequency Analysis., Ieee Transactions on Bio Medical Engineering, vol. 63 no. 10 (October, 2016), pp. 2133-2141 [doi]  [abs]
  42. O'Neal, WT; Wang, YG; Wu, H-T; Zhang, Z-M; Li, Y; Tereshchenko, LG; Estes, EH; Daubechies, I; Soliman, EZ, Electrocardiographic J Wave and Cardiovascular Outcomes in the General Population (from the Atherosclerosis Risk In Communities Study)., The American Journal of Cardiology, vol. 118 no. 6 (September, 2016), pp. 811-815 [doi]  [abs]
  43. Chui, CK; Lin, YT; Wu, HT, Real-Time dynamics acquisition from irregular samples-With application to anesthesia evaluation, Analysis and Applications, vol. 14 no. 4 (July, 2016), pp. 537-590, World Scientific Pub Co Pte Lt [doi]  [abs]
  44. Daubechies, I; Wang, YG; Wu, H-T, ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform., Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences, vol. 374 no. 2065 (April, 2016), pp. 20150193 [doi]  [abs]
  45. El Karoui, N; Wu, HT, Graph connection Laplacian methods can be made robust to noise, The Annals of Statistics, vol. 44 no. 1 (February, 2016), pp. 346-372, Institute of Mathematical Statistics [doi]  [abs]
  46. Herry, CL; Cortes, M; Wu, H-T; Durosier, LD; Cao, M; Burns, P; Desrochers, A; Fecteau, G; Seely, AJE; Frasch, MG, Temporal Patterns in Sheep Fetal Heart Rate Variability Correlate to Systemic Cytokine Inflammatory Response: A Methodological Exploration of Monitoring Potential Using Complex Signals Bioinformatics., Plos One, vol. 11 no. 4 (January, 2016), pp. e0153515 [doi]  [abs]
  47. Wu, H-T; Wu, H-K; Wang, C-L; Yang, Y-L; Wu, W-H; Tsai, T-H; Chang, H-H, Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform., Plos One, vol. 11 no. 6 (January, 2016), pp. e0157135 [doi]  [abs]
  48. Vatter, T; Wu, HT; Chavez-Demoulin, V; Yu, B, Non-parametric estimation of intraday spot volatility: Disentangling instantaneous trend and seasonality, Econometrics, vol. 3 no. 4 (December, 2015), pp. 864-887 [doi]  [abs]
  49. Sheu, Y-L; Wu, H-T; Hsu, L-Y, Exploring laser-driven quantum phenomena from a time-frequency analysis perspective: a comprehensive study., Optics Express, vol. 23 no. 23 (November, 2015), pp. 30459-30482 [doi]  [abs]
  50. Wu, H-T; Talmon, R; Lo, Y-L, Assess sleep stage by modern signal processing techniques., Ieee Transactions on Bio Medical Engineering, vol. 62 no. 4 (April, 2015), pp. 1159-1168 [doi]  [abs]
  51. Wu, HT; Baudin, F; Frasch, MG; Emeriaud, G, Respiratory variability during NAVA ventilation in children: Authors' reply, Frontiers in Pediatrics, vol. 3 no. FEB (February, 2015) [doi]
  52. Wang, YG; Wu, H-T; Daubechies, I; Li, Y; Estes, EH; Soliman, EZ, Automated J wave detection from digital 12-lead electrocardiogram., Journal of Electrocardiology, vol. 48 no. 1 (January, 2015), pp. 21-28 [doi]  [abs]
  53. Lederman, RR; Talmon, R; Wu, HT; Lo, YL; Coifman, RR, Alternating diffusion for common manifold learning with application to sleep stage assessment, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2015-August (January, 2015), pp. 5758-5762, IEEE, ISBN 9781467369978 [doi]  [abs]
  54. Lederman, RR; Talmon, R; Wu, H-T; Lo, Y-L; Coifman, RR; IEEE,, ALTERNATING DIFFUSION FOR COMMON MANIFOLD LEARNING WITH APPLICATION TO SLEEP STAGE ASSESSMENT, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (2015), pp. 5758-5762
  55. Baudin, F; Wu, HT; Bordessoule, A; Beck, J; Jouvet, P; Frasch, MG; Emeriaud, G, Impact of ventilatory modes on the breathing variability in mechanically ventilated infants, Frontiers in Pediatrics, vol. 2 no. NOV (November, 2014) [doi]  [abs]
  56. Sheu, YL; Hsu, LY; Wu, HT; Li, PC; Chu, SI, A new time-frequency method to reveal quantum dynamics of atomic hydrogen in intense laser pulses: Synchrosqueezing transform, Aip Advances, vol. 4 no. 11 (November, 2014), pp. 117138-117138, AIP Publishing [doi]  [abs]
  57. Wu, H-T; Hseu, S-S; Bien, M-Y; Kou, YR; Daubechies, I, Evaluating physiological dynamics via synchrosqueezing: prediction of ventilator weaning., Ieee Transactions on Bio Medical Engineering, vol. 61 no. 3 (March, 2014), pp. 736-744 [doi]  [abs]
  58. Wu, HT; Chan, YH; Lin, YT; Yeh, YH, Using synchrosqueezing transform to discover breathing dynamics from ECG signals, Applied and Computational Harmonic Analysis, vol. 36 no. 2 (March, 2014), pp. 354-359, Elsevier BV [doi]  [abs]
  59. Lin, Y-T; Wu, H-T; Tsao, J; Yien, H-W; Hseu, S-S, Time-varying spectral analysis revealing differential effects of sevoflurane anaesthesia: non-rhythmic-to-rhythmic ratio., Acta Anaesthesiologica Scandinavica, vol. 58 no. 2 (February, 2014), pp. 157-167 [doi]  [abs]
  60. Chen, YC; Cheng, MY; Wu, HT, Non-parametric and adaptive modelling of dynamic periodicity and trend with heteroscedastic and dependent errors, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 76 no. 3 (January, 2014), pp. 651-682, WILEY [doi]  [abs]
  61. Marchesini, S; Schirotzek, A; Yang, C; Wu, HT; Maia, F, Augmented projections for ptychographic imaging, Inverse Problems, vol. 29 no. 11 (November, 2013), pp. 115009-115009, IOP Publishing [doi]  [abs]
  62. Wu, HT, Instantaneous frequency and wave shape functions (I), Applied and Computational Harmonic Analysis, vol. 35 no. 2 (September, 2013), pp. 181-199, Elsevier BV [doi]  [abs]
  63. Thakur, G; Brevdo, E; Fučkar, NS; Wu, HT, The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications, Signal Processing, vol. 93 no. 5 (May, 2013), pp. 1079-1094, Elsevier BV [doi]  [abs]
  64. Cheng, MY; Wu, HT, Local linear regression on manifolds and its geometric interpretation, Journal of the American Statistical Association, vol. 108 no. 504 (January, 2013), pp. 1421-1434, Informa UK Limited [doi]  [abs]
  65. Auger, F; Flandrin, P; Lin, YT; McLaughlin, S; Meignen, S; Oberlin, T; Wu, HT, Time-frequency reassignment and synchrosqueezing: An overview, Ieee Signal Processing Magazine, vol. 30 no. 6 (January, 2013), pp. 32-41, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  66. Wang, Y-M; Wu, H-T; Huang, E-Y; Kou, YR; Hseu, S-S, Heart rate variability is associated with survival in patients with brain metastasis: a preliminary report., Biomed Research International, vol. 2013 (January, 2013), pp. 503421 [doi]  [abs]
  67. Singer, A; Wu, H-T, Two-Dimensional Tomography from Noisy Projections Taken at Unknown Random Directions., Siam Journal on Imaging Sciences, vol. 6 no. 1 (January, 2013), pp. 136-175 [doi]  [abs]
  68. Singer, A; Wu, H-T, Vector Diffusion Maps and the Connection Laplacian., Communications on Pure and Applied Mathematics, vol. 65 no. 8 (August, 2012) [doi]  [abs]
  69. Thakur, G; Wu, HT, Synchrosqueezing-based recovery of instantaneous frequency from nonuniform samples, Siam Journal on Mathematical Analysis, vol. 43 no. 5 (November, 2011), pp. 2078-2095, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  70. Singer, A; Wu, H-T, Orientability and Diffusion Maps., Applied and Computational Harmonic Analysis, vol. 31 no. 1 (July, 2011), pp. 44-58 [doi]  [abs]
  71. Wu, HT; Flandrin, P; Daubechies, I, One or two frequencies? the synchrosqueezing answers, Advances in Adaptive Data Analysis, vol. 3 no. 1-2 (April, 2011), pp. 29-39, World Scientific Pub Co Pte Lt [doi]  [abs]
  72. Daubechies, I; Lu, J; Wu, H-T, Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool, Applied and Computational Harmonic Analysis, vol. 30 no. 2 (March, 2011), pp. 243-261, Elsevier BV [doi]  [abs]
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