Kihwan Ju
State University of New York System
17 Papers
87 Citations
Kihwan Ju is an academic researcher from State University of New York System. The author has contributed to research in topics: Autoregressive model & Nonlinear system. The author has an hindex of 14, co-authored 17 publications. Previous affiliations of Kihwan Ju include City University of New York & Stony Brook University.
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Papers
Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information
TL;DR: The results indicate that PPGV could be used as an alternative measurement of HRV, and demonstrate that the parameters of PPGv are highly correlated with the parametersof HRV.
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Estimation of Respiratory Rate From Photoplethysmogram Data Using Time–Frequency Spectral Estimation
TL;DR: A new method that uses the pulse oximeter signal to estimate the respiratory rate using a recently developed time-frequency spectral estimation method, variable-frequency complex demodulation (VFCDM), to identify frequency modulation (FM) of the photoplethysmogram waveform.
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Estimation of time-varying coherence function using time-varying transfer functions.
TL;DR: The proposed approach provides higher time-frequency resolution TVCF than afforded by the short time Fourier transform based TVCF, and demonstrates the feasibility and efficacy of the proposed approach.
42
Multiple time-varying dynamic analysis using multiple sets of basis functions
TL;DR: Application of the proposed approach to blood pressure data likewise indicate better tracking capability of the two sets of basis function than the recursive least squares or a single set of basis functions.
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Time-Varying Causal Coherence Function and Its Application to Renal Blood Pressure and Blood Flow Data
TL;DR: Both theoretical derivations and experimental data showed that in certain cases, the calculation of the traditional TVCF was inappropriate when the system under investigation was a causal system, and valuable insights are provided into the composition of the physical structure of the renal auto regulatory system.
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