Chen Lin

Prof. Chen Lin

Associate professor
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 April 2011 in PLOS ONE
Verified
Journal Article
Open access
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YHYi-Lwun Ho
Yi-Lwun Ho
CLChen Lin
Chen Lin
YLYen-Hung Lin
Yen-Hung Lin
Men-Tzung LoMen-Tzung Lo
Men-Tzung Lo
The influences of nonstationarity and nonlinearity on heart rate time series can be mathematically qualified or quantified by multiscale entropy (MSE). The aim of this study is to investigate the prognostic value of parameters derived from MSE in the patients with systolic heart failure. Patients with systolic heart failure were enrolled in this study. One month after clinical condition being stable, 24-hour Holter electrocardiogram was recording. MSE as well as other standard parameters of heart rate variability (HRV) and detrended fluctuation analysis (DFA) were assessed. A total of 40 heart failure patients with a mea age of 56±16 years were enrolled and followed-up for 684±441 days. There were 25 patients receiving β-blockers treatment. During follow-up period, 6 patients died or received urgent heart transplantation. The short-term exponent of DFA and the slope of MSE between scale 1 to 5 were significantly different between patients with or without β-blockers (p = 0.014 and p = 0.028). Only the area under the MSE curve for scale 6 to 20 (Area6–20) showed the strongest predictive power between survival (n = 34) and mortality (n = 6) groups among all the parameters. The value of Area6–20 21.2 served as a significant predictor of mortality or heart transplant (p = 0.0014). The area under the MSE curve for scale 6 to 20 is not relevant to β-blockers and could further warrant independent risk stratification for the prognosis of CHF patients.

23 April 2013 in PLOS ONE
Verified
Journal Article
Open access
PDF file
YLYu-Chen Liu
Yu-Chen Liu
CHChi-Sheng Hung
Chi-Sheng Hung
YWYen-Wen Wu
Yen-Wen Wu
YLYi-Chin Lee
Yi-Chin Lee
YLYen-Hung Lin
Yen-Hung Lin
CCChien-Hung Chen
Chien-Hung Chen
Background Non-alcoholic fatty liver disease (NAFLD) is associated with cardiovascular atherosclerosis independent of classical risk factors. This study investigated the influence of NAFLD on autonomic changes, which is currently unknown. Methods Subjects without an overt history of cardiovascular disease were enrolled during health checkups. The subjects diagnosed for NAFLD using ultrasonography underwent 5-min heart rate variability (HRV) measurements that was analyzed using the following indices: (1) the time domain with the standard deviation of N-N (SDNN) intervals and root mean square of successive differences between adjacent N-N intervals (rMSSD); (2) the frequency domain with low frequency (LF) and high frequency (HF) components; and (3) symbolic dynamics analysis. Routine blood biochemistry data and serum leptin levels were analyzed. Homeostasis model assessment of insulin resistance (HOMA-IR) was measured. Results Of the 497 subjects (mean age, 46.2 years), 176 (35.4%) had NAFLD. The HRV indices (Ln SDNN, Ln rMSSD, Ln LF, and Ln HF) were significantly decreased in the NAFLD group (3.51 vs 3.62 ms, 3.06 vs 3.22 ms, 5.26 vs 5.49 ms 2 , 4.49 vs 5.21 ms 2 , respectively, all P <0.05). Ln SDNN was significantly lower in the NAFLD group after adjustment for age, sex, hypertension, dyslipidemia, metabolic syndrome, body mass index, smoking, estimated glomerular filtration rate, HOMA-IR, and leptin ( P <0.05). In the symbolic dynamic analysis, 0 V percentage was significantly higher in the NAFLD group (33.8% vs 28.7%, P = 0.001) and significantly correlated with linear HRV indices (Ln SDNN, Ln rMSSD, and Ln HF). Conclusions NAFLD is associated with decreased Ln SDNN and increased 0 V percentage. The former association was independent of conventional cardiovascular risk factors and serum biomarkers (insulin resistance and leptin). Further risk stratification of autonomic dysfunction with falls or cardiovascular diseases by these HRV parameters is required in patients with NAFLD.

1 October 2013 in Circulation: Arrhythmia and Electrophysiology
Verified
Journal Article
Closed access
YLYenn-Jiang Lin
Yenn-Jiang Lin
MLMen-Tzung Lo
Men-Tzung Lo
CLChen Lin
Chen Lin
SCShih-Lin Chang
Shih-Lin Chang
LLLi-Wei Lo
Li-Wei Lo
RFRoberto Ferrari
Roberto Ferrari
Background—: Identification of critical atrial substrates in patients with nonparoxysmal atrial fibrillation (AF) failing to respond to pulmonary vein isolation is important. This study investigated the signal characteristics, substrate nature, and ablation results of rotors during AF. Methods and Results—: In total, 53 patients (age=55±8), 31 with persistent AF and 22 with long-lasting AF, underwent pulmonary vein isolation and substrate modification of complex fractionated atrial electrograms. Small-radius-reentrant rotors were identified from signal analyses of the dominant frequency and fractionation interval and nonlinear analyses (newly developed, beat-to-beat nonlinear measurement of the repetitiveness of the electrogram morphology >6 seconds). In 15% of the patients, activation maps demonstrated occurrences of rotor-like small-radius reentrant circuits (n=9; 1.1 per patient; cycle length=110±21 ms; diameter=11±6 mm) with fibrillation occurring outside these areas. Rotors were identified by conventional point-by-point mapping and signal analyses and were subsequently eradicated by catheter ablation in these patients. Persistent AF for <1 year, a smaller left atrial size, substrates with higher mean voltages and shorter total activation durations predicted a higher incidence of rotors (all P <0.05). In the multivariable model, areas of reentrant circuits exhibited a higher dominant frequency, kurtosis, and higher degree of a beat-to-beat electrogram similarity than areas without or outside the rotors (all P <0.05). Conclusions—: Rotor-like re-entry with fibrillatory conduction was found in a limited number of patients with nonparoxysmal AF after pulmonary vein isolation. Those areas were characterized by rapid repetitive activity with a high degree of electrogram similarity.

1 July 2009 in Advances in Adaptive Data Analysis
Verified
Journal Article
Closed access
MLMen-Tzung Lo
Men-Tzung Lo
PTPing-Huang Tsai
Ping-Huang Tsai
PLPei-Feng Lin
Pei-Feng Lin
CLChen Lin
Chen Lin
YHYue Loong Hsin
Yue Loong Hsin

1 March 2010 in Resuscitation
Verified
Journal Article
Closed access
LLLian-Yu Lin
Lian-Yu Lin
MLMen-Tzung Lo
Men-Tzung Lo
PKPatrick Chow-In Ko
Patrick Chow-In Ko
CLChen Lin
Chen Lin
CWChiang Wen-Chu
Chiang Wen-Chu
MMMatthew Huei-Ming Ma
Matthew Huei-Ming Ma

1 September 2012 in Journal of Neuroscience Methods
Verified
Journal Article
Closed access
PTPing-Huang Tsai
Ping-Huang Tsai
CLChen Lin
Chen Lin
JTJenho Tsao
Jenho Tsao
PLPei-Feng Lin
Pei-Feng Lin
PWPa-Chun Wang
Pa-Chun Wang
MLMen-Tzung Lo
Men-Tzung Lo