Chung Yuan Christian University

About: Chung Yuan Christian University is a education organization based out in Taoyuan City, Taiwan. It is known for research contribution in the topics: Membrane & Fuzzy logic. The organization has 9819 authors who have published 11623 publications receiving 213139 citations. The organization is also known as: Tiong-gôan-tāi-ha̍k & CYCU.

LMI-based fuzzy chaotic synchronization and communications

Abstract: Addresses synthesis approaches for signal synchronization and secure communications of chaotic systems by using fuzzy system design methods based on linear matrix inequalities (LMIs). By introducing a fuzzy modeling methodology, many well-known continuous and discrete chaotic systems can be exactly represented by Takagi-Sugeno (T-S) fuzzy models with only one premise variable. Following the general form of fuzzy chaotic models, the structure of the response system is first proposed. Then, according to the applications of synchronization to the fuzzy models that have common bias terms or the same premise variable of drive and response systems, the driving signals are developed with four different types: fuzzy, character, crisp, and predictive driving signals. Synthesizing from the observer and controller points of view, all types of drive-response systems achieve asymptotic synchronization. For chaotic communications, the asymptotical recovering of messages is ensured by the same framework. It is found that many well-known chaotic systems can achieve their applications on asymptotical synchronization and recovering messages in secure communication by using either one type of driving signals or all. Several numerical simulations are shown with expected satisfactory performance.

QRS feature extraction using linear prediction

Abstract: The use of linear prediction for analyzing digital ECG signals is discussed. There are several significant properties indicating that ECG signals have an important feature in the residual error signal obtained after processing by Durbin's linear prediction algorithm. The prediction order need not be more than two for fast arrhythmia detection. The ECG signal classification puts an emphasis on the residual error signal. For the QRS complex of each ECG, the feature for recognition is obtained from a nonlinear transformation which transforms every residual error signal to a set of three states pulse-code train relative to the original ECG signal. The pulse-code train has the advantage of easy implementation in digital hardware circuits to achieve automated ECG diagnosis. The algorithm performs very well in feature extraction in arrhythmia detection. Using this method, the studies indicate that the PVC (premature ventricular contraction) detection has at least 92% sensitivity for MIT/BIH arrhythmia database. >

Blood‐Inert Surfaces via Ion‐Pair Anchoring of Zwitterionic Copolymer Brushes in Human Whole Blood

Abstract: A strategy to create blood-inert surfaces in human whole blood via ion-pair anchoring of zwitterionic copolymer brushesand a systematic study of how well-defi ned chain lengths and well-controlled surface packing densities of zwitterionic polymers affect blood compatibility are reported. Well-defi ned diblock copolymers, poly(11-mercaptoundecyl sulfonic acid)- block -poly(sulfobetaine methacrylate) (PSA- b -PSBMA) with varying zwitterionic PSBMA or negatively charged PSA lengths, are synthesized via atom-transfer radical polymerization (ATRP). PSA- b -PSBMA is grafted onto a surface covered with polycation brushes as a mimic polar/hydrophilic biomaterial surface via ion-pair anchoring at a range of copolymer concentrations. Protein adsorption from single-protein solutions, 100% blood serum, and 100% blood plasma onto the surfaces covered with PSA- b -PSBMA brushes is evaluated using a surface plasmon resonance sensor. Copolymer brushes containing a high amount of zwitterionic SBMA units are further challenged with human whole blood. Low protein-fouling surfaces with > 90% reduction with respect to uncoated surfaces are achieved with longer PSA blocks and higher concentrations of PSA- b -PSBMA copolymers using the ion-pair anchoring approach. This work provides a platform to achieve the control of various surface parameters and a practical method to create blood-inert surfaces in whole blood by grafting ionic-zwitterionic copolymers to charged biomaterials via charge pairing.