Browsing by Author "Liu, Chun"

Now showing 1 - 2 of 2

Development of a Novel Heart Rate Synchronized Pulsatile Left Ventricular Assist Device
(2018-01-01)
Liu, Chun
;
Fang, Jia-Ching
;
Yeh, Chi-Hsiao
;
Lin, Shien-Fong
;
分子醫學與生物工程研究所
The left ventricular assist device (LVADs) have been used as either a bridge to transplant or destination therapy for end stage heart failure. The continuous-flow models have been used with multiple complications. This project applied electromagnetically driven pump to the development of a heart-rate synchronized pulsatile LVAD. A control system was developed based on LabVIEW programming platform. The LabVIEW program receives pulse signals by DAQ device and then output the signal to control the coil of the pump by DAQ device. Under the action of the magnetic effect of electric current, thus the magnetic piston inside the pump is pushed back and forth. The program not only receives pulse signals but also synchronizes the pump and pulsation. The researchers used heart mock to test the flow situation of water. According to the current situation, the pump can affect the water flow. Currently, the experiment enters the stage that cooperates with Keelung Chang Gung Memorial Hospital. In addition, the circuit is miniaturized and the connector is used for experimental convenience in the hospital in the future.
Method for detection and quantification of non-invasive skin sympathetic nerve activity
(2018-01-01)
Liu, Chun
;
Wong, Johnson
;
Doytchinova, Anisiia
;
Chen, Peng-Sheng
;
Lin, Shien-Fong
Sympathetic nerve activity is an important trigger of cardiac arrhythmia. Our laboratory recently developed a new method for non-invasive recording of the skin sympathetic nerve activity (SKNA) using conventional electrocardiography (ECG) patch electrodes. Recent studies showed that SKNA can adequately estimate sympathetic tone in humans. In order to improve the analysis of SKNA, we developed automatic standard assessment system based on the concept of microneurography and applied to non-invasive SKNA recording via 4 steps of signal processing. Every parameters in procedures can be manually selected by users in order to meet requirements. After using these signal processing, the results obtained by this system show improved nerve burst morphology and trend. Intuitive nerve discharge pattern and occurrence frequency can be automatically generated. Verification of the method with the cold water pressor test data further established the reliability and usefulness of the system. This new method offered a convenient tool to evaluate SKNA for comprehensive and detailed application in neurocardiology. The analysis system may facilitate the study between SKNA and cardiac arrhythmia, thus advance the field of neurocardiology research.