Dynamic monitoring of forearm muscles using one-dimensional sonomyography system

2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Web-based product design review: Implementation perspective

Product design review is one of the typical scenarios of collaborative product development. We developed a web-based prototype framework for supporting the collaborative tele-product design review on the Internet. It provides a suite of tools to establishing and management the new product design review process. This paper discusses the issues related to the development and implementation of web application in prototype implication. The typical 3-tier architecture is explained to show how the CyberReview components work together to achieve the intended functionality. The VRML EAI and Java Applet-Servlet pair technology was included to support the implication.published_or_final_versio

护士增进民众健康 护理创造更佳业绩

2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Empower students with the capability of self-regulated learning to improve teaching efficacy of the problem-based learning

2010-2011 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Excitonic quantum confinement modified optical conductivity of monolayer and few-layered MoS2

2016-2017 > Academic research: refereed > Publication in refereed journal201804_a bcmaVersion of RecordPublishe

Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience.

Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect awareness, have been widely used in many research and medical equipment to build a noninvasive monitoring index to the depth of anesthesia (DOA). Bispectral (BIS) index monitor is one of the famous and important indicators for anesthesiologists primarily using EEG signals when assessing the DOA. In this study, an attempt is made to build a new indicator using EEG signals to provide a more valuable reference to the DOA for clinical researchers. The EEG signals are collected from patients under anesthetic surgery which are filtered using multivariate empirical mode decomposition (MEMD) method and analyzed using sample entropy (SampEn) analysis. The calculated signals from SampEn are utilized to train an artificial neural network (ANN) model through using expert assessment of consciousness level (EACL) which is assessed by experienced anesthesiologists as the target to train, validate, and test the ANN. The results that are achieved using the proposed system are compared to BIS index. The proposed system results show that it is not only having similar characteristic to BIS index but also more close to experienced anesthesiologists which illustrates the consciousness level and reflects the DOA successfully.This research is supported by the Center forDynamical Biomarkers and Translational Medicine, National Central University, Taiwan, which is sponsored by Ministry of Science and Technology (Grant no. MOST103-2911-I-008-001). Also, it is supported by National Chung-Shan Institute of Science & Technology in Taiwan (Grant nos. CSIST-095-V301 and CSIST-095-V302)

Influence of interfacial nitrogen on edge charge trapping at the interface of gate oxide/drain extension in metal-oxide-semiconductor transistors

The influence of interfacial nitrogen on edge charge trapping at the interface of gate oxide/drain extension in metal-oxide-semiconductor transistors was investigated. Positive edge charge trapping was observed for both pure and nitrided oxides with an oxide thickness of 6.5 nm. Results showed that nitrogen at the interface enhance the edge charge trapping.published_or_final_versio