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TEY CHUANG KIT 부경대학교 대학원 2015 국내석사
Chronic obstructive pulmonary disease is a type of lung disease caused by chronically poor airflow that makes breathing difficult. As a chronic illness it typically worsens over time. Therefore, pulmonary rehabilitation exercise and patient management for extensive period of time are required. However, due to a fast growing number of chronical disease patients, and shortage of primary care practitioners. There is a rising demand for automated rehabilitation exercise detection and monitoring system that capable to deploy in a supervised in-clinic or non-supervised in-home environment. This thesis proposed a method for in home multimodal sensors-based application for patients who have chronic breathing difficulties. The process involved fusion of sensory data—obtained using depth sensor camera, photoplethysmogram signals—that are input variable of a detection and evaluation framework. In addition, we incorporated a set of rehabilitation exercises specific for pulmonary patients into the system by fusing sensory data. Simultaneously, the system also features medical functions that accommodate the needs of medical professionals and those which ease the use of the application for patients, including exercises for tracking progress, patient performance, exercise assignments, and exercise guidance. Finally, the results indicate the accurate determination of pulmonary exercises from the fusion of sensory data. This remote rehabilitation system provides a comfortable and cost-effective option in the health-care rehabilitation system.
Nanoliter-based microfluidic biosensor integrated with electrochemical sensor device
Hong, Chuang Charleson Chew Korea University 2015 국내석사
This thesis presents the fabrication and characteristics of a nanoliter droplet-based biosensor chip integrated with a microfluidic system and multiple three-gold electrochemical sensors. This biosensor chip is capable of generating a nanoliter scale droplet and trapping this droplet in a designated microfluidic capture region (Ø600 µm). Combining this microfluidic system for generating and handling nanoliter droplets with small electrochemical sensor may realize a biosensor which can reduce the consumption of precious reagent substantially. Moreover, the microfluidic channel is also capable of on-chip reagent mixing thus further reducing cross contamination from reagent handling. In addition, multiple droplet capture regions equipped with electrochemical sensors enable analyzing multiple nanoliter droplet samples in one biosensor chip which simplifies the experimental process and reduces reagents amount or/and the detection time. The designed and fabricated microfluidic biosensor chip has multiple capture regions equipped with three-gold microelectrode electrochemical sensors and the testing results showed that it could precisely encapsulate 25 nL of nanoliter droplet reagent in each capture region. By further incorporating on-chip microvalve, fluid flow direction in the microfluidic chip can be easily controlled and manipulated. The fabricated microfluidic biosensor chip was applied into an enzyme activity assay using a nanoliter droplet in order to prove this chip can be used in real applications. Compared to other glucose oxidase (GOx) enzyme sensors, the proposed microfluidic biosensor chip required only a minimum of 25 nL of reagent. Even with this small volume of reagent, this proposed biosensor chip is capable of performing electrochemical test effectively and responding to various glucose concentrations with the lowest detectable glucose concentration of 3.125 mM. The result shows that this nanoliter droplet-based biosensor chip has a very promising potential to be improvised and applied as detection tools in various medical fields, particularly when only nanoliter volume of reagent is available or should be used for various reasons. The total dimension of the microfluidic biosensor chip is only 58 mm x 78 mm making it suitable for point-of-care design and consideration.