http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
An automated Point-of-Care Instrument for Molecular Testing
Ohwon Kwon,Kangho Lee,Dongkyu Lee 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
A self-contained cartridge and an integrated instrument for the automated molecular testing are described. The proposed cylindrical cartridge consists of multiple chambers containing all necessary reagents such as specimens, lysis, wash, and elution buffers. The system provides a chain of automatic processes for the molecular test of sample preparation, amplification, and detection. Sample preparation can be fully conducted inside the cartridge, which includes reagents mixing, nucleic acids capturing, wastes-out, and eluates collection. The system also implements the amplifying and detecting processes of the extracted DNA using the peltier heating and photometry scanner, respectively. All flow movements in the instrument are driven by pneumatic actuations of syringe/piston sets and valve controls based on the motor driving. The molecular tests in the system were evaluated clinically using Salmonella bacteria. The performance of the system was verified successfully by comparing with the results from commercial equipment. The system including the disposable cartridge has the potentials to be applicable for point-of-care testing of molecular diagnostics such as Polymerase Chain Reaction (PCR) or other amplification methods such as isothermal amplification, resulting in an early diagnosis of disease.
운전자의 체압 분포 및 시트변형에 대한 정량화 측정시스템
권영은 ( Yeong-eun Kwon ),김윤영 ( Yun-young Kim ),이용구 ( Yong-goo Lee ),이동규 ( Dongkyu Lee ),권오원 ( Ohwon Kwon ),강신원 ( Shin-won Kang ),이강호 ( Kang-ho Lee ) 한국센서학회 2018 센서학회지 Vol.27 No.6
Proper seat design is critical to the safety, comfort, and ergonomics of automotive driver’s seats. To ensure effective seat design, quantitative methods should be used to evaluate the characteristics of automotive seats. This paper presents a system that is capable of simultaneously monitoring body pressure distribution and surface deformation in a textile material. In this study, a textile-based capacitive sensor was used to detect the body pressure distribution in an automotive seat. In addition, a strain gauge sensor was used to detect the degree of curvature deformation due to high-pressure points. The textile-based capacitive sensor was fabricated from the conductive fabric and a polyurethane insulator with a high signal-to-noise ratio. The strain gauge sensor was attached on the guiding film to maximize the effect of its deformation due to bending. Ten pressure sensors were placed symmetrically in the hip area and six strain gauge sensors were distributed on both sides of the seat cushion. A readout circuit monitored the absolute and relative values from the sensors in real-time, and the results were displayed as a color map. Moreover, we verified the proposed system for quantifying the body pressure and fabric deformation by studying 18 participants who performed three predefined postures. The proposed system showed desirable results and is expected to improve seat safety and comfort when applied to the design of various seat types. Moreover, the proposed system will provide analytical criteria in the design and durability testing of automotive seats.
User Intention Based Intuitive Mobile Platform Control: Application to a Patient Transfer Robot
Jaewoo Park,Bohyun An,Ohwon Kwon,Hak Yi,Changwon Kim 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.23 No.6
This study proposes a user’s intuitive intention-based control system for mobile robot platforms. As an application of the control scheme, we focused on a robot that transports patients in medical facilities. However, since most of the people who operate the patient transfer robot (PTR) are not robotics experts, an intuitive control method is needed to enable easy operation of the robot system. Also minimizing the discomfort experienced by the patient in the process of transferring the patient through the patient transfer robot is another important issue to consider. Therefore, the main contributions of this are developing an intuitive user interface and proposing a sway reduction control scheme. To accomplish the first issue, the intuitive control is implemented by proposing a robot control interface, where four force-sensing resistor (FSR) sensors are installed on a robot’s handle (where a user holds a robot). Through this, the robot can be easily moved with only a simple and intuitive operation of the user. Therefore forward, backward, left movement, right movement, left turn, and right turn operation can be controlled through the intuitive movement of the user input through the developed user interface. Additionally, in order to satisfy the second requirement, the patient’s sway reduction strategy is suggested by applying fuzzy logic-based control command generation method to the user intention. Through this method, the sway that occurs during the movement of the robot is reduced. In this study, the mecanum wheel was applied to the driving platform of the patient transfer robot to enable omnidirectional movement. The performance of the proposed control method is verified through simulations and experiments. Simulation and experimental results confirm that the proposed method reduced the acceleration and jerk root mean square values of the robot compared to a comparison method.
Combined Kinematic Analysis of a Hybrid 7-DOF Rehabilitation Robot
Hyun Soo Woo,Ohwon Kwon 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
It is well known that stroke is the leading cause of long-term disability and the number of stroke patients has been increasing due to the ageing of the population worldwide. Over the past decade, the effort to deliver effective rehabilitation robots especially for stroke patients has also been growing steadily with aims to provide timely and effective recovery, thus to reduce overall healthcare service burden. The trend of technical development has been evolving from the passive or one-way assistance regardless of patients’ intention or acute physical status toward the interactive therapy taking into account force/torque feedback and movement intention of the patients along with the therapy. Currently, few systems in the market, however, have considered the relative coordinate change of the patients’ upper limb, especially the center of humerus head into robot therapy. Here, we have developed a 7-DOF exoskeleton robot system for stroke rehabilitation of the upper extremity. The robot has three motors for the shoulder rotation and one for the elbow actuation. A key differentiating feature of this robot is the additional 3-DOF full shoulder motion control designed to build more ergonomic system, which provides a more user-friendly therapy by making the patient posture more natural. As the first step for the robotic control, this paper describes the combined kinematic analysis of the 7-DOF rehabilitation robot.
Quantitative Monitoring of Body Pressure Distribution Using Built-in Optical Sensors
( Kang-ho Lee ),( Yeong-eun Kwon ),( Jihyeon Seo ),( Byunghun Lee ),( Dongkyu Lee ),( Ohwon Kwon ) 한국센서학회 2020 센서학회지 Vol.29 No.5
In this study, body pressure was quantitatively detected using built-in optical sensors, inside an air cushion seat. The proposed system visualizes the effect of the body pressure distribution on the air cushion seat. The built-in sensor is based on the time-of-flight (ToF) optical method, instead of the conventional electrical sensor. A ToF optical sensors is attached to the bottom surface of the air-filled cells in the air cushion. Therefore, ToF sensors are durable, as they do not come in physical contact with the body even after repeated use. A ToF sensor indirectly expresses the body pressure by measuring the change in the height of the air-filled cell, after being subjected to the weight of the body. An array of such sensors can measure the body pressure distribution when the user sits on the air cushion seat. We implemented a prototype of the air cushion seat equipped with 7 ToF optical sensors and investigated its characteristics. In this experiment, the ToF optical pressure sensor successfully identified the pressure distribution corresponding to a sitting position. The data were accessed through a mobile device.