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효과적인 돌봄능력증진을 위한 환자로봇의 통증표현에 대한 연구
이미란(M. R. Lee),웨이췬(Q. Wei) 한국재활복지공학회 2022 한국재활복지공학회 학술대회논문집 Vol.2022 No.4
Care and nursing training (CNT) is to develop the ability to effectively respond to the needs by investigating patients’ requests and improving trainee’ care skills in a caring environment. In this paper, we introduce a patient robot that can express facial emotions or feelings of pain states like an actual human does in joint care education. The primary objectives for the proposed patient robot-based care training system are (a) to understand better the effects of care skills by deeper interpretation of the results based on quantitative data obtained from the robot for providing an effective patient robot-based care education system, (b) to infer the pain felt by the patient robot and intuitively provide the trainee with the patient’s pain state.
박효순(H. S. Park),김종훈(J. H. Kim),웨이췬(Q. Wei),이정현(J. H. Lee),성기웅(K. W. Seong),조진호(J. H. Cho) 한국재활복지공학회 2014 한국재활복지공학회 학술대회논문집 Vol.2014 No.11
Intravenous(IV) infusion set is the most commonly used treatment method for the patient in hospital. However, Checking the IV solution flow rate is important to prevent the patient from medical injury. In this paper, using an optical sensor to detect the IV solution exhaustion was presented. The LED and photodiode were used as light transmitter and receiver. Two elements were fixed coplanar, and the light from LED through reflector and achromatic lens arrives to photodiode. Therefore, the proposed optical sensor is able to work at both glass IV bottle and plastic IV pack. The implementation followed optic theory by changing condition such as wavelength of visible LED (R,G,B) , color of IV solution and intensity of illumination. The experimental result shows that the blue LED has largest difference between full and exhaustion of IV solution than using Red and Green LEDs. Also, the output voltage is higher at the case of exhaustion of IV solution than full.