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시간 지연을 갖는 쌍전파 신경회로망을 이용한 근전도 신호인식에 관한 연구
권장우,정인길,홍승홍,Kwon, Jangwoo,Jung, Inkil,Hong, Seunghong 대한의용생체공학회 1996 의공학회지 Vol.17 No.3
In this paper a new neural network model, time delayed counterpropagation neural networks (TDCPN) which have high recognition rate and short total learning time, is proposed for electromyogram(EMG) recognition. Signals the proposed model increases the recognition rates after learned the regional temporal correlation of patterns using time delay properties in input layer, and decreases the learning time by using winner-takes-all learning rule. The ouotar learning rule is put at the output layer so that the input pattern is able to map a desired output. We test the performance of this model with EMG signals collected from a normal subject. Experimental results show that the recognition rates of the suggested model is better and the learning time is shorter than those of TDNN and CPN.
광 다이오드 어레이 센서를 이용한 인퓨전 펌프 시스템의 개발
권장우,박정선,이동훈,이응혁,홍승홍 ( Jangwoo Kwon,Jungsun Park,Donghym Lee,Eunghuyk Lee,Seunghong Hong ) 한국센서학회 1996 센서학회지 Vol.5 No.3
One of the important factor in drug stuffs to a patient is to inject exact amount with stable flow rates. Since improper injection amount and flow rates would cause bad effect to recovery of a patient, the detecting sensors with high sensitivity is required for an injection pump systems performance improvement. In this study, the three sensors, piezo film sensor, photo transistor and photo array. were compared to find best one for an injection pump monitoring system. Using suggested data processing technique and photo array sensors, we could minimize the effect of interference, disturbance, illumination, and sensitivity change caused by sensor`s position. According to the experiments, the photo array showed the higher reliance than any other the three types of sensors.
홍승홍,이응혁,권장우,구자일,박정선,이종실 경북대학교 센서기술연구소 1995 연차보고서 Vol.1995 No.-
약물을 환자에게 장시간 주입할 때 주입량과 속도를 적절히 조절하는 것이 중요하다. 부적절한 약물투여는 환자의 회복에 악영향을 미칠 수 있으므로 인퓨전 점프시스템의 신뢰도 확보는 매우 중요하다. 본 연구에서는 수액주사세트에 의존하지 않는 인퓨전 점프 시스템과 제어 알고리즘을 제안한다. 드롭센서로 포토어레이가 선택되었다. 실험 결과에 따르면 포토어레이가 다른 종류의 센서에 비해 높은 신뢰도를 보였다. 개발된 시스템은 인퓨전 펌프 시스템의 국산화에 기여할 수 있으며 제안한 알고리즘은 다른 유량 제어 시스템에도 이용될 수 있을 것이다. When we inject drug^tuffs to a patient for a long time, it is important to control proper injection amount and flow rate. Since inproper injection amount and a flow rate would cause bad to recove of a patient, the relience of infusion pump system is important. In this research, we've developed an infusion pump system and control algorithm not dependable to Ⅳsets. We chose photo array for drop sensors. According to the experiments, the photo array showed the higher reliance than any other the three types of sensors. The developed systems could be the foundation of beginning home production of infusion pump system and available for flow rate control systems.