naa a22 4500 510823661 CHVBK 20180411083546.0 cr unu---uuuuu 180411e20130401xx s 000 0 eng 10.1007/s12541-013-0089-8 doi (NATIONALLICENCE)springer-10.1007/s12541-013-0089-8 Synchronized oxygen delivery and its optimization method: A bench study [Elektronische Daten] [Gil Lee, Seung Cha, Seung Oh, Choongsoo Shin, Tae Lee] Long-term oxygen therapy (LTOT) has been widely used to treat patients with chronic obstructive pulmonary disease. The traditional oxygen delivery methods used for LTOT are continuous flow oxygen (CFO) and demand oxygen delivery (DOD). CFO wastes a considerable amount of oxygen, whereas DOD often makes patients feel uncomfortable because it abruptly supplies a large amount of oxygen at the onset of inhalation. Hence, we developed an algorithm for predicting the onset of inhalation, which allowed oxygen to be supplied smoothly before inhalation. Moreover, we minimized the discomfort index (DI) to offer more comfortable oxygen delivery. By integrating the prediction algorithm and the minimization of DI, the previous synchronized demand oxygen delivery (SDOD) method was modified. We constructed a bench model to validate the modified SDOD. The results showed that the proposed algorithm accurately predicted the onset of inhalation. The difference in the real-time measured and predicted values for the beginning of inhalation was less than 0.10 s. Using the proposed minimization technique, the DI was decreased by 50% under 20 breaths per minute when compared with the DI calculated from a previous study. In conclusion, the modified SDOD could supply oxygen more comfortably while synchronizing with patient breathing patterns. Korean Society for Precision Engineering and Springer-Verlag Berlin Heidelberg, 2013 Synchronized demand oxygen delivery nationallicence Chronic obstructive pulmonary disease nationallicence Minimization of discomfort index nationallicence Prediction algorithm nationallicence Bench model nationallicence Lee Gil Graduate School of Sogang University, 1 Shinsu-Dong, Mapo-Gu, 121-742, Seoul, Republic of Korea aut Cha Seung Graduate School of Sogang University, 1 Shinsu-Dong, Mapo-Gu, 121-742, Seoul, Republic of Korea aut Oh Seung Oxus Oxygen Research Institute, 246 Cheonahn-Li, Seorak-Myun, Gapyeong-Goon, 477-851, Gyunggi-Do, Republic of Korea aut Shin Choongsoo Department of Mechanical Engineering, Sogang University, 1 Shinsu-Dong, Mapo-Gu, 121-742, Seoul, Republic of Korea aut Lee Tae Department of Mechanical Engineering, Sogang University, 1 Shinsu-Dong, Mapo-Gu, 121-742, Seoul, Republic of Korea aut International Journal of Precision Engineering and Manufacturing Korean Society for Precision Engineering 14/4(2013-04-01), 663-670 2234-7593 14:4<663 2013 14 12541 https://doi.org/10.1007/s12541-013-0089-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12541-013-0089-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lee Gil Graduate School of Sogang University, 1 Shinsu-Dong, Mapo-Gu, 121-742, Seoul, Republic of Korea aut NATIONALLICENCE 700 1- Cha Seung Graduate School of Sogang University, 1 Shinsu-Dong, Mapo-Gu, 121-742, Seoul, Republic of Korea aut NATIONALLICENCE 700 1- Oh Seung Oxus Oxygen Research Institute, 246 Cheonahn-Li, Seorak-Myun, Gapyeong-Goon, 477-851, Gyunggi-Do, Republic of Korea aut NATIONALLICENCE 700 1- Shin Choongsoo Department of Mechanical Engineering, Sogang University, 1 Shinsu-Dong, Mapo-Gu, 121-742, Seoul, Republic of Korea aut NATIONALLICENCE 700 1- Lee Tae Department of Mechanical Engineering, Sogang University, 1 Shinsu-Dong, Mapo-Gu, 121-742, Seoul, Republic of Korea aut NATIONALLICENCE 773 0- International Journal of Precision Engineering and Manufacturing Korean Society for Precision Engineering 14/4(2013-04-01), 663-670 2234-7593 14:4<663 2013 14 12541 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer