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        Neuromuscular Electrical Stimulation of Abdominal Muscles to Improve Standing Balance

        Jeongwoo Je(Jeongwoo Je),Woochol Joseph Choi(Woochol Joseph Choi) 한국전문물리치료학회 2022 한국전문물리치료학회지 Vol.29 No.4

        Background: Neuromuscular electrical stimulation (NMES) is used for muscle strengthening. While voluntary muscle contraction follows Henneman et al.’s size principle, the NMES-induced muscle training disrespects the neurophysiology, which may lead to unwanted changes (i.e., declined balance ability). Objects: We examined how the balance was affected by abdominal muscle training with the NMES. Methods: Fifteen young adults (10 males and 5 females) aged between 21 and 30 received abdominal muscle strengthening with NMES for 23 minutes. Before and after the training, participants’ balance was measured through one leg standing on a force plate with eyes open or closed. Outcome variables included mean distance (MDIST), root mean square distance (RDIST), total excursion (TOTEX), mean velocity (MVELO), and 95% confidence circle area (AREA) of center of pressure data. Two-way repeated measures analysis of variance was used to test if these outcome variables were associated with time (pre and post) and vision. Results: All outcome variables were not associated with time (p > 0.05). However, all outcome variables were associated with vision (p = 0.0001), and MVELO and TOTEX were 52.4% (45.5 mm/s versus 95.6 mm/s) and 52.4% (364.1 mm versus 764.5 mm) smaller, respectively, in eyes open than eyes closed (F = 55.8, p = 0.0005; F = 55.8, p = 0.0005). Furthermore, there was no interaction between time and vision (F = 0.024, p = 0.877). Conclusion: Despite the different neurophysiology of muscle contraction, abdominal muscle strengthening with NMES did not affect balance.

      • KCI등재

        Immediate Effect of Neuromuscular Electrical Stimulation on Balance and Proprioception During One-leg Standing

        Je Jeongwoo,최우철 한국전문물리치료학회 2022 한국전문물리치료학회지 Vol.29 No.3

        Background: Neuromuscular electrical stimulation (NMES) is a physical modality used to activate skeletal muscles for strengthening. While voluntary muscle contraction (VMC) follows the progressive recruitment of motor units in order of size from small to large, NMES-induced muscle contraction occurs in a nonselective and synchronous pattern. Therefore, the outcome of muscle strengthening training using NMES-induced versus voluntary contraction might be different, which might affect balance performance. Objects: We examined how the NMES training affected balance and proprioception. Methods: Forty-four young adults were randomly assigned to NMES and VMC group. All participants performed one-leg standing on a force plate and sat on the Biodex (Biodex R Corp.) to measure balance and ankle proprioception, respectively. All measures were conducted before and after a training session. In NMES group, electric pads were placed on the tibialis anterior, gastrocnemius, and soleus muscles for 20 minutes. In VMC group, co-contraction of the three muscles was conducted. Outcome variables included mean distance, root mean square distance, total excursion, mean velocity, 95% confidence circle area acquired from the center of pressure data, and absolute error of dorsi/plantarflexion. Results: None of outcome variables were associated with group (p > 0.35). However, all but plantarflexion error was associated with time (p < 0.02), and the area and mean velocity were 37.0% and 18.6% lower in post than pre in NMES group, respectively, and 48.9% and 16.7% lower in post than pre in VMC group, respectively. Conclusion: Despite different physiology underlying the NMES-induced versus VMC, both training methods improved balance and ankle joint proprioception.

      • 홀로렌즈2 기반 손동작 인식 연구를 위한 손 영상 분할

        박정우(Jeongwoo Park),홍제형(Je Hyeong Hong) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6

        최근 산업분야에서 활용성이 높은 홀로렌즈2 기기는 다양한 상황에 적용될 수 있는 손동작 인식 연구에 활용된다. 하지만 홀로렌즈2 원본 데이터는 배경을 포함한 원형의 이미지이므로 손동작 인식 모델 학습시 모델 성능을 저하시킨다. 본 논문에서는 이와 같은 홀로렌즈2 원본 데이터의 문제점을 해결하기 위해, 영상분할 기법을 제안하고 본 전처리 기법에 따른 손동작 인식 성능을 확인한다. 제안하는 영상분할 기법은 다음과 같다. 원본 데이터의 거리 정보를 이용하여 배경을 제거한 뒤, 픽셀 값의 변화량을 기준으로 물체들의 경계를 나누고 군집화 하여 가장 큰 면적을 가지는 손 형태를 분리한다. 영상분할이 인식 성능을 향상시키는지 검증하기 위해 CNN 기반 손동작 인식 모델인 C3D와 CNN+transformer를 사용한다. 본 기법을 사용했을 때, 각 모델에서 17.4%, 0.2% 성능 향상을 보인다.

      • SCISCIE

        Production of <small>D</small>-ribose by metabolically engineered <i>Escherichia coli</i>

        Park, Hae-Chul,Kim, Yun-Jung,Lee, Chang-Wan,Rho, Yong-Taek,Kang, JeongWoo,Lee, Dae-Hee,Seong, Yeong-Je,Park, Yong-Cheol,Lee, Daesang,Kim, Sung-Gun Elsevier 2017 PROCESS BIOCHEMISTRY Vol.52 No.-

        <P><B>Abstract</B></P> <P> <I>Escherichia coli</I> was metabolically engineered for the production of <SMALL>D</SMALL>-ribose, a functional five-carbon sugar, from xylose. For the accumulation of <SMALL>D</SMALL>-ribose, two genes of transketolase catalyzing the conversion of <SMALL>D</SMALL>-ribose-5-phosphate to sedoheptulose-7-phosphate in pentose phosphate pathway were disrupted to create a transketolase-deficient <I>E. coli</I> SGK013. In batch fermentation, <I>E. coli</I> SGK013 grew by utilizing glucose and then started to produce <SMALL>D</SMALL>-ribose from xylose after glucose depletion. <I>E. coli</I> SGK013 produced 0.75g/L of <SMALL>D</SMALL>-ribose, which was identical to the standard <SMALL>D</SMALL>-ribose as confirmed by HPLC and LC/MS analyses. To improve D-ribose production, the <I>ptsG</I> gene encoding the glucose-specific IICB component was disrupted additionally, resulting in the construction of <I>E. coli</I> SGK015. The carbon catabolite repression-negative <I>E. coli</I> SGK015 utilized xylose and glucose simultaneously and produced up to 3.75g/L of <SMALL>D</SMALL>-ribose, which is a 5-fold improvement compared to that of <I>E. coli</I> SGK013.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Transketolase-deficient <I>E. coli</I> was constructed to produce <SMALL>D</SMALL>-ribose from xylose. </LI> <LI> <SMALL>D</SMALL>-Ribose produced in the <I>E. coli</I> was identical to standard <SMALL>D</SMALL>-ribose in HPLC and LC/MS analyses. </LI> <LI> The transketolase-deficient <I>E. coli</I> was further engineered to uptake glucose and xylose simultaneously for facilitating <SMALL>D</SMALL>-ribose production. </LI> <LI> The simultaneous uptake of glucose and xylose in the <I>E. coli</I> resulted in a 5-fold improvement of <SMALL>D</SMALL>-ribose production. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

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