3 research outputs found

    Bolting Cabin Assistance System Using a Sensor Network

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    The bolting cabin assistance system prevents operators from facing dangerous situations. This system consists of a bolting robot control system and a top view supervisory system. In order to control the bolting robot, circular Hough transforms and fuzzy reasoning are used. First, the circular Hough transform roughly estimates the location of the bolt hole. After that, errors of estimation are compensated for using fuzzy reasoning. In order to track a bolt hole, a region of interest (ROI) is used. By setting the region in which to search for a bolt hole, the algorithm tracks the location of the bolt hole. In order to choose an ROI, a template-based matching algorithm is used. In order to make the top view supervisory system, four cameras are installed at the left, right, front and back of the robot. The four individual images from the various cameras are combined to make the top view image after correcting for distortion

    Which Factors Affect the Stress of Intraoperative Orthopedic Surgeons by Using Electroencephalography Signals and Heart Rate Variability?

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    Can we recognize intraoperative real-time stress of orthopedic surgeons and which factors affect the stress of intraoperative orthopedic surgeons with EEG and HRV? From June 2018 to November 2018, 265 consecutive records of intraoperative stress measures for orthopedic surgeons were compared. Intraoperative EEG waves and HRV, comprising beats per minute (BPM) and low frequency (LF)/high frequency (HF) ratio were gathered for stress-associated parameters. Differences in stress parameters according to the experience of surgeons, intraoperative blood loss, and operation time depending on whether or not a tourniquet were investigated. Stress-associated EEG signals including beta 3 waves were significantly higher compared to EEG at rest for novice surgeons as the procedure progressed. Among senior surgeons, the LF/HF ratio reflecting the physical demands of stress was higher than that of novice surgeons at all stages. In surgeries including tourniquets, operation time was positively correlated with stress parameters including beta 1, beta 2, beta 3 waves and BPM. In non-tourniquet orthopedic surgeries, intraoperative blood loss was positively correlated with beta 1, beta 2, and beta 3 waves. Among orthopedic surgeons, those with less experience demonstrated relatively higher levels of stress during surgery. Prolonged operation time or excessive intraoperative blood loss appear to be contributing factors that increase stress

    A phase II trial of erlotinib in combination with gemcitabine and capecitabine in previously untreated metastatic/recurrent pancreatic cancer: combined analysis with translational research

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    Background To confirm the efficacy and toxicity of Erlotinib in combination with Gemcitabine and Capecitabine when used as a first-line therapy in metastatic/recurrent pancreatic cancer (PC). Methods Locally advanced PC was excluded. Erlotinib was given at a dose of 100 mg daily from D1 to D28. 1000 mg/m(2) of gemcitabine was given on D1,8,15 and 1660 mg/m(2)/day of capecitabine was given from D1 to 21, repeated every 4 weeks. Response was assessed every 8 weeks. Results A total of 47 patients were enrolled. Response rate and disease control rate was 32.6% (95% CI, 18.6-46.6%) and 83.7% (95% CI, 72.7-94.7%) respectively. The PFS was 6.5 months (95% CI, 3.4-9.7) and OS was 12.0 months (95% CI, 8.6-15.9). The Gr 3/4 toxicities were: neutropenia (6.8%), thrombocytopenia (3.2%), anemia (1.6%). nausea (1.6%), vomiting (1.6%), anorexia (5.3%), rash (2.4%). The EGFR expression was associated with shorter OS and ERCC2 expression was associated with longer PFS and OS. PFS and OS were not different according to K-RAS mutation or polymorphism of RRM1 and CDA. Conclusions Erlotinib, gemcitabine and capecitabine combination showed promising efficacy and good tolerability in metastatic PC. This efficacy was observed irrespective of K-RAS mutation, and EGFR expression was poor prognostic factor for OS
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