22 research outputs found
The association between increased carotid intima-media thickness and SYNTAX Score in coronary artery disease: A single center study
Background: Carotid artery lesions frequently coexist with coronary arterial disease (CAD). The aim of this study was to investigate the relation between carotid intima-media thickness (CIMT) and the extent of CAD and whether CIMT could be predictive of severity of coronary atherosclerosis. Methods: Coronary angiography and carotid ultrasound evaluations of 100 consecutive patients with CAD who had undergone elective coronary angiography were reviewed. IMT was measured at both carotid arteries. CIMT and severity of CAD relationship based on SYNTAX score was assessed. The relation between CIMT and cardiovascular risk factors was determined. Results: Mean overall SYNTAX score was 15.76 + 4.82. Mean right CIMT was 0.86 ± 0.29 and mean left CIMT was 0.83 ± 0.24. There were no significant correlation between the SYNTAX score and CIMT (r: 10, P: 30). There was significant relationship between hypertension,diabetes and CIMT (P: 0.01). Conclusion: we found no relationship between CIMT and SYNTAX score in patients who underwent coronary angiography. Diabetes mellitus and hypertension are related to increased carotid intima-media thickness. © 2018
The association between increased carotid intima-media thickness and SYNTAX Score in coronary artery disease: A single center study
Background: Carotid artery lesions frequently coexist with coronary arterial disease (CAD). The aim of this study was to investigate the relation between carotid intima-media thickness (CIMT) and the extent of CAD and whether CIMT could be predictive of severity of coronary atherosclerosis. Methods: Coronary angiography and carotid ultrasound evaluations of 100 consecutive patients with CAD who had undergone elective coronary angiography were reviewed. IMT was measured at both carotid arteries. CIMT and severity of CAD relationship based on SYNTAX score was assessed. The relation between CIMT and cardiovascular risk factors was determined. Results: Mean overall SYNTAX score was 15.76 + 4.82. Mean right CIMT was 0.86 ± 0.29 and mean left CIMT was 0.83 ± 0.24. There were no significant correlation between the SYNTAX score and CIMT (r: 10, P: 30). There was significant relationship between hypertension,diabetes and CIMT (P: 0.01). Conclusion: we found no relationship between CIMT and SYNTAX score in patients who underwent coronary angiography. Diabetes mellitus and hypertension are related to increased carotid intima-media thickness. © 2018
Limit of phase only approach in micro-lens design
Phase only approach (POA) is generally used to analyze diffractive optical elements (DOEs) such as micro–lenses. We used 3–D finite difference time domain (FDTD) method with perfect matched layer (PML) absorbing boundary conditions to test several micro–lenses that were designed based on phase only approach to evaluate the accuracy of this approach. It is shown that if the focal length is greater than 80? and 25? for 2p and 4p phase resets, respectively, the error in the main lobe diffraction efficiency will be less than 10%
Physiology-based dynamic muscle fatigue model for upper limbs during construction tasks
202312 bcchAccepted ManuscriptOthersCenters for Disease Control and Prevention, United StatesPublishedGreen (AAM
Automated action recognition using an accelerometer-embedded wristband-type activity tracker
202312 bcchAccepted ManuscriptSelf-fundedPublishedGreen (AAM
Threshold-Based Approach to Detect Near-Miss Falls of Iron Workers Using Inertial Measurement Units
Falls are the single most dangerous safety accident within the construction industry, representing 33% of all fatalities in construction. Numerous unrecognized near-miss falls exist behind every major fall accident. The detection of near-miss fall occurrence therefore helps the identification of fall-prone workers/tasks and invisible jobsite hazards and thereby can prevent fall accidents. This paper presents and evaluates the feasibility of a threshold-based approach for detecting the near-miss falls of construction iron-worker. Kinematic data of subjects are collected through an IMU sensor attached to the subjects' sacrum; the subjects then perform walking on a steel beam structure. Fall-related features - sum vector magnitude (SVM), and normalized signal magnitude area (SMA) - are used to detect near-miss falls. Threshold values of these features are defined to achieve the best accuracy in near-miss fall detection based upon experiment data. According to selected threshold values, iron-workers' near-miss falls were detected. The result of this research demonstrate the opportunity of utilizing SVM and SMA in documenting workers' near-miss fall incidents in real-time.N