The purpose of this study was to report variations of the cubital superficial vein patterns in the Korean subjects, which was investigated by using venous illuminator, AccuVein. The 200 Korean subjects were randomly chosen from the patients and staff of the Keimyung University Dongsan Medical Center in Daegu, Korea. After excluding the inappropriate cases for detecting venous pattern, we collected 174 cases of right upper limbs and 179 cases of left upper limbs. The superficial veins of the cubital fossa were detected and classified into four types according to the presence of the median cubital vein (MCV) or median antebrachial vein. The type II, presenting the both cephalic and basilic vein connected by the MCV, was most common (177 upper limbs, 50.1%). Although the most common type in male and female was different as type I (108 upper limbs, 49.3%) and type II (75 upper limbs, 56.0%), respectively, statistical significance was not detected (P=0.241). The frequency of the each types between right and left upper limbs was also not different (P=0.973). Among 154 subjects who were observed the venous pattern in the both upper limbs, 76 subjects (49.3%) had the same venous pattern. Using AccuVein to investigate the venous pattern has an advantage of lager scale examination compared to the cadaver study. Our results might be helpful for medical practitioner to be aware of the variation of the superficial cubital superficial vein.
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http://dx.doi.org/10.5115/acb.2015.48.1.62 | DOI Listing |
Sci Rep
December 2024
Department of Orthopedic Surgery, Yonsei University College of Medicine, Seoul, South Korea.
The unique saddle articulation of the trapeziometacarpal joint allows for a wide range of motion necessary for routine function of the thumb. Inherently unstable characteristics of the joint can lead painful instability. In this study, we modified a surgical dorsal ligament reconstruction technique for restoring trapeziometacarpal joint stability.
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Behav Res Methods
December 2024
Algoritmi Research Centre, University of Minho, Campus de Azurém, 4800-058, Guimarães, Portugal.
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December 2024
Cancer Center, Department of Pulmonary and Critical Care Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Hospital-acquired infection (HAI) and antimicrobial resistance (AMR) represent major challenges in healthcare system. Despite numerous studies have assessed environmental and patient samples, very few studies have explored the microbiome and resistome profiles of medical staff including nursing workers. This cross-sectional study was performed in a tertiary hospital in China and involved 25 nurses (NSs), 25 nursing workers (NWs), and 55 non-medical control (NC).
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December 2024
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran.
Surface electromyography (sEMG) data has been extensively utilized in deep learning algorithms for hand movement classification. This paper aims to introduce a novel method for hand gesture classification using sEMG data, addressing accuracy challenges seen in previous studies. We propose a U-Net architecture incorporating a MobileNetV2 encoder, enhanced by a novel Bidirectional Long Short-Term Memory (BiLSTM) and metaheuristic optimization for spatial feature extraction in hand gesture and motion recognition.
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