Some unification problems in medical instrument production

1982 ◽  
Vol 16 (5) ◽  
pp. 170-174
Author(s):  
A. Kh. Izmailov
Keyword(s):  
Medical Instrument ◽  
Instrument Production

scholarly journals Torsional waveguide modeling of an ultrasonic medical instrument

2021 ◽  
Vol 1902 (1) ◽  
pp. 012009
Author(s):  
Alexander Mikhailovich Gouskov ◽  
Yuri Vsevolodovich Grigoryev ◽  
Phyo Aung Pyae
Keyword(s):  
Medical Instrument

Adverse drug and medical instrument reactions in a pediatric intensive care unit

2009 ◽  
Vol 18 (8) ◽  
pp. 761-762 ◽  
Author(s):  
Shockrollah Farrokhi ◽  
Zahra Pourpak ◽  
Fatemeh Fattahi ◽  
Mahmood Reza Ashrafi ◽  
Parvin Majdinasab ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Pediatric Intensive Care Unit ◽  
Medical Instrument ◽  
Pediatric Intensive Care

scholarly journals AN INTELLIGENT CBMIR SYSTEM FOR DETECTION AND LOCALIZATION OF LUNG DISEASES

2021 ◽  
Vol 9 (08) ◽  
pp. 651-660
Author(s):  
Nora I. Yahia ◽  
◽  
Ayman I. Al-Dosouki ◽  
Sahar A. Mokhtar ◽  
Hany M. Harb ◽  
...  
Keyword(s):  
Medical Image ◽  
Lung Diseases ◽  
Medical Instrument ◽  
Detection Accuracy ◽  
Retrieval Process ◽  
Recognition Efficiency ◽  
Imaging Signs ◽  
Detection And Localization ◽  
Aided Diagnosis ◽  
Detector Model

The diagnosis of lung diseases is a complicated and time-consuming task for radiologists. Often radiologists struggle with accurately diagnosing lung diseases, They use Commonly CT imaging signs (CISs) which common appear in CT lung nodules in the diagnosis of lung diseases. Computer-aided diagnosis systems (CAD) can automatically diagnose and detect these signs by analyzing CT scans, which will reduce radiologists workload. The diagnosis and recognition efficiency and accuracy can be improved by using content-based medical image retrieval (CBMIR). This paper proposes a new intelligent CBMIR method to retrieve CISs helping in diagnosing and recognize lung diseases by using deep Convolutional Neural Network (CNN). Fine-tuned YOLOv4 (You Only Look Once) object detector model are proposed to fast detect and efficiently localize signs in real-time. The proposed CBMIR system can be applied as a useful and accurate medical instrument for diagnostics. The experimental results show an average detection accuracy of CT signs lung diseases as high as 92% and a mean average precision (MAP) of 0.92 is achieved using the proposed technique. Also, it takes only 0.1 milliseconds for the retrieval process. The proposed system presents high improvement as compared to the other system. It achieved better precision of retrieval results and the fastest run of the retrieval time.

scholarly journals Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning

2021 ◽  
pp. 1-1
Author(s):  
Hongxu Yang ◽  
Caifeng Shan ◽  
R. Arthur Bouwman ◽  
Lukas Dekker ◽  
Alexander Kolen ◽  
...  
Keyword(s):  
Supervised Learning ◽  
Medical Instrument

scholarly journals Studies on the disinfection efficiency of hoa sen medical instrument sterilizing equipment at the general, obstetrics and paediatrics hospitals in TraVinh Province

2019 ◽  
Vol 41 (3) ◽  
Author(s):  
Pham Hoang Long ◽  
Nguyen Hoai Chau ◽  
Nguyen Chi Thanh ◽  
Ngo Quoc Buu
Keyword(s):  
Cell Membrane ◽  
Removal Efficiency ◽  
Medical Instrument ◽  
Culture Method ◽  
Aerobic Bacteria ◽  
Bacterial Cells ◽  
E Coli ◽  
Before And After ◽  
Microbiological Criteria ◽  
Bacterial Cell Membrane

This research aims to study on the disinfection efficiency of Hoa Sen medical instrument sterilizing equipment based on the application of ECA technology at General Hospital and Obstetrics and Paediatrics Hospitals in Tra Vinh. Disinfection using ECA technology is a method that does not require the introduction of special oxidizing agents except of water and salt. ECA solution - Anolyte solution has very strong oxidants, which oxidize components such as protein, lipid, etc. (usually of the bacterial cell membrane) that make the cell membrane decomposed, reducing 77−93% of the respiratory ability of bacterial cells, weakening them and eventually being destroyed. Hoa Sen medical instrument sterilizing equipment has a similar construction form as a regular double washing table with two wash basins, wherein one sink with a faucet which produces purified water, while other one has a faucet that gives anolyte solution for sterilization. Both faucets are based on a touch support. At the bottom of the sink an anolyte solution production system was installed. Valorization of the disinfection ability of the Hoa Sen medical instrument sterilizing equipment was based on the determination of the number of microorganisms on the surface of the instrument before and after being soaked with an antiseptic washing table. Microbiological criteria are the number of aerobic bacteria, E. Coli and Coliforms. Analytical samples were quantified by culture method on agar plates. Analysis of total aerobic bacteria, E. Coli and Coliforms bacteria according to Vietnam Standard TCVN 4884:2015, TCVN 6846:2007 and TCVN 6848:2007, respectively. The results showed that bacterial removal efficiency was elevated with a novel Hoa Sen sterilizing equipment anolyte. In laboratory scale, E. Coli and Coliforms bacteria with a density of 105 CFU/mL were completely removed in 30 sec contact with an anolyte solution of 300 mg/L active chlorine concentration. In hospital scale, the removal efficiency of total aerobic bacteria on the surface of medical instruments after surgery was 99% for one minute disinfection time. For E. Coli and Coliforms bacteria, the results of the analysis were not detected in both cases before and after sterilization. 

Experimental study to control the insertion resistance of internal medical instrument using magnetic field oscillation

2007 ◽  
Vol 40 (2) ◽  
pp. 339-344 ◽  
Author(s):  
K. Yoshinaka ◽  
K. Takashima ◽  
T. Okazaki ◽  
K. Ikeuchi ◽  
T. Washio ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Experimental Study ◽  
Medical Instrument ◽  
Field Oscillation

Position measurement of internal medical instrument using Magnet impedance sensor

2006 ◽  
Vol 39 ◽  
pp. S210
Author(s):  
K. Yoshinaka ◽  
K. Takashima ◽  
T. Okazaki ◽  
T. Washio ◽  
K. Mizuhara ◽  
...  
Keyword(s):  
Medical Instrument ◽  
Position Measurement ◽  
Impedance Sensor
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