Methodology of ECG Interpretation in the Nagoya Program

1990 ◽  
Vol 29 (04) ◽  
pp. 341-345 ◽  
Author(s):  
N. Okamoto ◽  
M. Yokoi ◽  
T. Iwatsuka ◽  
N. Ohsawa ◽  
M. Okajima
Keyword(s):  
Decision Tree ◽  
Gold Standard ◽  
Software Package ◽  
Current Status ◽  
Signal Acquisition ◽  
Trial And Error ◽  
Commercial Products ◽  
Second Development ◽  
Ecg Interpretation ◽  
Future Plans

AbstractThe outline of the Nagoya Program, the most representative software package for computerized electrocardiography in Japan, is described. First, the history and current status of research and its transfer to commercial products for computerized interpretation of electrocardiograms is briefly reviewed. Second, development and testing of the Nagoya Program is depicted, referring to a gold standard for evaluation and the database being used for this purpose, and to its participation in the CSE study. Third, a description of signal acquisition and wave identification is given, followed by the detection of rhythm disturbances. Next, algorithms for contour classification, which consist of decision-tree logic established through trial and error and making use of the database of ECGs, are described. Finally, special features and future plans of the Nagoya Program are mentioned.

Indian Pharmaceutical Industries Current Status and Togetherness to Overcome Speed Breakers in Term of Quality Issues to Make India as a Global Pharma Destination

2020 ◽  
Vol 07 ◽  
Author(s):  
Vikas Rathee ◽  
Kapil Pihwal ◽  
Neelam Pawar ◽  
Sheikh Aamir ◽  
Mohammad Shahbaz Alam ◽  
...  
Keyword(s):  
Generic Drugs ◽  
Regulatory Compliance ◽  
Pharmaceutical Products ◽  
Current Status ◽  
Family Welfare ◽  
United States Dollar ◽  
Doing Business ◽  
Pharmaceutical Industries ◽  
Governmental Control ◽  
Future Plans

: Regulatory is the heart of the Pharmaceutical Industries which acts as an interface between the industries and government authorities for the growth and development of pharmaceutical industry system of their respective country. In 2017, India was a pharmaceutical country valued at USD (United States Dollar) 13 billion and accounting for 20 percent of worldwide exports, making the country the main supplier of generic drugs worldwide. Ministry of Chemicals and Fertilizers, the Department of Pharmaceutical Products said that the national pharmaceutical market's gross revenue reached approximately US $ 18.12 billion in 2018 (Rs 129,015), growing 9.4% year-on-year and export retention in 2018 was US $ 17.88 billion. 19.14 billion US$ in 2019. The Union Ministry of Health and Family Welfare has increased by 13.1 percent to Rs 61,398 crore (US $ 8.98 billion) in the Union Budget 2019-20. The Indian pharmaceutical market is facing many difficulties such as central and state regulatory compliance, data integrity, ethics committee in clinical trials, governmental control over the price of medicine, lack of research and so on. We are discussing in our article that top 10 pharmaceutical companies are doing business, their turnover in 2020 and challenge in today's era. We discuss future plans and solutions to problems, so that they can be ranked first in the world.

The NASA Mass Change Designated Observable Study: Progress and Future Plans

2021 ◽  
Author(s):  
David Wiese ◽  
Bernard Bienstock ◽  
David Bearden ◽  
Carmen Boening ◽  
Kelley Case ◽  
...  
Keyword(s):  
Earth Science ◽  
Mass Change ◽  
Current Status ◽  
Line Pair ◽  
National Academy Of Sciences ◽  
System Architectures ◽  
Study Progress ◽  
Study Process ◽  
Definition Of ◽  
Future Plans

<p>The 2017-2027 US National Academy of Sciences Decadal Survey for Earth Science and Applications from Space classified mass change as one of five designated observables having the highest priority in terms of Earth observations required to better understand the Earth system over the next decade.  In response to this designation, NASA initiated multi-center studies with an overarching goal of defining observing system architectures for each designated observable.  Here, we discuss the progress made and future plans for the Mass Change Designated Observable study. Progress includes the development of a Science and Applications Traceability Matrix (SATM), the definition of three different architectural classes that are responsive to the designated science objectives, and a framework to quantitatively link the performance of specific architectures to the SATM.  We will describe the Value Framework that has been developed to assess the value of potential architectures in terms of science return, cost, risk, and technical maturity.  Results highlight the recommendation of satellite-satellite-tracking for the MC observing system, and have identified high value variants as a single in-line pair, dual in-line pairs, and pendulum architectures, which are similar to architectures studied by potential international partners.  The current status of the study process, and future plans will be discussed.</p>

The Current Status and Future Plans for the Monte Carlo Codes MONK and MCBEND

2001 ◽  
pp. 637-642 ◽  
Author(s):  
N. Smith ◽  
T. Shuttleworth ◽  
M. Grimstone ◽  
L. Hutton ◽  
M. Armishaw ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Current Status ◽  
Future Plans

Current status of the SELEKTOR software package

2021 ◽  
pp. 725-727
Author(s):  
K.V. Chudnenko ◽  
I.K. Karpov ◽  
V.A. Bychinski ◽  
D.A. Kulik
Keyword(s):  
Software Package ◽  
Current Status

scholarly journals Long Baseline Interferometry and Binary Stars

1983 ◽  
Vol 62 ◽  
pp. 191-201
Author(s):  
John Davis
Keyword(s):  
Binary Stars ◽  
Binary Systems ◽  
Current Status ◽  
Fundamental Properties ◽  
Long Baseline ◽  
Stellar Interferometer ◽  
Spectroscopic Binary ◽  
Future Plans ◽  
Intensity Interferometer

AbstractThe observations of α Vir with the Narrabri Stellar Intensity Interferometer demonstrated the potential of long baseline interferometry for the determination of fundamental properties of double-lined spectroscopic binary systems. Since the completion of the programme with the Narrabri instrument the Chatterton Astronomy Department has been conducting a study aimed at developing a stellar interferometer with limiting magnitude V ≳ +8 and maximum baseline ≳ 1 km (resolution at 500 nm ≲ 7 × 10−5 seconds of arc). The way in which a long baseline interferometer may be used in the study of binary stars is outlined, the requirements for this work are discussed, and the current status and future plans of the Chatterton Astronomy Department’s programme to develop a new long baseline interferometer are summarised.

scholarly journals NIMG-20. EVALUATION OF HEAD SEGMENTATION QUALITY FOR TREATMENT PLANNING OF TUMOR TREATING FIELDS IN BRAIN TUMORS

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi165-vi166 ◽  
Author(s):  
Reuben R Shamir ◽  
Ze’ev Bomzon
Keyword(s):  
Decision Tree ◽  
Electric Fields ◽  
Gold Standard ◽  
Similarity Measures ◽  
Optimal Placement ◽  
Absolute Difference ◽  
Tumor Treating Fields ◽  
Segmentation Quality ◽  
Highly Correlated ◽  
Leave One Out

Abstract Tumor treating fields (TTFields) is an FDA approved therapy for the treatment of glioblastoma multiform (GBM), malignant pleural mesothelioma (MPM), and currently being investigated for additional tumor types. TTFields are delivered to the tumor through the placement of transducer arrays (TAs) placed on the patient’s shaved scalp. The positions of the TAs are associated with treatment outcomes via simulations of the electric fields. Therefore, we are currently developing a method for recommending optimal placement of TAs. A key step to achieve this goal is to correctly segment the head into tissues of similar electrical properties. Visual inspection of segmentation quality is invaluable but time-consuming. Automatic quality assessment can assist in automatic refinement of the segmentation parameters, suggest flaw points to the user and indicate if the segmented method is of sufficient accuracy for TTFields simulation. As a first step in this direction, we identified a set of features that are relevant to atlas-based segmentation and show that these are significantly correlated (p < 0.05) with a similarity measure between gold-standard and automatically computed segmentations. Furthermore, we incorporated these features in a decision tree regressor to predict the similarity of the gold-standard and computed segmentations of 20 TTFields patients using a leave-one-out approach. The predicted similarity measures were highly correlated with the actual ones (average absolute difference 3% (SD = 3%); r = 0.92, p < 0.001). We conclude that automatic quality estimation of segmentations is feasible by incorporating segmentation-relevant features with statistical and machine learning methods, such as decision tree regressor.

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