Optimization of a quantitative signal detection algorithm for spontaneous reports of adverse events post immunization

2012 ◽  
Vol 22 (5) ◽  
pp. 477-487 ◽  
Author(s):  
Lionel Van Holle ◽  
Vincent Bauchau
Keyword(s):  
Adverse Events ◽  
Signal Detection ◽  
Detection Algorithm ◽  
Post Immunization ◽  
Spontaneous Reports ◽  
Quantitative Signal Detection

scholarly journals One size does not fit all: a summary of signal detection methods

2021 ◽  
Vol 2 (3) ◽  
pp. 4-6
Author(s):  
Dr. Rajrajeshwari R. Patil ◽  
Dr. Vivek Singh
Keyword(s):  
Adverse Events ◽  
Signal Detection ◽  
Health Care Professionals ◽  
Quantitative Methods ◽  
Detection Methods ◽  
Universal Method ◽  
Spontaneous Reports ◽  
Safety Alert ◽  
The Right ◽  
Safety Signals

The selection of an appropriate signal detection method is pivotal in the identification process of safety signals in pharmacovigilance. Nevertheless, the early detection of safety signals is even more important to prevent the occurrence of another thalidomide tragedy in humans. Spontaneous reports, follow-up studies, scientific literature, preclinical & clinical studies, are valuable sources of adverse events; but on the other hand, these reported adverse events are extremely diverse, hence comprehending this can result in formulating the right signal detection and evaluation strategies. Broadly, signal detection methods fall into two categories: qualitative and quantitative, each having its significance; while the quantitative methods help to handle the voluminous data during signal detection, the qualitative one does its part to pick the rare signals. Hence, there is no single universal method that would be a perfect fit to identify safety signals from all data sources or for all types of adverse events. Further, the signal detection process involves a series of steps right from signal detection to its final assessment & submission, to regulatory authorities confirming a signal as a 'possible safety alert'. Finally, the completed task of finding a confirmed safety alert would be meaningless if it does not reach the end-users of the drug concerned. Therefore, effective communication to health care professionals, patients including clinical trial subjects, pharmaceutical companies, and other stakeholders is equally important.

An automatic seismic signal detection algorithm based on the Walsh transform

1981 ◽  
Vol 71 (4) ◽  
pp. 1351-1360
Author(s):  
Tom Goforth ◽  
Eugene Herrin
Keyword(s):  
Signal Detection ◽  
Real Time ◽  
Seismic Signal ◽  
Detection Algorithm ◽  
Machine Language ◽  
Walsh Transform ◽  
Time Signal ◽  
Data Systems ◽  
Detection Capability ◽  
Short Period

abstract An automatic seismic signal detection algorithm based on the Walsh transform has been developed for short-period data sampled at 20 samples/sec. Since the amplitude of Walsh function is either +1 or −1, the Walsh transform can be accomplished in a computer with a series of shifts and fixed-point additions. The savings in computation time makes it possible to compute the Walsh transform and to perform prewhitening and band-pass filtering in the Walsh domain with a microcomputer for use in real-time signal detection. The algorithm was initially programmed in FORTRAN on a Raytheon Data Systems 500 minicomputer. Tests utilizing seismic data recorded in Dallas, Albuquerque, and Norway indicate that the algorithm has a detection capability comparable to a human analyst. Programming of the detection algorithm in machine language on a Z80 microprocessor-based computer has been accomplished; run time on the microcomputer is approximately 110 real time. The detection capability of the Z80 version of the algorithm is not degraded relative to the FORTRAN version.

scholarly journals Major Aspects of Detection and Monitoring of Adverse Reactions Associated with Cephalosporin Antibiotic Treatment

2021 ◽  
Vol 9 (1) ◽  
pp. 34-42
Author(s):  
E. Yu. Demchenkova ◽  
G. I. Gorodetskaya ◽  
I. A. Mazerkina ◽  
M. V. Zhuravleva ◽  
A. S. Kazakov ◽  
...  
Keyword(s):  
Adverse Events ◽  
Adverse Drug Reactions ◽  
Patient Information ◽  
Adverse Reactions ◽  
Stevens Johnson Syndrome ◽  
Drug Reactions ◽  
Patient Information Leaflets ◽  
Information Leaflets ◽  
Spontaneous Reports ◽  
Cephalosporin Antibiotics

Widespread use of cephalosporin antibiotics in clinical practice calls for greater attention to the risk of adverse drug reactions. Information on serious or unexpected adverse events reported during post-marketing experience is submitted to national and international pharmacovigilance databases. Analysis of these reports helps to identify new adverse drug reactions.The aim of the study was to analyse the safety profile of cephalosporin antibiotics based on spontaneous reports in the international VigiBase database.Materials and methods: the analysis of the adverse reaction profile of cephalosporin antibiotics was based on MedDRA system organ classes and included spontaneous reports submitted to VigiBase from the moment of its creation until August 2020.Results: the authors identified the most clinically significant adverse reactions for different cephalosporin generations. They compared and analysed information on adverse events in VigiBase and in patient information leaflets of medicinal products authorised in the Russian Federation. It was demonstrated that some serious events described in VigiBase spontaneous reports for V-generation cephalosporins are not included in the “Side effects” section of the patient information leaflets. According to VigiBase, the use of ceftaroline was associated with the development of generalised exfoliative dermatitis, Stevens–Johnson syndrome, tubulointerstitial nephritis, while the use of ceftolozane was associated with acute kidney injury, renal insufficiency, sepsis, pneumonia, and respiratory insufficiency.Conclusion: reporting of unexpected and serious adverse drug reactions to cephalosporin antibiotics is an important task of healthcare practitioners. Availability of information on class-specific and generation-specific serious adverse reactions will help predict and prevent their development.

Study of BLAST Signal Detection Algorithm in LTE System

2013 ◽  
Vol 756-759 ◽  
pp. 3183-3188
Author(s):  
Tao Lei ◽  
Deng Ping He ◽  
Fang Tang Chen
Keyword(s):  
Signal Detection ◽  
High Speed ◽  
Data Communication ◽  
Detection Algorithm ◽  
Detection Performance ◽  
Detection Algorithms ◽  
High Speed Data ◽  
Simulation Results ◽  
Better Than

BLAST can achieve high speed data communication. Its signal detection directly affects performance of BLAST receiver. This paper introduced several signal detection algorithmsZF algorithm, MMSE algorithm, ZF-SIC algorithm and MMSE-SIC algorithm. The simulation results show that the traditional ZF algorithm has the worst performance, the traditional MMSE algorithm and the ZF-SIC algorithm is similar, but with the increase of the SNR, the performance of ZF-SIC algorithm is better than MMSE algorithm. MMSE-SIC algorithm has the best detection performance in these detection algorithms.

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