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A Bayesian framework for safety signal detection from medical device data
Journal of Biopharmaceutical StatisticsSafety evaluation is important during both the pre-market clinical trials and post-market surveillance. In either a pre-market or post-market setting wherein the safety of a device is compared to that of a control device, it is desirable to identify any difference in the safety between two devices as expeditiously as possible.
Jianjin, Xu +3 more
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ECG signal analysis and arrhythmia detection on IoT wearable medical devices
2016 5th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2016Healthcare is one of the most rapidly expanding application areas of the Internet of Things (IoT) technology. IoT devices can be used to enable remote health monitoring of patients with chronic diseases such as cardiovascular diseases (CVD). In this paper we develop an algorithm for ECG analysis and classification for heartbeat diagnosis, and implement
Dimitra Azariadi +3 more
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Progressive anomaly detection in medical data using vital sign signals
SPIE Proceedings, 2016Vital Sign Signals (VSSs) have been widely used for medical data analysis. One classic approach is to use Logistic Regression Model (LRM) to describe data to be analyzed. There are two challenging issues from this approach. One is how many VSSs needed to be used in the model since there are many VSSs can be used for this purpose.
Cheng Gao +5 more
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Spatial-Cluster Signal Detection in Medical Devices Using Likelihood Ratio Test Method
Therapeutic Innovation & Regulatory Science, 2020With more and more medical device databases being developed, there is an increasing interest in learning the geographical patterns of medical-device-related adverse events (AEs). For a specific medical device and an adverse event (AE) of interest, our aim is to detect a spatial-cluster signal that has a significantly higher AE rate than the AE rates ...
Tingting, Hu +3 more
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1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929), 2002
We apply the methods proposed by Heiner (1992) and Heiner et al. (1994) for detecting anomalies in existing executable INMOS C code for a parallel program using static and dynamic analyses of Petri nets. The architecture used is a transputer network.
G. Lindner, M. Heiner, T. Kobienia
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We apply the methods proposed by Heiner (1992) and Heiner et al. (1994) for detecting anomalies in existing executable INMOS C code for a parallel program using static and dynamic analyses of Petri nets. The architecture used is a transputer network.
G. Lindner, M. Heiner, T. Kobienia
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Proposed Statistical Methods for Signal Detection of Adverse Medical Device Events
Drug Information Journal, 1998This paper proposes several statistical approaches for analyzing spontaneous reports of adverse medical device events. The chi-square statistic is used to detect a sudden increase in reports from pairwise comparison of numbers of reports per month. The Cox-Stuart nonparametric trend test is used to detect a gradual, increasing trend in adverse events ...
Chang S. Lao +2 more
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Applications of Signal Detection Theory in Monitoring Performance and Medical Diagnosis
Proceedings of the Human Factors Society Annual Meeting, 1980Signal detection theory (SDT) provides a means for distinguishing between accuracy and decision strategies in evaluating observer performance in decision-making tasks. This is useful in determining which general human engineering principles, for example, design, or selection and training, are likely to be effective in a particular situation.
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[Detection method of nonlinear magnetized harmonic signal of medical magnetic nanoparticles].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2021Medical magnetic nanoparticles are nano-medical materials with superparamagnetism, which can be collected in the tumor tissue through blood circulation, and magnetic particle imaging technology can be used to visualize the concentration of magnetic nanoparticles in the living body to achieve the purpose of tumor imaging.
Yangyang, Liu +5 more
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2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
The purpose of this study is to develop method for improvement of low-contrast signal detectability of general X-ray images used for observing overviews, included noise reduction technique and signal amplification technique, that are difficult to detect in the observing overview.
Akihiro Sugiura +2 more
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The purpose of this study is to develop method for improvement of low-contrast signal detectability of general X-ray images used for observing overviews, included noise reduction technique and signal amplification technique, that are difficult to detect in the observing overview.
Akihiro Sugiura +2 more
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Signal Detection for Medical Scientists
2021Ram Tiwari, Jyoti Zalkikar, Lan Huang
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