The newest global pharmacovigilance regulations including the EU’s updated 2025/1466 framework require Marketing Authorisation Holders to continuously monitor EudraVigilance, apply standardized data models (MedDRA, ISO IDMP, HL7), strengthen signal-management documentation, and ensure stricter oversight of subcontracted PV activities. Regulators globally, including the FDA and emerging markets, now expect proactive signal detection, validated safety systems, high-quality ICSR reporting, and timely updates to product information when new signals emerge.
Specialized partners like Atvigilx, known for expert pharmacovigilance consulting services, help companies meet these fast-evolving requirements by implementing compliant signal-detection frameworks, enhancing data quality, and ensuring global regulatory alignment.
Iickho Song has written: 'Advanced theory of signal detection' -- subject(s): Signal detection
AM is amplitude modulation. AM detection is the process of demodulation or recovering the information encoded in the signal through amplitude modulation. AM detection can be done through a simple diode detector which rectifies the AM signal.
Synchronous detection, also known as coherent detection, involves multiplying the incoming signal with a reference signal that is phase-aligned, allowing for accurate recovery of the signal even in the presence of noise. Envelop detection, on the other hand, is a simpler method primarily used for amplitude modulation (AM) signals, where the envelope of the modulated signal is extracted to retrieve the original message. While synchronous detection is more complex and effective in various conditions, envelope detection is easier to implement and is often used in applications where precise phase information is not critical.
Detection theory allows one to quantify the ability to discern between information bearing patterns and random patterns that causes confusion in the patterns. In electronics, detection theory is often called signal recovery.
Ralph Dieter Hippenstiel has written: 'Detection theory' -- subject(s): Mathematics, Signal processing, Electronic surveillance, Digital techniques, Signal theory (Telecommunication), Detectors, Signal detection
A matched filter is a filter used in signal processing to maximize the signal-to-noise ratio for a known signal in the presence of noise. It is designed by matching the filter characteristics to the shape of the input signal to enhance the detection performance. It is commonly used in radar systems and communication systems for signal detection and recovery.
Signal Detection Theory proposes that the detection of stimuli depends on both the intensity of the stimulus and the individual's psychological factors, such as motivation and expectancy. This theory suggests that perception is influenced by both the sensitivity of sensory processes and cognitive factors.
The best formula for detection limit is usually the limit of detection (LOD) or the limit of quantification (LOQ). These are commonly calculated using the signal-to-noise ratio method, where the limit of detection is three times the standard deviation of the blank signal divided by the slope of the calibration curve, and the limit of quantification is ten times the standard deviation of the blank signal divided by the slope of the calibration curve.
James P. Egan has written: 'Signal detection theory and ROC-analysis' -- subject(s): Decision making, Psychometrics, Psychophysics, Sensation, Signal detection (Psychology)
Signal detection theory adds the idea that decision-making is involved in detecting signals, rather than just relying on sensory thresholds. It also considers factors like motivation, expectation, and experience in detecting and responding to signals, providing a more comprehensive understanding of how we perceive and interpret sensory information.
The sensitivity of a signal detection system is measured by calculating d', which is a statistical measure that takes into account both the hit rate (correctly detecting a signal) and the false alarm rate (incorrectly detecting a signal). A higher d' value indicates greater sensitivity in distinguishing between signal and noise.
Signal detection theory, is a means to quantify the ability to discern between signal and noise. There are a number of determiners of how a detecting system will detect a signal, and where its threshold levels will be. When the detecting system is a human being, experience, expectations, physiological state (e.g. fatigue) and other factors can affect the threshold applied