Repolarization Heterogeneity of Magnetocardiography Predicts Long-Term Prognosis in Patients with Acute Myocardial Infarction

Her, Ae Young; Park, Jai Wun

doi:10.3349/ymj.2016.57.6.1305

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…So far, numerous studies have recommended MCG as a promising diagnostic tool for MI. [12,13] However, to the best of our knowledge, there has not been any systematic review and meta-analysis report on the efficacy and safety of MCG diagnosis for MI; yet, it is necessary to deliver a systematic and comprehensive evaluation of the diagnostic approach to provide the clinicians and patients with a new diagnostic approach.…”

Section: Introductionmentioning

confidence: 99%

Magnetocardiograph as a noninvasive and radiation-free diagnostic device for myocardial infarction: a systematic review and meta-analysis

Han

Guo

et al. 2023

Emerg Crit Care Med

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BackgroundThis study aimed to evaluate the diagnostic accuracy of magnetocardiograph, a relatively new noninvasive device, in patients with myocardial infarction (MI).MethodsTo identify studies assessing the diagnostic accuracy of magnetocardiography for MI, we searched four databases on November 7, 2022, the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, and Web of Science, plus ClinicalTrials.gov. Three reviewers screened the studies independently and emailed the authors for more precise data when necessary. The Quality Assessment of Diagnostic Accuracy Studies 2 tool was used to evaluate the quality of the included studies. STATA (version 17; Stata Corporation, College Station, TX, USA) was used for meta-analysis of 2 × 2 contingency table data.ResultsA total of 6 articles were included in this study. The diagnostic parameters of all included studies were summarized as follows: the pooled sensitivity was 0.91 (95% confidence intervals [95% CIs]: 0.81–0.96; I2 = 88.54); specificity was 0.83 (95% CI: 0.75–0.89; I2 = 83); positive likelihood ratio was 5.3 (95% CI: 3.5–8.2); negative likelihood ratio was 0.1 (95% CI: 0.04–0.24); and diagnostic odds ratio was 51 (95% CI: 16–161). The area under the curve for the receiver operating characteristic curve was 0.92 (95% CI: 0.89–0.94). After metaregression analysis, we found that the number of channels and the way of environmental magnetic noise elimination were heterogeneous sources.ConclusionIn summary, our meta-analysis shows that magnetocardiography holds a high accuracy in diagnosing MI and takes the advantages of noninvasive, radiation-free, and noncontact. However, further high-quality studies to confirm its usefulness in diagnosing MI are warranted.

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Section: Introductionmentioning

confidence: 99%

Magnetocardiograph as a noninvasive and radiation-free diagnostic device for myocardial infarction: a systematic review and meta-analysis

Han

Guo

et al. 2023

Emerg Crit Care Med

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“…By measuring the magnetic anomaly signals and processing the data, the location information of the target can be obtained [1]. The magnetic anomaly detection (MAD) technology has been widely used in underwater target detection [2][3][4], unexploded ordnance (UXO) detection [5][6][7], mineral exploration [8,9], biomagnetic signal detection [10,11], and many other fields due to its high concealment, strong penetration, fast speed, and high precision. Magnetic gradient tensor detection, compared with magnetic field scalar and vector detection, exhibits certain advantages, such as being less affected by the magnetization direction of the target, immunity to the background field, and providing more abundant magnetic field information [12].…”

Section: Introductionmentioning

confidence: 99%

A New Magnetic Target Localization Method Based on Two-Point Magnetic Gradient Tensor

et al. 2022

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The existing magnetic target localization methods are greatly affected by the geomagnetic field and exist approximation errors. In this paper, a two-point magnetic gradient tensor localization model is established by using the spatial relation between the magnetic target and the observation points derived from magnetic gradient tensor and tensor invariants. Based on the model, the equations relating to the position vector of magnetic target are constructed. Solving the equations, a new magnetic target localization method using only a two-point magnetic gradient tensor and no approximation errors is achieved. To accurately evaluate the localization accuracy of the method, a circular trajectory that varies in all three directions is proposed. Simulation results show that the proposed method is almost error-free in the absence of noise. After adding noise, the maximum relative error percentage is reduced by 28.4% and 2.21% compared with the single-point method and the other two-point method, respectively. Furthermore, the proposed method is not affected by the variation in the distance between two observation points. At a detection distance of 20 m, the maximum localization error is 1.86 m. In addition, the experiments also verify that the new method can avoid the influence of the geomagnetic field and the variation in the distance, and achieve high localization accuracy. The average relative error percentage in the y-direction is as low as 3.78%.

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A Review of Magnetic Field Emissions From the Human Body: Sources, Sensors, and Uses

Zhu

Kiourti

2022

IEEE Open J. Antennas Propag.

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It has long been common practice to capture the electric fields emanated by the human body as a means of detecting and/or monitoring diverse health conditions. However, these electric fields are strongly impacted by the complex permittivity of biological tissues which deteriorates their waveforms and limits their diagnostic capabilities. As an alternative, recent progress has been made in the measurement of bio-magnetic fields occur from the natural currents flowing through the body. The advantage in this case is, since tissues are non-magnetic, magnetic fields propagate in an uninterrupted manner towards the skin surface where they are eventually collected. This unveils game-changing opportunities for future medical diagnostics. Nevertheless, a major challenge associated with sensing these naturally emanated magnetic fields is that they are extremely weak, and in fact orders of magnitude smaller than those generated by the Earth. To this end, extensive efforts have been pursued to realize sensing technology that is sensitive enough to collect biomagnetic fields. Example fields of use include magnetomyography (MMG), magnetocardiography (MCG), magnetoencephalography (MEG), and Magnetoneurography (MNG) (including magnetospinography (MSG)). This review will provide an overview of technologies used to sense bio-magnetic fields, list their merits and limits in a critical manner, and discuss clinical applications.INDEX TERMS Bioelectromagnetics, magnetocardiography (MCG), magnetoencephalography (MEG), magnetomyography (MMG), Magnetoneurography (MNG), magnetospinography (MSG).

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Repolarization Heterogeneity of Magnetocardiography Predicts Long-Term Prognosis in Patients with Acute Myocardial Infarction

Cited by 6 publications

References 20 publications

Magnetocardiograph as a noninvasive and radiation-free diagnostic device for myocardial infarction: a systematic review and meta-analysis

Magnetocardiograph as a noninvasive and radiation-free diagnostic device for myocardial infarction: a systematic review and meta-analysis

A New Magnetic Target Localization Method Based on Two-Point Magnetic Gradient Tensor

A Review of Magnetic Field Emissions From the Human Body: Sources, Sensors, and Uses

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