Journals / Türk Kardiyoloji Derneği Arşivi / 2021 / Cilt: 49 - Sayı: 6

Filtering electrocardiogram: Music, math, and ST-elevation myocardial infarction

Elektrokardiyogram filtreleri: Müzik, matematik ve ST-yükselmeli miyokart enfarktüsü

Pages
509–511
Publication Date
2022-11-06
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, this report discusses the basic mechanisms of this frequently overlooked phenomenon and methods to avoid it.

📌 3 Key Takeaways

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Objective & Hypothesis:Summary– Clinicians should have a basic understanding of the working principle of the instruments they use to avoid potential pitfalls caused by post-processing of the acquired biological signals.
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Key Findings & Data:An electrocardiogram (ECG) is no exception; many different errors can arise during the acquisition or the processing of the ECG data, which may result in dangerous misdiagnoses.
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Conclusion & Impact:In addition, this report discusses the basic mechanisms of this frequently overlooked phenomenon and methods to avoid it.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Summary– Clinicians should have a basic understanding of the working principle of the instruments they use to avoid potential pitfalls caused by post-processing of the acquired biological signals. An electrocardiogram (ECG) is no exception; many different errors can arise during the acquisition or the processing of the ECG data, which may result in dangerous misdiagnoses. We present a case where the use of an inappropriate high-pass filter led to a false diagnosis of ST-elevation myocardial infarction. In addition, this report discusses the basic mechanisms of this frequently overlooked phenomenon and methods to avoid it.

Özet

Özet– Klinisyenler, biyolojik sinyallerin işlenmesi sırasında oluşabilecek potansiyel hatalardan kaçınabilmek için, kullandıkları cihazların temel çalışma prensipleri konusunda bir miktar fikir sahibi olmalıdır. Elektrokardiyogram (EKG) da buna dahildir; EKG sinyalinin kaydı ve işlenmesi sırasında pek çok tehlikeli yanlış tanıya yol açabilecek hatalar meydana gelebilir. Biz burada uygunsuz yüksek-geçiş filtresinin yanlış ST-yükselmeli miyokart enfarktüsü tanısına yol açtığı bir olgu sunuyoruz. Ayrıca sıklıkla göz ardı edilen bu durumun temel mekanizmalarını ve bu durumdan nasıl kaçınılacağını da tartışıyoruz.

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Cite This Article

Aslanger, E. K., Tokdil, H., Tokdil, K. O., Yalın, K. (2022). Filtering electrocardiogram: Music, math, and ST-elevation myocardial infarction. Türk Kardiyoloji Derneği Arşivi, Cilt: 49 - Sayı: 6, 509–511. https://ajindex.com/articles/631867

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References (1)

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