• Title/Summary/Keyword: Digital Holter monitor

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Practical Application Method of Holter Monitoring with Unipolar Precordial Chest Lead in Dog (개에서 단극 심장 앞 흉부유도를 이용한 Holter monitoring의 임상적 적용 방법)

  • Jung, Yun-Chan;Bhang, Dong-Ha;Kim, You-Seok;Hwang, Cheol-Yong;Youn, Hwa-Young
    • Journal of Veterinary Clinics
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    • v.28 no.1
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    • pp.128-132
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    • 2011
  • Holter monitoring has been recognized as an useful noninvasive instrument for monitoring the cardiac electrical activity over 24 to 48 hours. Because the surface electrocardiogram (ECG) is recorded only for several seconds to minutes, it often misses or underestimates the underlying arrhythmia. The surface ECG is also easily influenced by depolarization potentials from skeletal muscle by the movement of patient (especially muscle tremor). However, holter monitoring is less affected by such factors. There has been no precedential report in veterinary medicine applying digital holter monitor with unipolar precordial chest lead using 4 electrodes. This article describes its clinical indications, equipment and technical application method in dogs.

Development of Holter ECG Monitor with Improved ECG R-peak Detection Accuracy (R 피크 검출 정확도를 개선한 홀터 심전도 모니터의 개발)

  • Junghyeon Choi;Minho Kang;Junho Park;Keekoo Kwon;Taewuk Bae;Jun-Mo Park
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.2
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    • pp.62-69
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    • 2022
  • An electrocardiogram (ECG) is one of the most important biosignals, and in particular, continuous ECG monitoring is very important in patients with arrhythmia. There are many different types of arrhythmia (sinus node, sinus tachycardia, atrial premature beat (APB), and ventricular fibrillation) depending on the cause, and continuous ECG monitoring during daily life is very important for early diagnosis of arrhythmias and setting treatment directions. The ECG signal of arrhythmia patients is very unstable, and it is difficult to detect the R-peak point, which is a key feature for automatic arrhythmias detection. In this study, we develped a continuous measuring Holter ECG monitoring device and software for analysis and confirmed the utility of R-peak of the ECG signal with MIT-BIH arrhythmia database. In future studies, it needs the validation of algorithms and clinical data for morphological classification and prediction of arrhythmias due to various etiologies.