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Titlebook: Biomedical Signal Processing; Advances in Theory, Ganesh Naik Book 2020 Springer Nature Singapore Pte Ltd. 2020 Biomedical Signal Processi

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發(fā)表于 2025-3-28 15:44:46 | 只看該作者
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發(fā)表于 2025-3-29 06:16:30 | 只看該作者
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發(fā)表于 2025-3-29 09:03:42 | 只看該作者
Unipolar Cardiac Leads Between History and Sciences . and is assumed negligible (near zero) in amplitude. Consequently, the precordial leads have been named as the .. Although this assumption was found incorrect immediate after this reference potential was introduced, it was difficult to measure its real amplitude. We recently introduced a 15-lead
46#
發(fā)表于 2025-3-29 12:15:42 | 只看該作者
Novel Methodology for Cardiac Arrhythmias Classification Based on Long-Duration ECG Signal Fragments around the world. Moreover, different types of heart diseases are the most common causes of mortality. This chapter, therefore, investigates a cardiac disorders database (ECG) with 17 classes (normal sinus rhythm, the rhythm of the pacemaker, and fifteen arrhythmias) using a novel classification me
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發(fā)表于 2025-3-29 17:08:32 | 只看該作者
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發(fā)表于 2025-3-30 00:26:42 | 只看該作者
Syntactic Methods for ECG Signal Diagnosis and QRS Complexes Recognitionescribe natural languages and software engineering. However, the grammatical discipline can be extended to join other areas of applications such as ECG signal analysis. Thus, this chapter will provide an overview of the related methods and show that syntactic methods and regular grammar can be suppo
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發(fā)表于 2025-3-30 06:59:02 | 只看該作者
Extraction of ECG Significant Features for Remote CVD Monitoringgh mortality rate, around 30% of deaths all over the world are due to the CVD as per the World Health Organization (WHO) statistics. With the advancement of medical industry and huge growth in IoT technology is gradually making the remote CVD monitoring a reality. During the real-time Electrocardiog
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