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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>Signal Processing and Renewable Energy (SPRE)</JournalTitle>
<Issn>2588-7335</Issn>
<Volume>10</Volume>
<Issue>1</Issue>
<PubDate PubStatus="epublish">
<Year>2026</Year>
<Month>03</Month>
<Day>31</Day>
</PubDate>
</Journal>
<ArticleTitle>High-Accuracy and Low-Latency ECG-Based Heart Rate Detection Using High-Level Synthesis on Zynq-7000</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage></FirstPage>
<LastPage></LastPage>
<ELocationID EIdType="doi">10.57647/spre.2026.1001.05</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Maryam Sadat</FirstName>
<LastName>Jalali Shahri</LastName>
<Affiliation>Department of Electrical Engineering, Ma.C., Islamic Azad University, Mashhad, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Farzan</FirstName>
<LastName>Khatib</LastName>
<Affiliation>Department of Electrical Engineering, Ma.C., Islamic Azad University, Mashhad, Iran</Affiliation>
<Identifier Source="ORCID">https://orcid.org/0000-0003-3352-8429</Identifier>
</Author>
<Author>
<FirstName>Seyyed Javad</FirstName>
<LastName>Seyyed Mahdavi</LastName>
<Affiliation>Department of Electrical Engineering, Ma.C., Islamic Azad University, Mashhad, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Alireza</FirstName>
<LastName>Heidari Bakavoli</LastName>
<Affiliation>Department of Medicine, Mashhad University of Medical Sciences. Mashhad, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Mahdi</FirstName>
<LastName>Kahrom</LastName>
<Affiliation>Department of Medicine, Mashhad University of Medical Sciences. Mashhad, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2026</Year>
<Month>03</Month>
<Day>31</Day>
</PubDate>
</History>
<Abstract>Heart rate is one of the most critical vital signs for assessing an individual’s health. Therefore, researchers are trying to find a precise and fast method of calculating and monitoring the heart rate. One of the common methods for calculating the heart rate is using electrocardiogram signals (ECG). So far, many designs have been created for heart rate calculation using these signals, but most of these methods involve lengthy and complex pre-processing steps. Therefore, this study aims to employ a new simple structure for heart rate calculation using electrocardiogram signals, unlike the previous complex methods (wavelet transform, Tompkins, Pan). In addition, the proposed design was implemented on the Zynq series 7 chip by a high-level synthesis method to evaluate its performance. This design, besides simplicity, has a relatively high accuracy of about 99.45%.</Abstract>
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<Object Type="keyword">
<Param Name="value">Heartbeat</Param>
</Object>
<Object Type="keyword">
<Param Name="value">ECG (Electrocardiogram)</Param>
</Object>
<Object Type="keyword">
<Param Name="value">FPGA (Field Programmable Gate Arrays)</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Zynq</Param>
</Object>
</ObjectList>
</Article>
</ArticleSet>