Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram
Abstract Noninvasive electromechanical assessment of cardiovascular function is emerging as a cost-effective method for diagnosis of heart failure and arterial diseases, and for telemedical monitoring of blood pressure and neural disorders. It encompasses simultaneous acquisition of electrocardiogra...
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| Format: | Article |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05781-4 |
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| author | Aleksandar Lazović Vladimir Atanasoski Predrag Tadić Natalija Djordjević Maša Tiosavljević Marija D. Ivanović Ljupčo Hadžievski Arsen Ristić Vladan Vukčević Jovana Petrović |
| author_facet | Aleksandar Lazović Vladimir Atanasoski Predrag Tadić Natalija Djordjević Maša Tiosavljević Marija D. Ivanović Ljupčo Hadžievski Arsen Ristić Vladan Vukčević Jovana Petrović |
| author_sort | Aleksandar Lazović |
| collection | DOAJ |
| description | Abstract Noninvasive electromechanical assessment of cardiovascular function is emerging as a cost-effective method for diagnosis of heart failure and arterial diseases, and for telemedical monitoring of blood pressure and neural disorders. It encompasses simultaneous acquisition of electrocardiographic, phonocardiographic, arterial-pulse, chest-vibration, bioimpedance and other waveforms. The phases and amplitudes of these waveforms are used for construction of disease biomarkers. The procedure includes corrections of biomarker values to daily variation and excursions of heart rate. However, datasets that enable a systematic study of the effects of heart rate on mechanical waveforms are currently not available. Here, we describe SensSmartTech - the first dataset of multiparametric cardiovascular signals systematically measured in a large span of heart rates from 52 to 182 beats per minute, achieved by running on a treadmill. Besides providing the data for biomarker correction, the dataset enables new insights into the cardio-respiratory and electro-mechanical couplings in the cardiovascular system. |
| format | Article |
| id | doaj-art-e37c7eab6371419682e284aa51a9dd02 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-e37c7eab6371419682e284aa51a9dd022025-08-24T11:07:24ZengNature PortfolioScientific Data2052-44632025-08-0112111210.1038/s41597-025-05781-4Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogramAleksandar Lazović0Vladimir Atanasoski1Predrag Tadić2Natalija Djordjević3Maša Tiosavljević4Marija D. Ivanović5Ljupčo Hadžievski6Arsen Ristić7Vladan Vukčević8Jovana Petrović9Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of BelgradeVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of BelgradeSchool of Electronic Engineering, University of BelgradeSchool of Electronic Engineering, University of BelgradeSchool of Electronic Engineering, University of BelgradeSchool of Electronic Engineering, University of BelgradeVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of BelgradeDepartment of Cardiology, University Clinical Center of Serbia, Faculty of Medicine, University of BelgradeDepartment of Cardiology, University Clinical Center of Serbia, Faculty of Medicine, University of BelgradeVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of BelgradeAbstract Noninvasive electromechanical assessment of cardiovascular function is emerging as a cost-effective method for diagnosis of heart failure and arterial diseases, and for telemedical monitoring of blood pressure and neural disorders. It encompasses simultaneous acquisition of electrocardiographic, phonocardiographic, arterial-pulse, chest-vibration, bioimpedance and other waveforms. The phases and amplitudes of these waveforms are used for construction of disease biomarkers. The procedure includes corrections of biomarker values to daily variation and excursions of heart rate. However, datasets that enable a systematic study of the effects of heart rate on mechanical waveforms are currently not available. Here, we describe SensSmartTech - the first dataset of multiparametric cardiovascular signals systematically measured in a large span of heart rates from 52 to 182 beats per minute, achieved by running on a treadmill. Besides providing the data for biomarker correction, the dataset enables new insights into the cardio-respiratory and electro-mechanical couplings in the cardiovascular system.https://doi.org/10.1038/s41597-025-05781-4 |
| spellingShingle | Aleksandar Lazović Vladimir Atanasoski Predrag Tadić Natalija Djordjević Maša Tiosavljević Marija D. Ivanović Ljupčo Hadžievski Arsen Ristić Vladan Vukčević Jovana Petrović Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram Scientific Data |
| title | Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram |
| title_full | Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram |
| title_fullStr | Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram |
| title_full_unstemmed | Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram |
| title_short | Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram |
| title_sort | synchronous post exercise electrocardiogram phonocardiogram photoplethysmograms and seismocardiogram |
| url | https://doi.org/10.1038/s41597-025-05781-4 |
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