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Campero Jurado I, Lorato I, Morales J, Fruytier L, Stuart S, Panditha P, Janssen DM, Rossetti N, Uzunbajakava N, Serban IB, Rikken L, de Kok M, Vanschoren J, Brombacher A. Signal Quality Analysis for Long-Term ECG Monitoring Using a Health Patch in Cardiac Patients. SENSORS (BASEL, SWITZERLAND) 2023; 23:2130. [PMID: 36850728 PMCID: PMC9965306 DOI: 10.3390/s23042130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/07/2023] [Accepted: 02/10/2023] [Indexed: 06/18/2023]
Abstract
Cardiovascular diseases (CVD) represent a serious health problem worldwide, of which atrial fibrillation (AF) is one of the most common conditions. Early and timely diagnosis of CVD is essential for successful treatment. When implemented in the healthcare system this can ease the existing socio-economic burden on health institutions and government. Therefore, developing technologies and tools to diagnose CVD in a timely way and detect AF is an important research topic. ECG monitoring patches allowing ambulatory patient monitoring over several days represent a novel technology, while we witness a significant proliferation of ECG monitoring patches on the market and in the research labs, their performance over a long period of time is not fully characterized. This paper analyzes the signal quality of ECG signals obtained using a single-lead ECG patch featuring self-adhesive dry electrode technology collected from six cardiac patients for 5 days. In particular, we provide insights into signal quality degradation over time, while changes in the average ECG quality per day were present, these changes were not statistically significant. It was observed that the quality was higher during the nights, confirming the link with motion artifacts. These results can improve CVD diagnosis and AF detection in real-world scenarios.
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Affiliation(s)
- Israel Campero Jurado
- Department of Mathematics and Computer Science, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
| | - Ilde Lorato
- Stichting IMEC Nederland, 5656 AE Eindhoven, The Netherlands
| | - John Morales
- Stichting IMEC Nederland, 5656 AE Eindhoven, The Netherlands
| | - Lonneke Fruytier
- Department of Cardiology, Máxima Medical Center, De Run 4600, 5504 DB Veldhoven, The Netherlands
| | - Shavini Stuart
- Holst Centre, TNO, Biomedical R&D, 5656 AE Eindhoven, The Netherlands
| | - Pradeep Panditha
- Holst Centre, TNO, Biomedical R&D, 5656 AE Eindhoven, The Netherlands
| | - Daan M. Janssen
- Department of Cardiology, Máxima Medical Center, De Run 4600, 5504 DB Veldhoven, The Netherlands
| | - Nicolò Rossetti
- Stichting IMEC Nederland, 5656 AE Eindhoven, The Netherlands
| | | | - Irina Bianca Serban
- Department of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
| | - Lars Rikken
- Holst Centre, TNO, Biomedical R&D, 5656 AE Eindhoven, The Netherlands
| | - Margreet de Kok
- Holst Centre, TNO, Biomedical R&D, 5656 AE Eindhoven, The Netherlands
| | - Joaquin Vanschoren
- Department of Mathematics and Computer Science, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
| | - Aarnout Brombacher
- Department of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
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Chang RK. It is time for home-based 12-lead electrocardiogram. Europace 2023; 25:236. [PMID: 36002386 PMCID: PMC10103555 DOI: 10.1093/europace/euac138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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