Designing for reliable textile neonatal ECG monitoring using multi-sensor recordings
| Autor: | Pierre J. M. Cluitmans, S. Bouwstra, S. Bambang Oetomo, Loe Feijs, W. Chen |
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| Přispěvatelé: | Signal Processing Systems, Medical signal processing |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Engineering
business.industry media_common.quotation_subject Real-time computing Electrical engineering Infant Newborn Reproducibility of Results Context (language use) Equipment Design Multi sensor Ecg monitoring Electrocardiography Signal quality Context awareness Feasibility Studies Humans Quality (business) business Engineering design process Electrodes Reliability (statistics) Infant Premature media_common |
| Zdroj: | Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, 30 August-3 September 2011, Boston, Massachussetts, 2488-2491 STARTPAGE=2488;ENDPAGE=2491;TITLE=Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, 30 August-3 September 2011, Boston, Massachussetts EMBC |
| Popis: | When designing an ECG monitoring system embedded with textile electrodes for comfort, it is challenging to ensure reliable monitoring, because textile electrodes suffer from motion artifacts and incidental poor signal quality. For the design of a comfortable monitoring system for prematurely born babies in the Neonatal Intensive Care Unit (NICU), we propose the concepts of diversity measurement and context awareness to improve reliability. Clinical multi-modal sensor data was collected in the NICU with the Smart Jacket connected to a state-of-the-art amplifier. We found that the ECG signals quality varied among sensors and varied over time, and found correlations between ECG signal, acceleration data, and context, which supports the feasibility of the concepts. Our explorative system level approach has lead to design parameters and meta-insights into the role of clinical validation in the design process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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