Publicação
Adaptive ECG Acquisition System
| Resumo: | Noise is one of the major challenges in engineering, especially in bioengineering. The recording of the heart signal using an electrocardiogram (ECG) system is one of the most relevant tools for clinical evaluation as well as other non-medical applications. The use of ECG for biometrics and drowsiness detection is opening new possibilities for the use of these systems in daily-life applications, which are even more prone to noise. This project aims to develop a novel ECG front-end design with the ability to adap tively change its characteristics as a function of each acquisition context. By understating the most common signal distortion sources and evaluating several ECG quality assessment techniques, an adaptive ECG circuit architecture is created and validated. Several scenarios for testing the system are considered, starting from a theoretical per spective to several real-world acquisition scenarios, from resting conditions to acquisition while driving a vehicle. The designed system showed potential for usage as a tool for tackling unfavorable and challenging situations. |
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| Autores principais: | Velez, David |
| Assunto: | Drowsiness detection Heart signal ECG |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Politécnica de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Científico da Universidade Politécnica de Lisboa |
| Resumo: | Noise is one of the major challenges in engineering, especially in bioengineering. The recording of the heart signal using an electrocardiogram (ECG) system is one of the most relevant tools for clinical evaluation as well as other non-medical applications. The use of ECG for biometrics and drowsiness detection is opening new possibilities for the use of these systems in daily-life applications, which are even more prone to noise. This project aims to develop a novel ECG front-end design with the ability to adap tively change its characteristics as a function of each acquisition context. By understating the most common signal distortion sources and evaluating several ECG quality assessment techniques, an adaptive ECG circuit architecture is created and validated. Several scenarios for testing the system are considered, starting from a theoretical per spective to several real-world acquisition scenarios, from resting conditions to acquisition while driving a vehicle. The designed system showed potential for usage as a tool for tackling unfavorable and challenging situations. |
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Atividades financiadas
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