A5071314632- ECG Monitoring and Analysis
- EEG and Brain-Computer Interfaces
- Anomaly Detection Techniques and Applications
- Cinema History and Criticism
- Non-Invasive Vital Sign Monitoring
- Advanced Sensor and Energy Harvesting Materials
- Context-Aware Activity Recognition Systems
- Fault Detection and Control Systems
- Gender and Feminist Studies
- Educational theories and practices
Instituto de Telecomunicações
2015-2019
Instituto Superior Técnico
2015-2019
Lusíada University of Lisbon
2018
University of Lisbon
2015-2018
The low-cost multimodal platform BITalino is being increasingly used for educational and research purposes. However, there still a lack of well-structured work comparing data acquired by this toolkit against reference device, using established experimental protocols. This intends to fill the said gap benchmarking performance BioPac MP35 Student Lab Pro device. followed methodical protocol acquire from two devices simultaneously. Four physiological signals were acquired: electrocardiography,...
Low-cost hardware platforms for biomedical engineering are becoming increasingly available, which empower the research community in development of new projects a wide range areas related with physiological data acquisition. Building upon previous work by our group, this compares quality acquired means two different versions multimodal computing platform BITalino, device that can be considered reference. We from 5 sensors, namely Accelerometry (ACC), Electrocardiography (ECG),...
Atrial fibrillation (AF) is the most common type of arrhythmia. This work presents a pattern analysis approach to automatically classify electrocardiographic (ECG) records as normal sinus rhythm or AF. Both spectral and time domain features were extracted their discrimination capability was assessed individually in combination. Spectral based on wavelet decomposition signal and parameters translated heart rate characteristics. The performance three classifiers...