Implementation and evaluation of ECG signal processing algorithms on embedded architectures
| Autor: | Rachid Latif, Abdelhafid Elouardi, Safa Mejhoudi, Wissam Jenkal, Ahmed Toumanari |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
Low-pass filter 02 engineering and technology 03 medical and health sciences Embedded architecture QRS complex 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS 020201 artificial intelligence & image processing Algorithm design Ecg signal Field-programmable gate array Algorithm 030217 neurology & neurosurgery Cardiac status |
| Zdroj: | 2017 International Conference on Electrical and Information Technologies (ICEIT). |
| DOI: | 10.1109/eitech.2017.8255287 |
| Popis: | This paper presents a survey and evaluation of the implementation of ECG signal processing algorithms on embedded architectures. ECG signal analysis and extraction of various features as QRS complex are important tasks in either clinical or biomedical practice. To this end, our work aims at developing a system for real-time monitoring of cardiac data based on an embedded architecture, which guarantees an accurate analysis without loss of information and allowing the extraction of all the necessary characteristics for an effective and fast diagnosis of patient's cardiac status. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|