Publication: A New Signal Processing Toolbox and Real-Time EMG and ECG Analysis
| dc.contributor.author | Ozkan, Haydar; Ural, Ebrar Selva; Kalender, Aleyna; Tuncer, Fatma Elif | |
| dc.date.accessioned | 2021-03-14T19:17:52Z | |
| dc.date.available | 2021-03-14T19:17:52Z | |
| dc.date.issued | 1.01.2018 | |
| dc.description.abstract | Biomedical signals acquisition, processing and visualizing with accurate and high quality play a very important role in the diagnosis of many diseases. For this purpose, in this study, a one-dimensional signal processing toolbox has been designed using the MATLAB Graphical User Interface (GUI). Real-time medical signals can be obtained and analyzed in time and frequency domains. This toolbox can be used to analyze a signal that is pre-recorded or one dimensional that is created by a user. Due to the toolbox developed, the data which are acquired from EMG and ECG cards and digitized in the Arduino microprocessor are displayed in real time on the computer screen. Also, the high-frequency noises in the ECG signal have been eliminated by designing a Parks-McClellan low pass FIR filter. Heart rate has been calculated with high accuracy by counting R peak points per minute from the noise reduced ECG signal automatically. By using the developed signal processing toolbox, any kind of general or medical signals can be analyzed in more detail and fast. | |
| dc.identifier.isbn | 978-1-5386-6852-8 | |
| dc.identifier.issn | 2148-2373 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12645/28546 | |
| dc.identifier.wos | WOS:000467637600068 | |
| dc.language.iso | tr | |
| dc.subject | biomedical signal processing; EMG monitoring; ECG monitoring; heart rate | |
| dc.title | A New Signal Processing Toolbox and Real-Time EMG and ECG Analysis | |
| dc.type | Proceedings Paper | |
| dspace.entity.type | Publication |