Open access Jurnal SINTA 1
Data prediction for cases of incorrect data in multi-node electrocardiogram monitoring
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 2 (2022)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2022-04-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
The development of a mesh topology in multi-node electrocardiogram (ECG) monitoring based on the ZigBee protocol still has limitations. When more than one active ECG node sends a data stream, there will be incorrect data or damage due to a failure of synchronization. The incorrect data will affect signal interpretation. Therefore, a mechanism is needed to correct or predict the damaged data. In this study, the method of expectation-maximization (EM) and regression imputation (RI) was proposed to overcome these problems. Real data from previous studies are the main modalities used in this study. The ECG signal data that has been predicted is then compared with the actual ECG data stored in the main controller memory. Root mean square error (RMSE) is calculated to measure system performance. The simulation was performed on 13 ECG waves, each of them has 1000 samples. The simulation results show that the EM method has a lower predictive error value than the RI method. The average RMSE for the EM and RI methods is 4.77 and 6.63, respectively. The proposed method is expected to be used in the case of multi-node ECG monitoring, especially in the ZigBee application to minimize errors.
Collaboration network of the authors
32 authors · 55 co-authorship links · 13 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Telkom University
- Bandung Institute of Technology
- Universitas Mikroskil
- Universitas Teknologi Bandung
- Universitas Gadjah Mada
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Olivia Olivia | Bandung Institute of Technology | 2 |
| M. I. Arzak | Telkom University | 2 |
| Unang Sunarya | Telkom University | 2 |
| Yuli Sun Hariyani | Telkom University | 2 |
| Mohammad Ridwan Effendi | Bandung Institute of Technology | 1 |
| Muhammad Shalahuddin | Universitas Teknologi Bandung | 1 |
| Wikan Danar Sunindyo | Bandung Institute of Technology | 1 |
| Eva Hariyanti | Affiliation unknown | 1 |
| Indah Werdiningsih | Affiliation unknown | 1 |
| Roni Yunis | Universitas Mikroskil | 1 |
| Erwin Setiawan Panjaitan | Universitas Mikroskil | 1 |
| Nur Ulfa Maulidevi | Bandung Institute of Technology | 1 |
| Yudi Setiawan | Bandung Institute of Technology | 1 |
| Muhammad Derry Salman Syahid | Telkom University | 1 |
| Siska Komala Sari | Telkom University | 1 |
| Sandi Wibowo | Affiliation unknown | 1 |
| Abdullah Karim | Affiliation unknown | 1 |
| Neng Ayu Herawati | Affiliation unknown | 1 |
| Lenny Putri Yulianty | Affiliation unknown | 1 |
| Achmad Rizal | Telkom University | 1 |
| Vera Suryani | Universitas Gadjah Mada | 1 |
| Jondri Jondri | Telkom University | 1 |
| L. D. Irawati | Telkom University | 1 |
| R. R. Adiputra | Telkom University | 1 |
| Erwin Budi Setiawan | Bandung Institute of Technology | 1 |
| Dwi Hendratmo Widyantoro | Bandung Institute of Technology | 1 |
| Suci Aulia | Telkom University | 1 |
| Inung Wijayanto | Telkom University | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.