Name
Abstract | ||
|---|---|---|
This paper presents a novel method of extracting seismocardiographic data from moving adult subjects using chest-worn wireless MEMS accelerometers. A DSP system including a normalized LMS adaptive filter is designed and tested in MATLAB. Data results from 11 subjects indicate a detection rate of 97.33% and a high correlation between SCG and ECG signals simultaneously acquired. The results suggest that adaptive filtering could be a relevant technique for this purpose. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/BioCAS.2015.7348361 | 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS) |
Keywords | Field | DocType |
Adaptive filtering,LMS,seismocardiography (SCG),MEMS accelerometer,motion cancellation | Computer vision,Digital signal processing,MATLAB,Wireless,Normalization (statistics),Accelerometer,Computer science,Electronic engineering,Correlation,Artificial intelligence,Adaptive filter,Active noise control | Conference |
ISSN | Citations | PageRank |
2163-4025 | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| chenxi yang | 1 | 10 | 4.40 |
| negar tavassolian | 2 | 10 | 6.43 |