Name
Abstract | ||
|---|---|---|
This article presents an algorithm based on a short-time Fourier transform for reliable detection of epileptic seizures measured with three-dimensional (3D) accelerometry. The objective of the described work is to provide basic technical information to create useful alarm models for epileptic seizure detection using a mobile phone. The presented material is based on experimental measurements. Finally, the possibility of increasing smart-phone detection capability by attaching a triaxial piezoelectric accelerometer to the patient's wrist is suggested. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1515/bams-2013-0010 | BIO-ALGORITHMS AND MED-SYSTEMS |
Keywords | Field | DocType |
3D accelerometry (ACM), epilepsy seizure detection, motor activity | Seizure detection,Motor activity,Accelerometer,Computer science,Time–frequency analysis,Physical medicine and rehabilitation | Journal |
Volume | Issue | ISSN |
9 | 2 | 1895-9091 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Przemysław Korohoda | 1 | 3 | 3.55 |
| Jacek Kolodziej | 2 | 1 | 1.36 |
| Jacek Stepien | 3 | 1 | 0.69 |