Name
Title | ||
|---|---|---|
Computationally efficient, configurable, causal, real-time phase detection applied to local field potential oscillations |
Abstract | ||
|---|---|---|
Neurological implantable devices with electrophysiological sensing capabilities may enable new medical therapies and diagnostics. Of specific interest is phase-dependent delivery of therapy-such as electrical stimulation-as a potential method to enhance therapy effectiveness in improving diseased or damaged physiological processes with respect to rhythmic biomarkers, while minimizing the average energy required to deliver the therapy. To address this need for phase-detection, within the constraints of device power limits, we have developed a computationally efficient, causal, real-time Fourier transform (RTFT) for use as a phase detection method that is both general and highly configurable. The application of this method to theta-band local field potentials recorded from the brains of sheep is demonstrated. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/NER.2015.7146781 | Neural Engineering |
Keywords | Field | DocType |
Fourier transforms,neuromuscular stimulation,prosthetics,electrical stimulation,electrophysiological sensing,local field potential oscillations,medical diagnostics,medical therapies,neurological implantable devices,phase detection method,physiological processes,real-time Fourier transform,real-time phase detection,rhythmic biomarkers,sheep brain,theta-band local field potentials | Computer vision,Oscillation,Potential method,Computer science,Fourier transform,Electronic engineering,Artificial intelligence,Local field potential,Phase detector | Conference |
ISSN | Citations | PageRank |
1948-3546 | 1 | 0.36 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jadin C. Jackson | 1 | 8 | 1.34 |
| Corey, R. | 2 | 1 | 0.36 |
| Loxtercamp, G. | 3 | 1 | 0.36 |
| Scott Stanslaski | 4 | 51 | 15.06 |