On-line power spectra on small computers
β Scribed by Franz Huber
- Publisher
- Elsevier Science
- Year
- 1974
- Tongue
- English
- Weight
- 332 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0010-4809
No coin nor oath required. For personal study only.
β¦ Synopsis
A critical view of the possibilities and limitations on power spectral analysis in the environment typical for a biomedical laboratory is presented. A performance measurement tool is shown in light of spectral analysis of electroencephalographic data using the Fast Fourier transform algorithm.
π SIMILAR VOLUMES
The heart rate variability power spectra is computed using an on-line microcomputer system. In normal subjects (n = lo), standing and post-exercise states demonstrated statistically significant increases (p < 0.05) in the peak power at 0.1 Hz. During exercise, the peak power at 0.1 Hz was reduced si
for allowing us to study patients under their care, and to Sir Richard Doll (Regius Professor of Medicine, University of Oxford), who prompted us to carry out the investigation.