title: Power spectrum analysis of human femoral rotations during gait.
abstract: Femoral rotational waveforms sampled at 15 Hz for a duration 20 s satisfy the sampling rate and frequency resolution requirements of such waveforms during walking. Spectral analysis provides a unique signature of the frequency composition of such signals. This identity may prove useful in characterising human gait and could be of value in future studies of walking in health and disease.
authors.affiliation: School of Engineering, Flinders University, Adelaide, Australia.
authors.forename: H
authors.initials: H
authors.lastname: Nazeran
authors.forename: H G
authors.initials: HG
authors.lastname: Hosseini
authors.forename: M B
authors.initials: MB
authors.lastname: Ayers
authors.forename: M J
authors.initials: MJ
authors.lastname: Pearcy
mesh_terms: D001698:Biomedical Engineering / Q000295:instrumentation* / Q000379:methods; D015374:Biosensing Techniques; D001330:Electronic Data Processing; D005269:Femur / Q000502:physiology*; D005583:Fourier Analysis; D006621:Hip Joint / Q000502:physiology; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D016138:Walking / Q000502:physiology*