作者: N.A. Jacobs , J. Skorecki , J. Charnley
DOI: 10.1016/0021-9290(72)90016-4
关键词: Pattern recognition 、 Mathematics 、 Artificial intelligence 、 Computer vision 、 Harmonic (mathematics) 、 Component (UML) 、 Pathological gait 、 Body weight 、 Gait (human)
摘要: Abstract Recordings of the vertical component force exerted in walking by normal and pathological subjects have been analysed into harmonic components described other mathematical parameters which help to classify different kinds waveforms gait. Eight types identified some correlation found between their features spectra describing on one hand diagnostic state hip joint hand.