Automated spatio-temporal alignment of plantar pressure image sequences

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Francisco P. M. Oliveira (Autor) FEUP; João Manuel R. S. Tavares (Autor) FEUP

Ata de Conferência Internacional

Título: CMBBE2013 - 11th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering

Página Inicial: 2 pag.

CMBBE2013 - 11th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering Salt Lake City, Utah, USA April 3-7, 2013

Salt Lake City, Utah, USA, April 3-7, 2013

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

Abstract (EN): The analysis of plantar pressure data provides information on the role of the foot and ankle during gait and other activities. The information gather can be used to define suitable rehabilitation programs through alterations of footwear, foot orthoses, exercise programs and weight-bearing restrictions. It can also assist the diagnosis and rehabilitation of impairments associated with various musculoskeletal, integumentary and neurological disorders. Particularly, it has a vital role in the assessment and prevention of ulceration of patients with diabetes and peripheral neuropathy. Generally, the plantar pressure data can be converted into a discrete rectangular array at a point in time or over a period of time, giving rising to static images or to image sequences. The number of trials required to obtain reliable representations of the plantar pressure pattern is an important factor in dynamic data acquisition: three to five walking trials enhances the reliability of the pressure measurements [1]. Hence, the automatically spatio-temporal, i.e. simultaneously in time and space, alignment of sequence trials is important to build a representative plantar image sequence for the subject under study, as it is more reliable than a single trial and supports comparisons among plantar pressure image sequences on a pixel-by-pixel basis. Here, the use of automated computational method for the spatio-temporal alignment of plantar pressure image sequences [2-3] is discussed. Using the method, the spatial position and orientation of a foot in an image sequence are changed to match the foot represented in a second sequence, and simultaneously the temporal scale of the first sequence is transformed with the aim of synchronizing the two input sequences. As such, the spatial correspondence of the foot regions along the sequences as well as the temporal synchronizing is obtained.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 2