The use of artificial neural networks to identify patients with chronic low-back pain conditions from patterns of sit-to-stand manoeuvres

Effects of experimentally induced low back pain on the sit-to-stand movement and electroencephalographic contingent negative variation

“…In addition to identifying consistent group differences among conditions in postural coordination and cerebrocortical activity, correlation analysis was expected to be instructive because multiple strategies are often employed to achieve the sit-to-stand movement (Coghlin and McFadyen 1994) and because changes in postural coordination associated with LBP can vary by group or individual; either increases or decreases in movement velocity and lumbar flexion are evident during a sit-to-stand task (Gioftsos and Grieve 1996; Shum et al 2005a) and individuals with LBP can exhibit tendencies for increased lumbo-pelvic extension, flexion, or rotation across multiple movement tasks (Van Dillen et al 2003). In addition, amplitudes of sensory-motor cortical function correlate with measures of postural coordination (Tsao et al 2008; Jacobs et al 2010), even when differences between participants with and without LBP are not consistent enough to elicit statistical significance (Jacobs et al 2010).…”

“…Altered movement patterns have been proposed as one possible mechanism for developing chronic, recurrent LBP by generating injurious tissue loads that perpetuate pain-inducing musculoskeletal pathology (Sahrmann 2002; Langevin and Sherman 2007; Hammill et al 2008). In support of this model, people with LBP exhibit altered postural coordination during voluntary tasks (Gioftsos and Grieve 1996; Kuriyama and Ito 2005; Shum et al 2005b; Shum et al 2005a; Mok et al 2007; MacDonald et al 2009; Scholtes et al 2009), and correcting their symptom-provoking movement patterns decreases the LBP (Harris-Hayes et al 2005; Van Dillen et al 2005; Van Dillen et al 2009). In addition, changes in postural coordination persist when evaluating people with a history of recurrent LBP during a remission of pain (MacDonald et al 2009), and these changes in postural coordination are concomitant with altered motor function within the cerebral cortex (Tsao et al 2008; Jacobs et al 2010).…”

“…The sit-to-stand movement was chosen due to its ecological relevance as a common activity of daily living, and because people with LBP exhibit altered coordination patterns, movement times, forces, and energy transfer when performing a sit-to-stand task (Coghlin and McFadyen 1994; Gioftsos and Grieve 1996; Simmonds et al 1998; Shum et al 2005a; Shum et al 2007; Shum et al 2009). We hypothesized that (A) experimentally induced LBP elicits changes in postural coordination of the sit-to-stand movement similar to those previously reported to associate with chronic LBP, and (B) cerebrocortical activity prior to painful movement, as measured by the CNV potential, associates with pain-related changes in postural coordination as well as with the extent of postural modification that remains after pain cessation.…”

Prediction of Low Back Pain with Two Expert Systems

“…Although there have been a great deal of research coping with the LBP in the literature, in terms of the VAS scale and the resistance, the prediction of the LBP using the ANN and ANFIS has not been investigated yet. There are limited number of studies in the literature [6,[10][11][12][13] using the current expert systems. However two of those works [10,11] are mainly based on questionnaire and therefore they are subjective.…”

Assessment of human locomotion by using an insole measurement system and artificial neural networks

“…ANNs have been shown to be successful in finding complex relationships between patterns of different signals (Sepulveda et al, 1993;Holzreitner and Kohle, 1993;Aminian et al, 1995;Nussbaum et al, 1995Nussbaum et al, , 1997. For human movement studies, it has been shown that ANNs can be used to predict gait parameters (Breit and Whalen, 1997) and gait patterns (Holzreitner and Kohle, 1993;Su and Wu, 2000), identify the EMG signals responsible for movement kinematics (Cheron et al, 1996(Cheron et al, , 2003, generate models of gait pattern (Srinivasan et al, 1992;Prentice et al, 1995), predict horizontal ground reaction force (GRF) (Savelberg and de Lange, 1999), identify patterns of sit-stand maneuvers (Gioftsos and Grieve, 1996), measure the locomotor skills (Medved et al, 1995), and predict incline, speed and distance of walking (Aminian et al, 1995).…”