Combining motion analysis and ultrasound to analyse muscles in children with cerebral palsy

2015 ◽  
Vol 42 ◽  
pp. S2-S3
Author(s):  
Francesco Cenni ◽  
Davide Monari ◽  
Simon-Henri Schless ◽  
Lynn Bar-On ◽  
Herman Bruyninckx ◽  
...  
Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1660 ◽  
Author(s):  
Yunru Ma ◽  
Kumar Mithraratne ◽  
Nichola Wilson ◽  
Xiangbin Wang ◽  
Ye Ma ◽  
...  

The aim of this study is to evaluate if Kinect is a valid and reliable clinical gait analysis tool for children with cerebral palsy (CP), and whether linear regression and long short-term memory (LSTM) recurrent neural network methods can improve its performance. A gait analysis was conducted on ten children with CP, on two occasions. Lower limb joint kinematics computed from the Kinect and a traditional marker-based Motion Analysis system were investigated by calculating the root mean square errors (RMSE), the coefficients of multiple correlation (CMC), and the intra-class correlation coefficients (ICC2,k). Results showed that the Kinect-based kinematics had an overall modest to poor correlation (CMC—less than 0.001 to 0.70) and an angle pattern similarity with Motion Analysis. After the calibration, RMSE on every degree of freedom decreased. The two calibration methods indicated similar levels of improvement in hip sagittal (CMC—0.81 ± 0.10 vs. 0.75 ± 0.22)/frontal (CMC—0.41 ± 0.35 vs. 0.42 ± 0.37) and knee sagittal kinematics (CMC—0.85±0.07 vs. 0.87 ± 0.12). The hip sagittal (CMC—0.97±0.05) and knee sagittal (CMC—0.88 ± 0.12) angle patterns showed a very good agreement over two days. Modest to excellent reliability (ICC2,k—0.45 to 0.93) for most parameters renders it feasible for observing ongoing changes in gait kinematics.


2012 ◽  
Vol 36 (1) ◽  
pp. 39 ◽  
Author(s):  
Dong-A Kim ◽  
Jung-Ah Lee ◽  
Pil-Woo Hwang ◽  
Min-Jin Lee ◽  
Hyun-Kyung Kim ◽  
...  

2014 ◽  
Vol 35 (2) ◽  
pp. 393-399 ◽  
Author(s):  
Po-Chang Huang ◽  
Po-Jung Pan ◽  
Yu-Chih Ou ◽  
Yi-Chen Yu ◽  
Yung-Shen Tsai

2010 ◽  
Vol 19 (1) ◽  
pp. 12-20 ◽  
Author(s):  
Guro Andersen ◽  
Tone R. Mjøen ◽  
Torstein Vik

Abstract This study describes the prevalence of speech problems and the use of augmentative and alternative communication (AAC) in children with cerebral palsy (CP) in Norway. Information on the communicative abilities of 564 children with CP born 1996–2003, recorded in the Norwegian CP Registry, was collected. A total of 270 children (48%) had normal speech, 90 (16%) had slightly indistinct speech, 52 (9%) had indistinct speech, 35 (6%) had very indistinct speech, 110 children (19%) had no speech, and 7 (1%) were unknown. Speech problems were most common in children with dyskinetic CP (92 %), in children with the most severe gross motor function impairments and among children being totally dependent on assistance in feeding or tube-fed children. A higher proportion of children born at term had speech problems when compared with children born before 32 weeks of gestational age 32 (p > 0.001). Among the 197 children with speech problems only, 106 (54%) used AAC in some form. Approximately 20% of children had no verbal speech, whereas ~15% had significant speech problems. Among children with either significant speech problems or no speech, only 54% used AAC in any form.


Author(s):  
Firas Massaad ◽  
Frédéric Dierick ◽  
Adélaïde van den Hecke ◽  
Christine Detrembleur

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