Estimation of Gross Motor Functions in Children with Cerebral Palsy Using Zebris FDM-T Treadmill

Effect of Physiotherapy on Preterm Neonates and its Results on Five-Year-Old Children, According to GMFM - GMPM Evaluation Scales

OBJECTIVE

The purpose of this study is to emphasize the necessity and possibilities of early intervention and physiotherapy rehabilitation of premature infants, as they are reflected in five-year olds according to the gross motor function measure (GMFM) and gross motor performance measure (GMPM) evaluation scales for gross function and quality of movement. In addition, the present study examined the importance of using assessment tools for children who have received or not therapeutic intervention, through which both the child's abilities and appropriateness of the help received by him/her are evaluated based on individual needs.

MATERIAL AND METHODS

Our specific exploratory process was carried out through a literature review as well as a process of primary research, in order to obtain and collect all necessary information and data which would finally lead us to the nearest and best conclusions. Our goal was to collect 20 complete and graded GMFM and 20 GMPM assessment tests, so that our research was based on a satisfactory sample of participants. In the next year, the scores received by participants were recorded and analyzed using the statistical software program SPSS (Superior Performance Software System). The analysis was performed through descriptive and inductive statistical analysis in the SPSS statistical program. Specifically, the SPSS version 20.0 and specifically the one-way ANOVA variance analysis and the Tukey's parametric test were used for the statistical analysis of the results.

RESULTS

The use of physiotherapy care was found to be important for premature infants, as the level of statistical significance was set at p <0.05, while the data were reported as average. The final overall scores of the evaluations (on average) were higher in the group who received early intervention and specialized physiotherapy intervention from the first day after birth.

CONCLUSIONS

The effect of physiotherapy on premature infants is positive in five-year-old children, who have completed almost all their developmental stages at that age. These benefits become apparent not only in a better handling of kinetic patterns and sequences but also in the ability to execute kinetic models, conquer developmental motor stages and perform them with quality in terms of alignment, sequence, synergy of movements, separation and stability.

Testing protocols and measurement techniques when using pressure sensors for sport and health applications: A comparative review

Plantar pressure measurement systems are routinely used in sports and health applications to assess locomotion. The purpose of this review is to describe and critically discuss: (a) applications of the pressure measurement systems in sport and healthcare, (b) testing protocols and considerations for clinical gait analysis, (c) clinical recommendations for interpreting plantar pressure data, (d) calibration procedures and their accuracy, and (e) the future of pressure sensor data analysis. Rigid pressure platforms are typically used to measure plantar pressures for the assessment of foot function during standing and walking, particularly when barefoot, and are the most accurate for measuring plantar pressures. For reliable data, two step protocol prior to contacting the pressure plate is recommended. In-shoe systems are most suitable for measuring plantar pressures in the field during daily living or dynamic sporting movements as they are often wireless and can measure multiple steps. They are the most suitable equipment to assess the effects of footwear and orthotics on plantar pressures. However, they typically have lower spatial resolution and sampling frequency than platform systems. Users of pressure measurement systems need to consider the suitability of the calibration procedures for their chosen application when selecting and using a pressure measurement system. For some applications, a bespoke calibration procedure is required to improve validity and reliability of the pressure measurement system. The testing machines that are commonly used for dynamic calibration of pressure measurement systems frequently have loading rates of less than even those found in walking, so the development of testing protocols that truly measure the loading rates found in many sporting movements are required. There is clear potential for AI techniques to assist in the analysis and interpretation of plantar pressure data to enable the more complete use of pressure system data in clinical diagnoses and monitoring.

Machine learning approach to gait deviation prediction based on isokinetic data acquired from biometric sensors

BACKGROUND

Analyzing gait deviation is one of the crucial factors during the diagnosis and treatment of children with Cerebral Palsy (CP). The typical diagnostic procedure requires an expensive and complicated three-dimensional gait analysis system based on visual sensors. In this work, we focus on predicting well-known gait pathology scores using only information collected from the BS4P, the affordable isokinetic dynamometer. Using such equipment, it is possible to determine gait pathological indices such as the gait deviation index (GDI) or the Gillette gait index (GGI).

RESEARCH QUESTION

Are there correlations between the results of examining patients with CP on the Biodex Pro 4 device and the gait quality metrics (GDI and GGI)?

METHODS

The isokinetic data acquired from biometric sensors (74 records) were analyzed using big data methods. We used several Machine Learning methods to find the correlation between gait deviation and isokinetic data: Adaptive Boosting Regression, K-nearest Neighbor, Decision Tree Regression, Random Forest Regression, and Gradient Boost Regression.

RESULTS

In this paper, we provided a detailed comparison of different machine learning regression models in predicting gait quality in patients with CP based only on the data gathered from affordable Biodex 4 Pro device. The best result was obtained using the gradient boosting regression model with Mean Absolute Percentage Error of 6%. However, it was not possible to precisely predict the GGI index using this method.

SIGNIFICANCE

The results obtained showed promising results in the evaluation of gait index scores, which gives the possibility of diagnosing patients with CP without the use of expensive optometric systems. Evaluating gait metrics using the approach proposed in this paper could be very helpful for both physicians and physiotherapists in assessing the condition of patients with CP, as well as other diseases related to gait problems.

The Associations between Plantar Force Distribution and Successfulness in Short-Fire Shooting among Special Police Officers

The main purpose of the study was to determine whether a pistol shooting efficiency score could be predicted by plantar force distribution patterns. In this cross-sectional study, participants were special police male officers (N = 30), members of the Anti-Terrorist Unit ‘Lučko’ (agemean±SD = 40 ± 6 years, heightmean±SD = 180 ± 5 cm, weightmean±SD = 89 ± 8 kg). Shooting efficiency at a target 10 m away was tested on a scale from 0 to 5, while standing on a Zebris pedobarographic platform. Higher absolute (N; β = −0.19, p = 0.002) and relative (%; β = −0.12, p = 0.043) forces beneath the hindfoot were associated with poorer shooting efficiency. A significant positive association between the relative force beneath the forefoot and shooting efficiency was found, i.e., higher relative forces beneath the forefoot region exhibited better shooting values (β = 0.12, p = 0.043). When the force was normalized by weight (N/kg), similar associations remained. This study shows that higher force values under the hindfoot region may lead to a lower shooting performance, while higher force values under the forefoot region can increase shooting performance.