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[Analysis of diadochokinetic movement. Electronic data processing-aided diadochometry--a contribution to
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This study introduces an objective method to analyze arm movements in children, identifying key differences in children with minimal cerebral dysfunction (MCD). The technique proves practical for developmental neurology diagnostics.
Area of Science:
- Neurology
- Biomedical Engineering
- Developmental Pediatrics
Context:
- Diadochokinetic movements are crucial for assessing motor control.
- Minimal cerebral dysfunction (MCD) can impact fine motor skills.
- Objective measurement tools are needed for early diagnosis.
Purpose:
- To evaluate a novel objective method for analyzing diadochokinetic arm movements.
- To differentiate motor control patterns between healthy children and those with MCD.
- To establish the diagnostic utility of this method in developmental neurology.
Summary:
- A new device and analysis program (BEWESI) were used to measure forearm twisting in 44 children (aged 4-10).
- The system digitalized movement data, analyzing 11 mathematical factors.
- Significant differences were found in movement parameters between normal children and those with MCD, including pronation/supination velocity.
Impact:
- This objective method provides a practical tool for diagnosing minimal cerebral dysfunction in children.
- It offers quantifiable data on motor control, aiding developmental neurology assessments.
- The findings highlight age-related changes in motor parameters, enhancing diagnostic accuracy.
Abstract:
A method of objective registration and analysis of diadochokinetic arm movement was tested in normal children and those with signs of minimal cerebral dysfunction (MCD). 44 children aged 4-10 yrs. (9 with the diagnosis of MCD, 31 controls) were investigated. By means of a special device 270 deg. twisting of the forearms were transduced linearly by foam-cushioned clamps at the wrists and a potentiometer into a direct current of 0-2,7 V, respectively. The analog DC signal was digitalized by 0.7 kHz and stored in a calculator, the identification of the first and last sectors were performed on monitor. After removing artificial currents by a special filtering program, the remaining sinus-like curves could be analyzed by a special program (BEWESI). Mathematical analysis was performed by 11 factors respecting right and left arm, unilateral or bilateral twisting. Statistical analysis showed significant differences in some parameters between normal and MCD-children. In addition, a significant difference between the velocity of pronation and supination was evident. The fact that a clear age relation of parameters was found, proves the practicability of this diagnostical method in developmental neurology.