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PTJ 2025, 15(2): 0-0 |
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Ebrahimi A, Jafarpishe A S, Vahedi M, Ezadi M, Mohammadi S. Comparison of the Effectiveness of Gamification, Tracking Patterns and Visual Gauges in Improving Hand Motor Performance Via Biofeedback Among Students at the University of Social Welfare and Rehabilitation Sciences. PTJ 2025; 15 (2)
URL: http://ptj.uswr.ac.ir/article-1-662-en.html
URL: http://ptj.uswr.ac.ir/article-1-662-en.html
Abstract: (260 Views)
Purpose: This study aimed to investigate the effectiveness of different biofeedback interventions on motor performance improvement in hand. The scientific methods for evaluating muscle activity involve the use of various techniques. Biofeedback, which involves the use of equipment to provide individuals with real-time feedback regarding their physiological responses [1], plays a crucial role in enhancing neuromuscular function. Despite its potential, the effectiveness of biofeedback interventions on motor performance remains a topic of debate. This study contributes to by providing a more comprehensive understanding of the role of biofeedback in motor function improvement in hand.
Methods and Materials: Sixty individuals were randomly assigned to one of four groups: Aircraft, Visual Gauge, Pattern-tracking, or a control group. Pre- and post-intervention assessments were performed to evaluate motor performance in hand. Statistical analysis was conducted using paired t-tests to compare the root mean square error between groups.
Results: The Pattern-tracking group demonstrated significant motor performance improvement, with a statistically significant difference in root mean square error (p < 0.001). This suggests that this specific biofeedback approach may be effective in enhancing motor performance in hand.
Conclusions: The study's findings support the task-oriented approach, which emphasizes the importance of adaptability to environmental changes, and the part versus whole training theory, which argues that breaking down a motor task into smaller components improves performance. The results highlight the importance of similar practices to the final objective for motor function improvement in the hand area. The study's findings have implications for the development of effective biofeedback interventions for motor performance improvement in individuals with hand-related motor impairments. Furthermore, the conclusions can be applied to various populations, including athletes and individuals in different lines of work, who can benefit from improved motor performance in their hands.
Methods and Materials: Sixty individuals were randomly assigned to one of four groups: Aircraft, Visual Gauge, Pattern-tracking, or a control group. Pre- and post-intervention assessments were performed to evaluate motor performance in hand. Statistical analysis was conducted using paired t-tests to compare the root mean square error between groups.
Results: The Pattern-tracking group demonstrated significant motor performance improvement, with a statistically significant difference in root mean square error (p < 0.001). This suggests that this specific biofeedback approach may be effective in enhancing motor performance in hand.
Conclusions: The study's findings support the task-oriented approach, which emphasizes the importance of adaptability to environmental changes, and the part versus whole training theory, which argues that breaking down a motor task into smaller components improves performance. The results highlight the importance of similar practices to the final objective for motor function improvement in the hand area. The study's findings have implications for the development of effective biofeedback interventions for motor performance improvement in individuals with hand-related motor impairments. Furthermore, the conclusions can be applied to various populations, including athletes and individuals in different lines of work, who can benefit from improved motor performance in their hands.
Type of Study: Research |
Subject:
General
Received: 2024/07/23 | Accepted: 2024/10/23 | Published: 2025/12/19
Received: 2024/07/23 | Accepted: 2024/10/23 | Published: 2025/12/19
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