Background: A growing body of evidence suggests the benefit of motor imagery in motor learning. While some studies tried to look at the effect of isolated mental practice, others evaluated the combined effect of motor imagery and physical practice in clinical rehabilitation. This study aimed to investigate the effects of task complexity or rates of motor imagery on motor learning in health young adults.Methods: Eighty-eight healthy individuals participated in this study. Participants were randomly allocated to either Group A (50% complex, N = 22), Group B (75% complex, N = 22), Group C (50% simple, N = 22), or Group D (75% simple, N = 22).Participants in the complex groups performed their task with nondominant hand and those in simple groups with a dominant hand. All participants performed a task that involved reach, grasp, and release tasks. The performance of the four groups was examined in the acquisition and retention phase. The main outcome measure was the movement time.Results: There were significant differences between immediate (i.e., acquisition) and late (i.e., retention) movement times at all three stages of task (i.e., MT 1 [reaching time], MT 2 [target transport time], and TMT [reaching time plus object transport time]) when individuals performed complex task with 75% imagery rate (p < .05).Similarly, there were significant differences between immediate and late movement times at all stages of task except the MT 2 when individuals performed simple task with 75% imagery rate (p < .05). There were significant effects of task complexity (simple vs. complex tasks) on immediate movement time at the first stage of task (i.e., MT 1 ) and late movement times of all three stages of task (p < .05). There were significant effects of the rate of imagery (50% vs. 75%) on late movement times at all three stages of tasks (p > .05). Additionally, there were no interaction effects of either task complexity or rate of imagery on both immediate and late movement times at all three stages of tasks (p > .05). Conclusion:This study supports the use of higher rates (75%) of motor imagery to improve motor learning.
BackgroundTeaching of motor skills is fundamental to physical therapy practice. In order to optimize the benefits of these teaching and training efforts, various forms of patient education material are developed and handed out to patients. One very important fact has been overlooked. While comparative effectiveness of various modes of instruction has been studied in adults, attention has not been paid to the fact that learning capabilities of children are different from that of adults. The intent of the present study is to compare the effectiveness of video and handout mode of instructions specifically on children.MethodsA total of 115 normal elementary-age children aged 10 to 12 years of age were studied. The children were randomized into two groups: A) the video group, and B) the handout group. The video group viewed the video for physical therapy exercises while the handout group was provided with paper handouts especially designed according to the readability of their age group.ResultsStatistical analysis using the student's't' test showed that subjects of both the video and handout groups exhibited equal overall performance accuracy. There was no significant difference between the groups both in acquisition and retention accuracy tests.ConclusionThe findings of the present study suggest that if the readability and instructional principles applicable to different target age groups are strictly adhered to, then both video as well as handout modes of instructions result in similar feedback and memory recall in ten to twelve year-old children. Principles of readability related to the patient age are of utmost importance when designing the patient education material. These findings suggest that the less expensive handouts can be an effective instructional aid for teaching exercises to children with various neuromuscular, rheumatic, and orthopedics conditions and the most costly videotape techniques are not necessarily better.
The study employed a pre-and post-test experimental design. Purpose: This study was designed to assess the effect of neurodynamic mobilization of the median nerve on upper limb spasticity in tetraplegic patients. Overview of Literature: Spasticity is a common and potentially disabling and bothersome complication in patients with spinal cord lesion; this disorder can negatively influence the quality of life by restricting the patient's ability to perform activities of daily living. Neural mobilization is currently used for reducing the spasticity in individuals with neurological disorders. Methods: Twenty subjects with traumatic spinal cord injury (level C5-C8) and upper limb spasticity in the finger and wrist flexors were enrolled. They were randomly allocated to two different groups using a computer-generated randomization schedule: group I comprised the neurodynamic mobilization group (n=11) and group II was the conventional therapy group (n=9); the subjects were administered therapy for 5 days every week for a period of 4 weeks. Upper limb spasticity was assessed using the Modified Ashworth Scale for wrist and finger flexors; F-wave amplitude, latency, and F-wave/M-wave amplitude ratio (F/M ratio) were examined using the F-wave scores of the median nerve; and upper limb function was determined using the Capabilities of Upper Extremity (CUE) Questionnaire. Results: After 4 weeks of intervention, between-group comparisons showed a significant difference in the pre-intervention and postintervention scores on the Modified Ashworth Scale score for wrist flexors (−1.64±0.67), Modified Ashworth Scale score for finger flexors (−1.00±0.63), F-wave amplitude (−154.09±220.86), F/M ratio (−0.18±0.24), and CUE scores (17.82±13.49). Conclusions: These results suggest that neurodynamic mobilization of the median nerve may be effective for upper limb spasticity control and upper limb functional improvement in tetraplegic patients.
People have the ability to make sensible assumptions about other people's emotional states by being sympathetic, and because of our common sense of knowledge and the ability to think visually. Over the years, much research has been done on providing machines with the ability to detect human emotions and to develop automated emotional intelligence systems. The computer's ability to detect human emotions is gaining popularity in creating sensitive systems such as learning environments, health care systems and real-world. Improving people's health has been the subject of much research. This paper describes the formation as conceptual evidence of emotional acquisition and control in intelligent health settings. The authors of this paper aim for an unconventional approach with a friendly look to get emotional scenarios from the system to establish a functional, non-intrusive and emotionally-sensitive environment where users can do their normal activities naturally and see the program only when pleasant mood activating services are received. The contextsensitive system interacts with users to detect and differentiate emotions through facial expressions or speech recognition, to make music recommendations and mood color treatments with the services installed on their IoT devices.
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