Objective: The purpose of this study was to investigate the effects of different frequency on of knee extensors muscle function during electrical muscle stimulation (EMS). Method: In this research, 40 subjects who have no musculoskeletal disorder, and less than a year workout experience were recruited in order to analyze effects of EMS with different stimulus frequency. Forty subjects were randomly divided into four groups of ten subjects in each group. A EMS training program with different frequencies (without EMS [WE], EMS with frequency 30 Hz [E30], EMS with frequency 60 Hz [E60], EMS with frequency 90 Hz [E90]) was assigned to each group. Throughout eight weeks of training, test subjects were simultaneously carried out knee extension exercises such as squat, leg extension, and leg-press while using EMS with different frequency (20 min, pulse width 250 ㎲, on-off ratio 1:1). Isokinetic knee extension strength, muscle activity of the rectus femoris (RF), the vastus medialis (VM), and the vastus lateralis (VL), and the median frequency of the RF, the VM, and the VL were collected and compared between pre and post training in order to find effects of applying EMS with different frequencies. For each dependent variable, a one-way ANOVA was to determine whether there were significant differences among four different conditions (p<.05). When a significant difference was found, post hoc analyses were performed using the contrast procedure. Results: When compared to WE and E90, E30 causes significant increase in isokinetic knee extension strength. No significant differences were found in EMG values across different EMS conditions. However, the median frequency of the VM in E30 was significantly increased than the corresponding value for WE. Conclusion: The results of this study showed that EMS training with 30 Hz frequency had positive effect on knee extensor. Based of the findings of the present study, EMS training with lower frequency may help the performer to focus on developing strength in knee extensor muscles.
Background: Neurofeedback is an electroencephalographic biofeedback technique for training individuals to alter their brain activity via operant conditioning. Also neurofeedback is a form of behavioural training aimed at developing skills for brain activity. Within the past decade, several neurofeedback studies have been published that tend to overcome the methodological shortcomings of earlier studies. This research describes the methodical basis of neurofeedback and reviews the evidence base for its clinical efficacy and effectiveness in attention-deficit hyperactivity disorder (ADHD). Methods: In neurofeedback training, self-regulation of specific aspects of electrical brain activity is acquired by means of immediate feedback and positive reinforcement. In frequency training, activity in different EEG frequency bands has to be decreased or increased. Slow cortical potentials (SCPs) training is focused on the regulation of cortical excitability. Results: Neurofeedback studies revealed training-specific effects on, for example, attention and memory processes and performance improvements in real-life conditions, in healthy subjects as well as in patients. In several studies it was shown that ADHD symptomatology was reduced after frequency training or SCP(Slow cortical potentials) training. Moreover a decrease of impulsivity errors and an increase of the contingent negative variation. Conclusions: This research provides evidence for both positive behavioural and specific neurophysiological effects of neurofeedback training. Also there is growing evidence for neurofeedback as a valuable module in neuropsychiatric disorders. Further, controlled studies are warranted.
Purpose: This study aims to assess the influencing factors on the level of satisfaction with clinical training and to provide basic data for more efficient clinical training. Method: The study was conducted on 402 paramedic students who have experienced clinical training from September 6 until October 12 in 2011. The questionnaires consisted of 40 questions. We used SPSS 18.0 frequency analysis, technical statistics, t-test, ANOVA, Pearson's correlation coefficients and multiple regression analysis. Result: 1. The level of satisfaction with clinical training showed significant difference between the frequency (F=8.837, p=.000) and clinical training managers (F=5.418, p=.001). 2. The level of satisfaction with clinical training showed the strongest positive correlation with the satisfaction of clinical training hospitals (r=.694, p=.000). 3. Multiple regression analysis revealed the most powerful predictor for satisfaction with clinical training was the satisfaction level of clinical training hospitals(48.2%) and the frequency of clinical training experiences(.8%), the preparation before the clinical training(5.4%), the total duration of clinical training(.7%), and the satisfaction of emergency department education(1.0%). These five variables accounted for 56.1% of the satisfaction of clinical training among paramedic students. Conclusion: As student's satisfaction of the clinical training increases, the quality of paramedics is expected to improve in the future. As a result, the future paramedics can be nurtured to be highly skilled in on-the-scene emergency situations after graduation.
Purpose: The purpose of the study was to investigate the effects of HMD (head mounted display)-based virtual reality balance training on static balance in young adults, and whether appropriate balance training can help healthy adults to improve balance ability in daily living. Methods: The study subjects were 14 healthy adults. Subjects received 20 minutes of HMD-based virtual reality balance training 3 times per week for 4 weeks. Static balance was measured before, during, and after training and after one month. Static balance was measured in a total of 8 conditions, and the results were classified as visual (F1), somatosensory (F5-6), vestibular (F2-4), and central nervous system (F7-8). Results: The test results showed no significant difference in pre-training, post-training, and follow-up results under all conditions at Fourier index F1, F5-6, and F7-8 frequencies. For the F2-4 frequency, there was a significant difference before and after training under NC (neutral head position, eyes closed, firm surface) and PC (neutral head position, eyes closed, elastic surface) conditions. The NC condition returned a significant decrease of F2-4 frequency in post-training testing as compared to pre-training, and the PC condition showed a significant decrease of F2-4 frequency between the pre-training and mid-training tests, and between the pre-training and post-training tests. Conclusion: These results indicate that HMD-based balance training can improve balance ability, even in normal adults, and seems especially effective for vestibular function training.
Purpose: The purpose of this study was to identify registered nurses learning needs about physical assessment. Specifically, what are the perceived competency, frequency of skill use and the unmet training needs. Methods: The study was an exploratory survey study. The sample was 104 registered nurses. Data were collected through three instruments: The Perceived Competency in Physical Assessment Scale, the Frequency of Physical Assessment Scale, and the Training Needs of Physical Assessment Scale which incorporated 30 core Physical Assessment skills. Descriptive statistics, t-test, and Pearson's correlation coefficient were used to analyze the data. Results: Auscultation of heart and lung sounds and inspection of the spine were rated by the subjects as physical assessment skills they feel least competent and also were less frequently performed. The most competent area for physical assessment was neurological system. The respiratory and abdominal system was identified as two systems that more education would be needed. Nurses with less than one year of working experience reported needing more training. Nurses with more than five years of clinical work experience performed physical assessment more frequently than nurses with less than five year of work experience. The perceived competency was positively related to the frequency of physical assessment. Conclusion: Continuing education is necessary to further train registered nurses regarding physical assessment skills and the program needs to be focused on the area which nurses are less competent for and have high training need.
The purpose of this study was to identify job frequency and the training needs of dieticians in elderly health care facilities. This study consisted of dieticians working in elderly health care facilities with a capacity of over 50 elderly. Survey questionnaires were distributed to 190 dieticians through the mail and 106 dieticians (55.8%) participated in this study. The results of the survey showed that dieticians in elderly health care facilities frequently performed the following job: work management, safety and sanitation management, purchase management, human resource management, finance management, nutrition management, and marketing management. The job frequency in safety and sanitation management (p<0.05) and nutrition management (p<0.01) areas were significantly different by the number of dieticians. Safety and sanitation management and menu management were considered job areas that needed further training and education. Dieticians in elderly health care facilities responded that the following jobs should require not only training but are also frequently performed: safety and sanitation management, menu management, work management, and human resource management. Thus, based on the results of this study, continuous training programs in these fields should be offered to satisfy the needs of dieticians.
Superimposed training (SIT) design for estimating of time-varying multipath channels is investigated for mobile orthogonal frequency division multiplexing (OFDM) systems. The design of optimum SIT consists of two parts: The optimal SIT sequence is derived by minimizing the channel estimates' mean square error (MSE); the optimal power allocation between training and information data is developed by maximizing the averaged signal to interference plus noise ratio (SINR) under the condition of equal powered paths. The theoretical analysis is verified by simulations. For the metric of the averaged SINR against signal to noise ratio (SNR), the theoretical result matches the simulation result perfectly. In contrast to an interpolated frequency-multiplexing training (FMT) scheme or an SIT scheme with random pilot sequence, the SIT scheme with proposed optimal sequence achieves higher SINR. The analytical solution of the optimal power allocation is demonstrated by the simulation as well.
This paper has interest in the effect of a fine frequency offset, defined in ITU-T G.225, to the training performance of an adaptive equalizer. This paper uses Hilbert filter in configuring a transmission system model in order to let it get a frequency offset. Also additive white Gaussian noise and band-limited filter are considered. The signal received from the above transmission system applies to an adaptive equalizer with LMS algorithm, and its training procedures are investigated. As a result, we could find that even small fine frequency offset can severely deteriorate training performance of adaptive algorithm.
The purpose of this study was to identify the effectiveness of bladder training on self voiding after removal of catheter in female patients with craniotomy, finally to develop a bladder rehabilitation program for cognitive impaired patients. Nonequivalent control group posttest design was used. The population of this study consisted of 34 hospitalized neurosurgical patients, all patients have been received craniotomy. 17 patients were assigned to the experimental group and another 17 patients to the control group. The homogeneity of general characteristics of the subjects was no significant difference. Bladder training program consisted of pre-training education, the bladder training, positive verbal reinforcement. The experimental group has been received bladder training and the control group has been received gravity drainage. The dependent variable, the frequency of voiding trial untill self voiding achieves, the frequency of urinary retention, the amount of residual urine, the occurrence, of urinary incontinence, were measured during 3 days after catheter removed. The data analyzed with SPSSWIN ; frequency, percentage, t-test and $X^2$-test were used to analyze homogeneity of general characteristics of subjects between the experimental and the control group. T-test, Mann-Whitney U test, and $X^2$-test were used to determine the effect of bladder training. The result of the study were as follows : There was significant difference in the frequency of voiding trial untill self voiding achieves between the experimental group and the control group. There was no significant difference in the frequency of urinary retention between the experimental group and the control group. There was no significant difference in the amount of residual urine between the experimental group and the control group. However, there was significant difference in the amount of residual urine in urinary retention patients. There was significant difference in the occurrence of urinary incontinence between the experimental group and the control group. In conclusion, bladder training program as a nursing intervention was effective in conclusion, bladder self voiding ability after removal of catheter for craniotomy patients. Therefore, it is recommended to use the bladder training program clinically for the bladder management of cognitive impaired patients.
Since it is almost impossible to train the dispatchers with real power system, the dispatcher training simulator(DTS) is used for the training. Among various components of the DTS, the power system model(PSM) emulates the dynamic behavior of the power system to calculate the frequency and voltage. The frequency is calculated from various parameters such as mechanical power of power plants, load, inertia, and the damping of the power system. In the PSM, the power plants are modeled as differential equations, so the mechanical power of the power plants are calculated by the numerical methods. Conventionally, the fixed step-size algorithm has been used in the PSM, however it has some drawbacks. This paper develops the prototype PSM using the Matlab, and analyzes the problems of the fixed step-size algorithm by comparing the results with those of PSCAD simulation. In order to overcome the limitations, this paper proposes a modified frequency calculation method using the adaptive step-size algorithm. From the simulation using the proposed method, it is verified that the accuracy of frequency calculation increases substantially while the simulation time is not greatly increased.
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