The association between mobile phone use and neuromusculoskeletal complaints.

BACKGROUND: Mobile phones have become an essential component in our life. There are many concerns about the effects of prolonged mobile phone use on the upper extremity. OBJECTIVE: This research aims to investigate the effects of prolonged mobile phone use on the neuromusculoskeletal system of the upper extremity in young adults in Jordan. METHODS: A total of 228 subjects (age = 20.7±1.27 years) participated in this study. A structured questionnaire was used to collect data on sociodemographic variables, mobile phone size, hand/finger used for typing, duration of use daily, and the presence of musculoskeletal pain/syndromes and their location. RESULTS: Statistically significant relations (p < 0.05) were found between the prolonged use of mobile phones and self-reported pain in neck/upper back, hands, and symptoms of cubital syndrome; between smaller hand-to-phone ratio and pain in neck/upper back and shoulders with the higher frequency of pain in females. Females and subjects with a smaller hand-to-phone ratio tend to use two hands (p < 0.05). CONCLUSION: The results show an association between mobile phone use and self-reported pain. This study provides guidance for mobile phone manufacturers and regulatory agencies on the potential effects, the need for awareness programs that alert to musculoskeletal complaints, choosing the appropriate mobile phone, and changing using habits. Further investigations on a larger sample with quantitative measures on the kinematics and muscular activities are necessary to generalize and better interpret the results.

The Effect of Inspiratory Muscle Training on The Pulmonary Function in Mixed Martial Arts and Kickboxing Athletes.

Inspiratory muscle training (IMT) has found its way into athletes' routine as a promising way of improving pulmonary function in combination with standard training. The objective of the study was to examine the effects of resistive IMT on the pulmonary function variables in athletes of two combat sports, i.e., mixed martial arts (MMA) and kickboxing. Fourteen kickboxing and 12 MMA male athletes qualified for the study. They were randomly assigned into experimental and control groups. While both groups participated in their standard training, the experimental group additionally participated in IMT which consisted of 30 breaths twice a day for 6 weeks. The pulmonary functions were measured at baseline and after 6 weeks of IMT. The addition of IMT to standard training increased significantly the forced expiratory volume in the first second to vital capacity ratio (FEV1/VC), and the maximum voluntary ventilation (MVV) (p < 0.05) with changes of 5.7%, and 28.6%, respectively, in MMA athletes. The kickboxing group showed no significant changes. The interaction of the sport discipline and IMT intervention yielded a strong significant change in the MVV (F(1, 11) = 14.53, p < 0.01), and FEV1/VC (F(1, 11) = 20.67, p < 0.01) to the benefit of MMA athletes in comparison with kickboxing athletes. Combining resistive IMT for 6 weeks with standard training was effective to improve some pulmonary functions in MMA athletes, but did not lead to additional gains in kickboxing athletes.

The Effect of Bilateral Anodal Transcranial Direct Current Stimulation versus Treadmill Training on Brain Activities, Gait Functions, Level of Participation and Enjoyment of Children with Cerebral Palsy: A Randomized Controlled Trial Protocol.

BACKGROUND: Cerebral palsy (CP) possesses bilateral sensory-motor cortical excitability alterations. In past studies, researchers have applied unilateral anodal transcranial direct stimulation (tDCS) with inconsistent findings. OBJECTIVE: Examining the effects of treadmill training with either unilateral or bilateral anodal tDCS stimulation on brain activities, gait, and body functions of children with CP. DESIGN: Randomized-clinical-trial. PARTICIPANTS: Eighty children with CP will be allocated into: treadmill/bilateral-tDCS, treadmill/unilateral-tDCS, treadmill/sham-tDCS, and treadmill groups. Additional 20 neurotypical children will be recruited for comparison. INTERVENTION: Planned intervention will implement ten-sessions of treadmill training (50% of maximum-ground speed) either with unilateral-tDCS over left sensory-motor, or bilateral-tDCS over left/right sensory-motor areas. Brain activities, gait, body functions, and participation will be assessed at pre-intervention, post-intervention, and at one-month follow-up. RESULT AND DISCUSSION: This study would contribute to extant findings on the use of tDCS stimulation in children with CP and to our understanding of the appropriateness of the planned outcome measures.

Low Vision Profile in Jordan: A Vision Rehabilitation Center-Based Study.

The aim of this paper is to study the profile of persons with low vision in Jordan based on the clinical records of service users who attended the Vision Rehabilitation Center (VRC) at the German Jordanian University (GJU). A retrospective study was conducted by reviewing the archived data for persons with low vision attending the VRC over the period September 2012 to December 2017. The information collected included age, gender, referral, geographical distribution, chief functional visual problems, and ocular pathology. The records of 725 (28.9 ± 20.3 years old) persons out of 858 persons were analyzed. Almost half (50.6%) of the sample was less than 18 years old. The main cause of the low vision was retinal diseases (53.4%), followed by albinism. Gender and age showed no significant influence on ocular pathology distribution. For the referrals, ophthalmologists (37.8%) were the largest source of referral, followed by institutions for people with disabilities (14.9%). Near tasks were reported as the main functional problems for patients with low vision (74.9%), followed by distance tasks (8.3%). This study sets a precedent for determining the characteristics of persons with low vision in Jordan. Developing an efficient referral system between eye health care professionals and other health caregivers is important to ensure the best multidisciplinary services for low vision.

Awareness of Noise-Induced Hearing Loss and Use of Hearing Protection among Young Adults in Jordan.

Action to prevent noise-induced hearing loss is necessary, especially because many causes of permanent hearing loss are preventable. The aim of this study is to identify and raise awareness of the effect of loud sounds on hearing and effective ways to protect ears among young adults in Jordan. Using non-probability and convenience sampling, 245 students (113 female and 132 males, aged 21.5 years ± 2.18) from three universities participated in the study and filled the questionnaire completely. The questionnaire consisted of 19 questions targeting hearing health. The answers were analyzed statistically, and comparisons were made using the t-test. Hearing loss was regarded as an important issue by 64.1% of the participants. Among the participants, 58% already suffered from at least one hearing symptom, even though only 9.8% used earplugs to protect their hearing. After receiving information on noise-induced hearing loss, 56.3% were likely or somewhat likely to use earplugs in the future (p < 0.01). This indicates that education and knowledge have a strong influence on student attitudes. It is obvious that the awareness of noise-induced hearing loss among adults in Jordan is very low. The authorities, policymakers, media, and educational institutes should recognize their responsibility in raising the awareness of the danger of loud music among young adults.

EEG-Based Brain-Computer Interface for Decoding Motor Imagery Tasks within the Same Hand Using Choi-Williams Time-Frequency Distribution.

This paper presents an EEG-based brain-computer interface system for classifying eleven motor imagery (MI) tasks within the same hand. The proposed system utilizes the Choi-Williams time-frequency distribution (CWD) to construct a time-frequency representation (TFR) of the EEG signals. The constructed TFR is used to extract five categories of time-frequency features (TFFs). The TFFs are processed using a hierarchical classification model to identify the MI task encapsulated within the EEG signals. To evaluate the performance of the proposed approach, EEG data were recorded for eighteen intact subjects and four amputated subjects while imagining to perform each of the eleven hand MI tasks. Two performance evaluation analyses, namely channel- and TFF-based analyses, are conducted to identify the best subset of EEG channels and the TFFs category, respectively, that enable the highest classification accuracy between the MI tasks. In each evaluation analysis, the hierarchical classification model is trained using two training procedures, namely subject-dependent and subject-independent procedures. These two training procedures quantify the capability of the proposed approach to capture both intra- and inter-personal variations in the EEG signals for different MI tasks within the same hand. The results demonstrate the efficacy of the approach for classifying the MI tasks within the same hand. In particular, the classification accuracies obtained for the intact and amputated subjects are as high as 88 . 8 % and 90 . 2 % , respectively, for the subject-dependent training procedure, and 80 . 8 % and 87 . 8 % , respectively, for the subject-independent training procedure. These results suggest the feasibility of applying the proposed approach to control dexterous prosthetic hands, which can be of great benefit for individuals suffering from hand amputations.

An ensemble-based regression approach for continuous estimation of wrist and fingers movements from surface electromyography.

Late development and evolution of high degree-of-freedom (DOF) robotic hands have seen great technological strides to enhance the quality of life for amputated people. A robust hand kinematic estimation mechanisms have shown promising results to control robotic hands that can mimic the human hand functions and perform daily life hand dexterous tasks. In this paper, we propose an ensemble-based regression approach for continuous estimation of wrist and fingers movements from surface Electromyography (sEMG) signals. The proposed approach extracts time-domain features from the sEMG signals, and uses Gradient Boosted Regression Tree (GBRT) ensembles to estimate the kinematics of the wrist and fingers. Furthermore, we propose two different performance evaluation procedures to demonstrate the efficacy of the approach in providing a feasible approach towards accurately estimating hand kinematics.