Motion Exercises Research Articles

Effective Surgical Management of Femoralhead Affections in Dogs: Review of Ten Cases

Ten dogs suffering from various conditions affecting the coxofemoral joint, including hip dysplasia, hip luxation, and femoral capital fractures, were included in the study. Nine of these dogs underwent treatment with femoral head osteotomy, while one case of hip luxation was treated using a toggle technique. All procedures involved a cranio-lateral incision approach and osteotomy performed with an oscillating saw. Following physiotherapy and passive range of motion exercises, all the dogs exhibited pain-free ambulation. The simple Femoral Head Ostectomy surgery effectively manages various femoral head affections, alleviating pain and leading to a significant improvement in the quality of life.

The Impact of Bilateral Range of Motion Exercises on Upper Limb Muscle Strength in Stroke Patients

Stroke is a condition that arises due to a disruption in blood circulation in the brain, which results in the death of brain tissue, causing a person to suffer paralysis and even death. Exercise activities are part of a rehabilitation program that enhances patient movement. Exercise therapy, such as range of motion (ROM) exercises, is the movement of a joint through its entire range in all appropriate directions. This research method is quantitative, with a one-group pre-test and post-test design. A sample of 24 respondents was taken using the purposive sampling technique at RSUP Dr. Sitanala Tangerang. Data collection used two instruments, namely a bilateral ROM checklist and a guide to muscle strength values. Data analysis used the paired t-test in univariate analysis and bivariate analysis. The results of statistical tests using the t-dependent test (paired sample t-test) showed that of the 24 respondents, the mean pre-test value was ± 3.38 and the mean post-test was ± 4.50. The statistical test results show a p-value of 0.000 (α<0.05). Therefore, we can conclude that ROM has an influence on increasing muscle strength in stroke patients.

Effects of Treatments Applied in Myasthenia Gravis on Gait: Review

Myasthenia Gravis (MG) is an autoimmune disease in which neuromuscular transmission is blocked and neuromuscular junction physiology is affected. The main feature in MG is altered muscle weakness and fatigue of muscle groups that worsens with exercise and improves with rest. With the emergence of muscle weakness in the following periods, walking is affected in MG. This causes balance and walking problems. Most of the patients have complaints of falling and fear of falling. While applying MG treatment, myasthenic symptoms should be reduced and a stable clinical picture should be obtained in which the daily activities of the person are relieved. The aim of this study is to understand the effect of rehabilitation practices on gait in MG and to determine which exercises are effective. As a result, physiotherapy and rehabilitation approaches can provide solutions to patients' complaints, albeit symptomatically. Active resistance exercises, aerobic exercises, balance strategy training, endurance exercises, posture exercises, stretching exercises and active–passive range of motion exercises should be performed in an exercise program. In addition, rhythmic auditory stimulation and pre-surgical respiratory physiotherapy also have positive effects on walking.

Effect of Range of Motion Exercise on Extremity Joint Muscle Strength in Ischemic Stroke Patients a Literature review

Effect of Range of Motion Exercise on Extremity Joint Muscle Strength in Ischemic Stroke Patients a Literature review

Development of elbow rehabilitation device with iterative learning control and internet of things

In this study, we present a novel approach for rehabilitation devices through the design of an active elbow joint orthosis, inspired by the fundamental principles of robotic exoskeletons. The device not only enables home-based usage but also facilitates the transmission of exercise data from patients to physiotherapists via the Internet of Things (IoT) device. This approach offers the possibility of increased therapy sessions for each patient while allowing physiotherapists access to data for real-time or subsequent analyses, thereby establishing a database. This permits a single physiotherapist to manage multiple patients more effectively. The developed mobile application within this research incorporates a distinct entry interface for both patients and physiotherapists. Maximum force and position values generated during each exercise period are displayed within the application. The device enables active exercise with a single degree of freedom at the elbow joint and is equipped with force sensors to ensure safety against potential high-shear forces. Furthermore, it can be worn on the upper extremity using adjustable Velcro straps to accommodate users with varying arm circumferences. Specifically, this system amalgamates two primary components: a microcontroller operating control algorithms and IoT technology, and a smartphone application containing interfaces for physiotherapists and users undergoing therapy. The control design of the device employs a P-Type Iterative Learning Control (ILC) due to periodic exercise movements, reducing the error norm by approximately 20% during each exercise period (excluding the initial period). The controller consistently diminishes error values with each iteration, ultimately converging to zero. Throughout an exercise lasting around 3 minutes, the average error norm is recorded as 0.229⁰. In essence, this study presents a pioneering approach that sets itself apart from other research by minimizing shear forces and errors through a specialized controller, all while enabling remote, home-based rehabilitation under expert supervision.

Addressing Data Absenteeism and Technology Chauvinism in the Use of Gamified Wearable Gloves Among Older Adults: Moderated Usability Study.

Digital health technologies have the potential to improve health outcomes for older adults, especially for those recovering from stroke. However, there are challenges to developing these technologies, such as data absenteeism (where older adults' views are often underrepresented in research and development) and technology chauvinism (the belief that sophisticated technology alone is the panacea to addressing health problems), which hinder their effectiveness. In this study, we aimed to address these challenges by developing a wearable glove integrated with culturally relevant exergames to motivate older adults to exercise and, for those recovering from stroke, to adhere to rehabilitation. We conducted a moderated usability study with 19 older adults, of which 11 (58%) had a history of stroke. Our participants engaged in a 30-minute gameplay session with the wearable glove integrated with exergames, followed by a quantitative survey and an in-depth interview. We used descriptive analysis to compare responses to the System Usability Scale between those who had a history of stroke and those who did not. In addition, we analyzed the qualitative interviews using a bottom-up thematic analysis to identify key themes related to the motivations and barriers regarding the use of wearable gloves for rehabilitation and exercise. Our study generated several key insights. First, making the exergames exciting and challenging could improve exercise and rehabilitation motivation, but it could also have a boomerang effect, where participants may become demotivated if the games were very challenging. Second, the comfort and ease of use of the wearable gloves were important for older adults, regardless of their stroke history. Third, for older adults with a history of stroke, the functionality and purpose of the wearable glove were important in helping them with specific exercise movements. Our findings highlight the importance of providing contextual support for the effective use of digital technologies, particularly for older adults recovering from stroke. In addition to technology and usability factors, other contextual factors such as gamification and social support (from occupational therapists or caregivers) should be considered to provide a comprehensive approach to addressing health problems. To overcome data absenteeism and technology chauvinism, it is important to develop digital health technologies that are tailored to the needs of underserved communities. Our study provides valuable insights for the development of digital health technologies that can motivate older adults recovering from stroke to exercise and adhere to rehabilitation.

A scoping review of occupational health education programs for music students and teachers

Embedding musicians’ occupational health training in music education curricula is widely recommended due to the well-documented high prevalence of performance-related health problems (PRHPs) among musicians across their lifespan. A scoping review was conducted to examine the range of evidence from implementations of musicians’ health education programs, regarding the maintenance of hearing, musculoskeletal, psychological, and vocal health, as well as injury prevention strategies to minimize the risk of PRHP. Eligible sources of evidence included published and unpublished studies reporting occupational health education programs (which may have incorporated information on physical or psychological health, exercise, or somatic movement training) implemented with pre-tertiary and tertiary music students and teachers. Studies reporting stand-alone psychological health education were excluded. Key characteristics from included studies were extracted and charted. Data charts outline commonalities across the reported results, including physical, psychological, educational, and behavioral change outcome measures. Out of 46 records included for data extraction, 35 reported programs with tertiary-aged music students, seven reported programs with pre-tertiary-aged music students, two reported programs with music teachers, and two reported systematic reviews. Reported benefits from this research with both pre-tertiary and tertiary music students suggest that musicians’ health education and injury prevention strategies reduce self-reported playing-related pain and music performance anxiety. However, future implementation studies need to address identified challenges such as effective behavior change and the enablers and barriers to the long-term adoption of strategies for optimal music performance and health outcomes. This review highlights the need for further research into designing and embedding musicians’ health education into all music training settings, including more implementations with pre-tertiary music students, as well as training to support the professional development needs of instrumental and vocal teachers.

Early results of the combined grafting–cementation technique for the treatment of giant cell tumors with a large subchondral bone defect: a case series

Background Giant cell tumor (GCT) is a rare, locally aggressive bone tumor. It typically affects young adults close to the joints, mainly the knee joint. The high recurrence rate, along with erosion of the subchondral bone complicates the surgical plan. Current treatment standards involve extended curettage followed by space-filling by cement or graft. We present a detailed technique using a combined technique using both bone graft and cement for reconstructing GCT-related subchondral damage. Patients and methods Eighteen patients underwent surgery from January 2018 to December 2021. The surgery involved extended curettage using a high-speed burr, and lavage using hydrogen peroxide. Placement of the graft as a subchondral shelf helps to support the articular cartilage. Bone cement was applied to fill the cavity and support the graft; internal fixation was used in large-sized lesions. Results The mean follow-up is 34.5 months. Oncologically, local recurrence was reported in one case, with a distal radius location, and no distant metastasis was reported. Functionally, 86.6% had excellent/good Musculoskeletal Tumor Society score scores. Graft union had occurred in all cases; mean union time was 12 weeks. Rehabilitation included immediate passive range of motion exercises and partial weight bearing. The pain had improved significantly in all cases. Muscle power had been temporarily affected in five cases. One patient had a wound infection, managed with antibiotics. Conclusion Treatment of GCTs is challenging. The standard treatment involves curettage and gap filling. The presence of the cement close to the articular cartilage can lead to osteoarthritis due to different modulus of elasticity. We describe this combined technique to provide support, insulation, and stability, and minimize the stresses on the articular cartilage. The results of this technique are promising and yield good functional and oncological outcomes. Further research is needed to evaluate its long-term efficacy in preventing progressive osteoarthritis.

The effect of electromyography triggered electrical stimulation to abdominal muscles on sitting balance, respiratory functions, and abdominal muscle thickness in complete spinal cord injury: a randomized controlled trial.

Complete thoracic spinal cord injury (SCI) results in a loss of innervation to the abdominal muscles, which affects trunk stability and performance of activities of daily living from a sitting position. Respiratory function is also affected, leading to frequent pulmonary complications. Given the importance of trunk stability and respiratory function, we investigated the effects of electromyography triggered electrical stimulation (EMG-ES) applied to the abdominal muscles on sitting balance, respiratory functions and abdominal muscle thickness in individuals with complete thoracic SCI. This randomized controlled study included 34 participants with complete thoracic SCI who were randomly allocated to the experimental group ( n = 17) and the control group ( n = 17). During the 4-week intervention period, the experimental group received EMG-ES to their abdominal muscles, while the control group received isometric abdominal exercises three times per week. Both groups continued with their routine rehabilitation program (active or passive range of motion exercises, stretching, and balance coordination exercises). The primary outcome measures were the modified functional reach test (mFRT) and trunk control test (TCT). Secondary outcome measures included a pulmonary function test (PFT) and the bilateral abdominal muscle thicknesses using ultrasonography. At the end of the study, the experimental group showed significantly greater improvements in both primary outcomes. The mean difference in pre-post changes between the groups for the mFRT area was 242.8 cm² [95% confidence interval (CI): 181.3-329.8; effect size 0.92; P < 0.001] and 5.0 points for TCT (95% CI: 3.9-6.0; effect size 0.98, P < 0.001). The increase in the abdominal muscle thickness was also significantly greater in the experimental group ( P < 0.001) without significant differences in the PFT ( P > 0.05). We conclude that adding EMG-ES of abdominal muscles may further improve sitting balance and abdominal muscle thickness in individuals with complete thoracic SCI.

Enhancing automated lower limb rehabilitation exercise task recognition through multi-sensor data fusion in tele-rehabilitation

BackgroundTele-rehabilitation is the provision of physiotherapy services to individuals in their own homes. Activity recognition plays a crucial role in the realm of automatic tele-rehabilitation. By assessing patient movements, identifying exercises, and providing feedback, these platforms can offer insightful information to clinicians, thereby facilitating an improved plan of care. This study introduces a novel deep learning approach aimed at identifying lower limb rehabilitation exercises. This is achieved through the integration of depth data and pressure heatmaps. We hypothesized that combining pressure heatmaps and depth data could improve the model’s overall performance.MethodsIn this study, depth videos and body pressure data from an accessible online dataset were used. This dataset comprises data from 30 healthy individuals performing 7 lower limb rehabilitation exercises. To accomplish the classification task, three deep learning models were developed, all based on an established 3D-CNN architecture. The models were designed to classify the depth videos, sequences of pressure data frames, and combination of depth videos and pressure frames. The models’ performance was assessed through leave-one-subject-out and leave-multiple-subjects-out cross-validation methods. Performance metrics, including accuracy, precision, recall, and F1 score, were reported for each model.ResultsOur findings indicated that the model trained on the fusion of depth and pressure data showed the highest and most stable performance when compared with models using individual modality inputs. This model could effectively identify the exercises with an accuracy of 95.71%, precision of 95.83%, recall of 95.71%, and an F1 score of 95.74%.ConclusionOur results highlight the impact of data fusion for accurately classifying lower limb rehabilitation exercises. We showed that our model could capture different aspects of exercise movements using the visual and weight distribution data from the depth camera and pressure mat, respectively. This integration of data provides a better representation of exercise patterns, leading to higher classification performance. Notably, our results indicate the potential application of this model in automatic tele-rehabilitation platforms.

Theoretical justification of the concepts of "Recreation" and "Recreation technologies"

The authors of the article emphasize that with the emergence of an educational program on fitness and recreation (specialty "017 Physical culture and sport"), there was a need to theoretically substantiate the very definitions of "recreation", "recreational technologies", "recreational factors" and the content of this educational program. necessary items, including which we believe to provide for the study of the discipline "Recreational technologies", the purpose of which is the assimilation by students of technologies for optimizing the physical condition, working capacity and health of a person, eliminating residual phenomena after suffered injuries and diseases using physical exercises enhanced by recreational factors. This goal can be achieved by improving technologies, methods, programs for the use of recreational means and factors that enhance the effectiveness of health-improving movement exercises and conducting recreation classes. Based on this, we refer to the means of recreational technologies: 1). Health movement exercises and technologies, methods, programs of their application in accordance with the provisions of the theory and methods of physical education. 2) Recreational factors and means that enhance and optimize the health-improving effect of motor exercises during their performance.

Physiotherapy for Alzheimer’s Disease: A Case Report

Alzheimer's disease is a progressive neurological condition characterized by brain changes resulting in the accumulation of specific proteins, leading to brain shrinkage and eventual cell death. It is the primary cause of dementia, resulting in a gradual decline in memory, cognition, behaviour, and social skills, impairing overall functionality. The case study involves an 84-year-old woman displaying symptoms of Alzheimer's disease requiring physiotherapy rehabilitation. Assessment reveals joint pain, abnormal gait, respiratory issues due to pneumonia, reduced balance and cognitive function, concentration difficulties, impaired decision-making, fluctuating moods, and behavioural issues such as depression and aggression. Physical examination shows shoulder shrugging and slight tension in the upper trapezius muscle. The rehabilitation program involves various interventions like stretching, strengthening, aerobic exercises, breathing exercises, lung clearance techniques, active range of motion exercises, postural control, and gait training. The role of the physiotherapist is to address the both physical and cognitive decline and improve mood and behaviour.

Support of Cancer Patients at the Stage of Early Rehabilitation: Possibilities of Postural Correction and Art Therapy Techniques

Introduction. Early rehabilitation of cancer patients after surgery plays an important role in their recovery and return to normal functioning. One of the tasks of this stage of treatment is to restore physical activity of the body, in particular, through postural correction. The medical aspects of this process are well described in the literature, however, the psychological aspects of the postural correction process are not sufficiently covered. Even fewer studies are devoted to restoring the psychological state of cancer patients. Purpose. Analysis of the possibilities of postural correction of cancer patients and the possibility of using art therapy techniques to normalize the psychological state during early rehabilitation.Theoretical justification. One of the key elements of postural correction is the restoration of the ability to maintain balance. For this purpose, special devices are used – stabilometric platforms. Another important element is the restoration of voluntary movements. For a more effective recovery, it is worth teaching patients the psychological adjustment to exercise movements. When the patient plans a movement, he forms a mental construct “task to be completed”, which promotes more precise movements. Restoration of their stable psychological state of cancer patients is possible, in particular, through art therapy techniques. One of the techniques, coloring mandalas, involves both hemispheres of the patients’ brains, triggering cognitive processes through the activation of fine motor skills. This provides a natural therapeutic process: the brain works initially on simple tasks and gradually moves on to more complex ones. The details of the mandala drawing are thought out in such a way that in the process of working on it, the patient focuses on his inner state – thoughts and feelings.Discussion. The importance of an integrated approach to the rehabilitation of cancer patients is increasingly emphasized in scientific papers. During the early rehabilitation period, the patient is in the most vulnerable state, both physically and psychologically. The use of psychological techniques can ensure that the patient can restore a more holistic image of himself both physically and internally.

Effect of Eye Movement Exercise on Pain and Sleep Quality among Patients with Burn

Effect of Eye Movement Exercise on Pain and Sleep Quality among Patients with Burn

Effectiveness of Eye Movement Exercise Application on Pain and Anxiety among Children undergoing Haemodialysis

Effectiveness of Eye Movement Exercise Application on Pain and Anxiety among Children undergoing Haemodialysis

Exercise quantification from single camera view markerless 3D pose estimation

Sports physiotherapists and coaches are tasked with evaluating the movement quality of athletes across the spectrum of ability and experience. However, the accuracy of visual observation is low and existing technology outside of expensive lab-based solutions has limited adoption, leading to an unmet need for an efficient and accurate means to measure static and dynamic joint angles during movement, converted to movement metrics useable by practitioners. This paper proposes a set of pose landmarks for computing frequently used joint angles as metrics of interest to sports physiotherapists and coaches in assessing common strength-building human exercise movements. It then proposes a set of rules for computing these metrics for a range of common exercises (single and double drop jumps and counter-movement jumps, deadlifts and various squats) from anatomical key-points detected using video, and evaluates the accuracy of these using a published 3D human pose model trained with ground truth data derived from VICON motion capture of common rehabilitation exercises. Results show a set of mathematically defined metrics which are derived from the chosen pose landmarks, and which are sufficient to compute the metrics for each of the exercises under consideration. Comparison to ground truth data showed that root mean square angle errors were within 10° for all exercises for the following metrics: shin angle, knee varus/valgus and left/right flexion, hip flexion and pelvic tilt, trunk angle, spinal flexion lower/upper/mid and rib flare. Larger errors (though still all within 15°) were observed for shoulder flexion and ASIS asymmetry in some exercises, notably front squats and drop-jumps. In conclusion, the contribution of this paper is that a set of sufficient key-points and associated metrics for exercise assessment from 3D human pose have been uniquely defined. Further, we found generally very good accuracy of the Strided Transformer 3D pose model in predicting these metrics for the chosen set of exercises from a single mobile device camera, when trained on a suitable set of functional exercises recorded using a VICON motion capture system. Future assessment of generalization is needed.

On-Screen Visual Feedback Effect on Static Balance Assessment with Perturbations.

In this study, the novel mobile dynamometric platform, OREKA, was utilized to perform an extensive analysis of the centre of pressure behaviour during different tilt motion exercises. This platform is based on a parallel manipulator mechanism and can perform rotations around both horizontal axes and a vertical translation. A group of participants took part in an experimental campaign involving the completion of a set of exercises. The aim was to evaluate the platform's potential practical application and investigate the impact of visual on-screen feedback on centre of pressure motion through multiple balance indicators. The use of the OREKA platform enables the study of the impact on a user's balance control behaviour under different rotational perturbations, depending on the availability of real-time visual feedback on a screen. Furthermore, it presented data identifying postural control variations among clinically healthy individuals. These findings are fundamental to comprehending the dynamics of body balance. Further investigation is needed to explore these initial findings and fully unlock the potential of the OREKA platform for balance assessment methodologies.

Online pain neuroscience education and graded exposure to movement in breast cancer survivors: protocol of a randomized controlled trial.

Cancer-related chronic pain is an important sequelae that damages the quality of life of breast cancer survivors. Pain neuroscience education and graded exposure to movement are therapeutic tools that have been shown to be effective in the management of chronic pain in other populations. However, there are no previous studies that combine them after breast cancer. To evaluate the effectiveness of an online physiotherapy focused-person program which combines pain neuroscience education and graded exposure to movement for quality of life improvement in breast cancer survivors. This protocol is a randomized controlled trial with a sample size of 40 breast cancer survivors with pain in the last 6 months. Participants will be allocated to the experimental or control group using a fixed size block randomization method. The evaluator and statistician will be blinded to participant allocation. Participants in the experimental group will receive a 12-week intervention based on pain neuroscience education and therapeutic yoga as a graded exposure to movement exercise; participants in the control group will continue with their usual cancer-related symptoms care. Both groups will receive an education booklet. The main outcome will be quality of life, measured by the Functional Assessment of Cancer Therapy - Breast (FACT-B+4); secondary, four outcomes related to pain experience (catastrophising, self-efficacy, kinesiophobia and fear-avoidance behaviors) will be also assessed. All variables will be assessed by two blinded evaluators at four timepoints. A mixed-model analyses of variance ANOVA (2 × 4) will be used to study the effects of the treatment on the dependent variables. All statistical tests will be performed considering a confidence interval of 95%. SPSS program will be used for the data analysis. This research is expected to contribute to breast cancer rehabilitation field. The proposed intervention is also expected to improve self-care skills related to chronic pain and to empower women regarding the management of their symptoms and quality of life.Clinical trial registration: https://clinicaltrials.gov/, NCT04965909.

Making new technology understandable through multimodal orientations: A digital exercise stick in customer training interaction

With a variety of smart technologies on the market, health technologies have become an increasingly everyday phenomenon. This paper focuses on customer training in the use of a new technological device, a digital mobility stick, which is an exercise stick with a built-in haptic component. It can be used as a measuring and training tool to analyze the body’s ability to balance, bend, and rotate and to guide the trajectory of one’s exercise movements. We focus on the mobility stick as a training tool, investigating how the haptic technology is introduced to the customer in instructional interaction, and what roles the technology obtains in the process. The paper uses video-recorded customer training interaction data from a health technology company. It draws on multimodal conversation analytic research on instructions and instructed actions, objects, technologies, and touch in interaction. We show that the company representative’s specific orientation to the mobility stick was consequential to the instructed actions of the customers and their learning. The analyzed cases also illustrate that the mobility stick gained different roles in the interaction, ranging from a technological and sensorial object to a technology representing information to an active participant in interaction guiding human action. The study thus contributes to our understanding of the multimodality of instructional interaction and the potentially varied roles of technology in such interaction.

Deep learning and predictive modelling for generating normalised muscle function parameters from signal images of mandibular electromyography.

Challenges arise in accessing archived signal outputs due to proprietary software limitations. There is a notable lack of exploration in open-source mandibular EMG signal conversion for continuous access and analysis, hindering tasks such as pattern recognition and predictive modelling for temporomandibular joint complex function. To Develop a workflow to extract normalised signal parameters from images of mandibular muscle EMG and identify optimal clustering methods for quantifying signal intensity and activity durations. A workflow utilising OpenCV, variational encoders and Neurokit2 generated and augmented 866 unique EMG signals from jaw movement exercises. k-means, GMM and DBSCAN were employed for normalisation and cluster-centric signal processing. The workflow was validated with data collected from 66 participants, measuring temporalis, masseter and digastric muscles. DBSCAN (0.35 to 0.54) and GMM (0.09 to 0.24) exhibited lower silhouette scores for mouth opening, anterior protrusion and lateral excursions, while K-means performed best (0.10 to 0.11) for temporalis and masseter muscles during chewing activities. The current study successfully developed a deep learning workflow capable of extracting normalised signal data from EMG images and generating quantifiable parameters for muscle activity duration and general functional intensity.