Effectiveness of Different Cervical Range of Motion Measurement Techniques for Home-Use to Prevent Cervical Spondylosis.

Cervical spondylosis is a non-specific degenerative of cervical spine which results in spinal canal and nerve root foramen stenosis. The stenosis of the canals results in injury of spinal cord and nerve root. The nerve root compression causes a various symptom, such as referred pain and numbness in neck and upper extremities. Motion sensors allow for the tracking and observation of cervical movement activities with the purpose of preventing cervical spondylosis. In the proposed study, Inertia Measurement Unit (IMU) sensors and comparative 2- Dimensional Motion Capture (2D-MC) system were considered to determine the effective of cervical range of motion in various environments. The results indicated that both methods provided strong correlations of craniovertebral angles, with the IMU sensors showing a higher correlation coefficient than the 2D-MC system. Therefore, the craniovertebral angles from IMU sensors were utilized to identify the safety and warning zones of neck movements.Clinical Relevance- The degenerative of the cervical spine results in different degrees of severity in cervical spondylosis. To prevent further deterioration, it is recommended to adopt lifestyle changes, especially neck movement changes, that reduce the spinal cord or nerve root compression. An innovation that can detect harmful neck movements in real-time can provide feedback to users on whether they are moving their head into dangerous angles. By training regularly with this innovation, individuals can delay the onset and severity of cervical spondylosis symptoms and make adjustments to their lifestyles to prevent recurrence of the condition in the future.

Integration of force and IMU sensors for developing low-cost portable gait measurement system in lower extremities.

Gait analysis is the method to accumulate walking data. It is useful in diagnosing diseases, follow-up of symptoms, and rehabilitation post-treatment. Several techniques have been developed to assess human gait. In the laboratory, gait parameters are analyzed by using a camera capture and a force plate. However, there are several limitations, such as high operating costs, the need for a laboratory and a specialist to operate the system, and long preparation time. This paper presents the development of a low-cost portable gait measurement system by using the integration of flexible force sensors and IMU sensors in outdoor applications for early detection of abnormal gait in daily living. The developed device is designed to measure ground reaction force, acceleration, angular velocity, and joint angles of the lower extremities. The commercialized device, including the motion capture system (Motive-OptiTrack) and force platform (MatScan), is used as the reference system to validate the performance of the developed system. The results of the system show that it has high accuracy in measuring gait parameters such as ground reaction force and joint angles in lower limbs. The developed device has a strong correlation coefficient compared with the commercialized system. The percent error of the motion sensor is below 8%, and the force sensor is lower than 3%. The low-cost portable device with a user interface was successfully developed to measure gait parameters for non-laboratory applications to support healthcare applications.

Correlational study of the center of pressure measures of postural steadiness on five different standing tasks in overweight adults.

This study applied the posturography framework on five static standing tasks from the Berg Balance Scale (BBS). Thirteen participants were recruited and the trajectory data of the center of pressure (CoP) were collected. To analyze the postural performance, two approaches were taken: the scores from the BBS and statistical analysis. For the statistical analysis, Spearman's method was applied to determine the correlation of CoP parameters. The results revealed the correlations between CoP parameters in the anterior-posterior (AP) and medial-lateral (ML) directions, and on the statokinesgram (SK) plane for all tasks. To obtain the in-depth detail between normal weight and overweight groups, the differences in the postural control mechanism were defined by correlations of CoP parameters. The Mann-Whitney U test was conducted to define the difference in postural control in terms of difference in weight gain and standing task factors, while Cohen's d was used to investigate the influence of the difference in standing tasks and weight gain on postural control. The results showed that the correlations of CoP parameters could distinguish the balance impairment in the overweight condition from the normal postural control. Otherwise, the scores of BBS, the Mann-Whitney U test and Cohen's d did not separate this slightly compensatory movement during equilibrium. Therefore, the correlations of CoP parameters could provide more information to analyze the balance function in each individual, especially in terms of slight compensation.

The effect of virtual reality-based balance training on motor learning and postural control in healthy adults: a randomized preliminary study.

BACKGROUND: Adults with sedentary lifestyles seem to face a higher risk of falling in their later years. Several causes, such as impairment of strength, coordination, and cognitive function, influence worsening health conditions, including balancing ability. Many modalities can be applied to improve the balance function and prevent falling. Several studies have also recorded the effects of balance training in elderly adults for fall prevention. Accordingly, the aim of this study is to define the effect of virtual reality-based balance training on motor learning and postural control abilities in healthy adults. METHODS: For this study, ten subjects were randomly allocated into either the conventional exercise (CON) or the virtual reality (VR) group. The CON group underwent physical balance training, while the VR group used the virtual reality system 4 weeks. In the VR group, the scores from three game modes were utilized to describe the effect of motor learning and define the learning curves that were derived with the power law function. Wilcoxon Signed Ranks Test was performed to analyze the postural control in five standing tasks, and data were collected with the help of a force plate. RESULTS: The average score was used to describe the effect of motor learning by deriving the mathematical models for determining the learning curve. Additionally, the models were classified into two exponential functions that relied on the aim and requirement skills. A negative exponential function was observed in the game mode, which requires the cognitive-motor function. In contrast, a positive exponential function was found in the game with use of only the motor skill. Moreover, this curve and its model were also used to describe the effect of learning in the long term and the ratio of difficulty in each game. In the balance performance, there was a significant decrease in the center of pressure parameters in the VR group, while in the CON group, there was a significant increase in the parameters during some foot placements, especially in the medio-lateral direction. CONCLUSION: The proposed VR-based training relies on the effect of motor learning in long-term training though different kinds of task training. In postural analysis, both exercise programs are emphasized to improve the balance ability in healthy adults. However, the virtual reality system can promote better outcomes to improve postural control post exercising. Trial registration Retrospectively registered on 25 April 2018. Trial number TCTR20180430005.