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1.
Games Health J ; 2024 May 17.
Article in English | MEDLINE | ID: mdl-38757664

ABSTRACT

Objective: This research evaluates from a usability point of view the combination of a developed fully immersive virtual reality (VR) solution with the SWalker robotic device. It aims to contribute to research in the exploration of immersive experiences overground with a functional gait recovery device. Materials and Methods: We evaluated the system in a pilot study with 20 healthy participants aged 85.1 (SD: 6.29). Participants used the SWalker-VR platform while testing one VR application focused on walking and the other on balance practice. Afterward, the participants answered three usability questionnaires. Results: The platform was validated in terms of safety using the Simulator Sickness Questionnaire, obtaining less than 20 points for all subscales: nausea (4.29 ± 14.47), oculomotor (0.38 ± 14.18), and disorientation (1.39 ± 14.52). For usability evaluation, the System Usability Scale provided an overall score of 70.63 ± 11.64, and the Post-Study System Usability Questionnaire (PSSUQ) rated 1.61 ± 0.54. The usability scores reported by both questionnaires were moderate and good, respectively. These results were similar in overall scores for both groups: participants with low cognitive level and participants with high cognitive level. Finally, the possible causes for the "no answered" responses on the PSSUQ were discussed. Conclusion: It is concluded that the SWalker-VR platform is reported to have adequate usability and high security by older adults. The potential interest of studying the effects of the long-term use of this platform by older adults with gait impairment is expressed. Clinical Trials reference: NCT06025981.

2.
PeerJ ; 11: e15095, 2023.
Article in English | MEDLINE | ID: mdl-37013145

ABSTRACT

The rehabilitation of children with motor disorders is mainly focused on physical interventions. Numerous studies have demonstrated the benefits of upper function using robotic exoskeletons. However, there is still a gap between research and clinical practice, owing to the cost and complexity of these devices. This study presents a proof of concept of a 3D-printed exoskeleton for the upper limb, following a design that replicates the main characteristics of other effective exoskeletons described in the literature. 3D printing enables rapid prototyping, low cost, and easy adjustment to the patient anthropometry. The 3D-printed exoskeleton, called POWERUP, assists the user's movement by reducing the effect of gravity, thereby allowing them to perform upper limb exercises. To validate the design, this study performed an electromyography-based assessment of the assistive performance of POWERUP, focusing on the muscular response of both the biceps and triceps during elbow flexion-extension movements in 11 healthy children. The Muscle Activity Distribution (MAD) is the proposed metric for the assessment. The results show that (1) the exoskeleton correctly assists elbow flexion, and (2) the proposed metric easily identifies the exoskeleton configuration: statistically significant differences (p-value = 2.26 ⋅ 10-7 < 0.001) and a large effect size (Cohen's d = 3.78 > 0.8) in the mean MAD value were identified for both the biceps and triceps when comparing the transparent mode (no assistance provided) with the assistive mode (anti-gravity effect). Therefore, this metric was proposed as a method for assessing the assistive performance of exoskeletons. Further research is required to determine its usefulness for both the evaluation of selective motor control (SMC) and the impact of robot-assisted therapies.


Subject(s)
Exoskeleton Device , Motor Disorders , Humans , Child , Electromyography , Upper Extremity/physiology , Printing, Three-Dimensional
3.
Article in English | MEDLINE | ID: mdl-35580104

ABSTRACT

Hip fracture is one of the most common traumatisms associated with falls in the elderly, severely affecting the patient's mobility and independence. In recent years, the use of robotic technology has proven to be effective in gait rehabilitation, especially for neurological disorders. However, there is a lack of research validating these devices for hip fracture in elderly patients. This paper presents the design and evaluation of a novel assistive platform for hip rehabilitation, SWalker, aimed at improving the rehabilitation of this condition. Functional validation of the SWalker platform was carried out with five healthy elderly subjects and two physiotherapists. Clinical validation was conducted with 34 patients with hip fracture. The control group ( [Formula: see text], age = 86.38±6.16 years, 75% female) followed conventional therapy, while the intervention group ( [Formula: see text], age = 86.80±6.32 years, 90% female) was rehabilitated using SWalker. The functional validation of the device reported good acceptability (System Usability Scale >85). In the clinical validation, the control group required 68.09±27.38 rehabilitation sessions compared to 22.60±16.75 in the intervention group ( [Formula: see text]). Patients in the control group needed 120.33±53.64 days to reach ambulation, while patients rehabilitated with SWalker achieved that stage in 67.11±51.07 days ( [Formula: see text]). FAC and Tinetti indexes presented a larger improvement in the intervention group when compared with the control group ( [Formula: see text] and [Formula: see text], respectively). The SWalker platform can be considered an effective tool to enhance autonomous gait and shorten rehabilitation therapy in elderly hip fracture patients. This result encourages further research on robotic rehabilitation platforms for hip fracture.


Subject(s)
Hip Fractures , Accidental Falls , Aged , Aged, 80 and over , Female , Gait , Hip Fractures/rehabilitation , Humans , Male , Walking
4.
Sensors (Basel) ; 21(11)2021 May 31.
Article in English | MEDLINE | ID: mdl-34073142

ABSTRACT

This study evaluates and compares the suitability for child-computer interaction (CCI, the branch within human-computer interaction focused on interactive computer systems for children) of two devices: a standard computer mouse and the ENLAZA interface, a head mouse that measures the user's head posture using an inertial sensor. A multidirectional pointing task was used to assess the motor performance and the users' ability to learn such a task. The evaluation was based on the interpretation of the metrics derived from Fitts' law. Ten children aged between 6 and 8 participated in this study. Participants performed a series of pre- and post-training tests for both input devices. After the experiments, data were analyzed and statistically compared. The results show that Fitts' law can be used to detect changes in the learning process and assess the level of psychomotor development (by comparing the performance of adults and children). In addition, meaningful differences between the fine motor control (hand) and the gross motor control (head) were found by comparing the results of the interaction using the two devices. These findings suggest that Fitts' law metrics offer a reliable and objective way of measuring the progress of physical training or therapy.


Subject(s)
Movement , Psychomotor Performance , Computers , Hand , Posture
5.
PeerJ ; 8: e9687, 2020.
Article in English | MEDLINE | ID: mdl-32864213

ABSTRACT

BACKGROUND: Elbow and wrist chronic conditions are very common among musculoskeletal problems. These painful conditions affect muscle function, which ultimately leads to a decrease in the joint's Range Of Motion (ROM). Due to their portability and ease of use, goniometers are still the most widespread tool for measuring ROM. Inertial sensors are emerging as a digital, low-cost and accurate alternative. However, whereas inertial sensors are commonly used in research studies, due to the lack of information about their validity and reliability, they are not widely used in the clinical practice. The goal of this study is to assess the validity and intra-inter-rater reliability of inertial sensors for measuring active ROM of the elbow and wrist. MATERIALS AND METHODS: Measures were taken simultaneously with inertial sensors (Werium™ system) and a universal goniometer. The process involved two physiotherapists ("rater A" and "rater B") and an engineer responsible for the technical issues. Twenty-nine asymptomatic subjects were assessed individually in two sessions separated by 48 h. The procedure was repeated by rater A followed by rater B with random order. Three repetitions of each active movement (elbow flexion, pronation, and supination; and wrist flexion, extension, radial deviation and ulnar deviation) were executed starting from the neutral position until the ROM end-feel; that is, until ROM reached its maximum due to be stopped by the anatomy. The coefficient of determination (r 2) and the Intraclass Correlation Coefficient (ICC) were calculated to assess the intra-rater and inter-rater reliability. The Standard Error of the Measurement and the Minimum Detectable Change and a Bland-Altman plots were also calculated. RESULTS: Similar ROM values when measured with both instruments were obtained for the elbow (maximum difference of 3° for all the movements) and wrist (maximum difference of 1° for all the movements). These values were within the normal range when compared to literature studies. The concurrent validity analysis for all the movements yielded ICC values ≥0.78 for the elbow and ≥0.95 for the wrist. Concerning reliability, the ICC values denoted a high reliability of inertial sensors for all the different movements. In the case of the elbow, intra-rater and inter-rater reliability ICC values range from 0.83 to 0.96 and from 0.94 to 0.97, respectively. Intra-rater analysis of the wrist yielded ICC values between 0.81 and 0.93, while the ICC values for the inter-rater analysis range from 0.93 to 0.99. CONCLUSIONS: Inertial sensors are a valid and reliable tool for measuring elbow and wrist active ROM. Particularly noteworthy is their high inter-rater reliability, often questioned in measurement tools. The lowest reliability is observed in elbow prono-supination, probably due to skin artifacts. Based on these results and their advantages, inertial sensors can be considered a valid assessment tool for wrist and elbow ROM.

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