Mixed Reality

The 6-Minute Walk Test (6MWT) is a widely used field test for assessing functional exercise capacity, walking endurance, and submaximal performance related to activities of daily living. However, in conventional applications, environmental conditions, observer-related differences, and standardization issues may lead to variability in measurement outcomes. In addition, evaluating only the total walking distance may not adequately reflect clinically important changes such as performance decline and walking-related motor fatigue occurring during the test. For this reason, recent studies have recommended analyzing 6MWT data by dividing the test into minute-by-minute segments and using performance change metrics such as the Distance Walked Index (DWI). These approaches allow a more detailed evaluation of changes in walking performance throughout the test duration. With advances in measurement technologies, mixed reality (MR)-based applications have attracted attention as a means of enabling more objective, standardized, and reproducible implementation of conventional clinical tests. MR technology allows users to maintain interaction with the real environment while receiving digital guidance and feedback, thereby providing a safe and standardized assessment setting. Nevertheless, evidence regarding the validity and reliability of mixed reality-based adaptations of the 6MWT, particularly in asymptomatic adults, remains limited. The aim of this study is to evaluate the criterion validity and test-retest reliability of a mixed reality-based 6-Minute Walk Test (MR-6MWT) developed using the Meta Quest 3 and Unity platform. In addition, convergent validity will be examined by analyzing the relationships between total walking distance, minute-by-minute performance changes, fatigue effect (%), and outcomes of the 4-Meter Walk Test, Timed Up and Go Test, and knee extensor muscle strength. The findings of this study are expected to contribute to the development of a more objective, standardized, and digitally based mixed reality adaptation of the 6MWT. Furthermore, the results may provide a scientific foundation for future remote assessment and digital monitoring applications.

This study is testing whether a new mixed-reality head-mounted display (Apple Vision Pro) can help surgeons see blood vessels more clearly during lung surgery. During the operation, doctors usually need to identify and protect important blood vessels to avoid bleeding. In this study, surgeons will wear the Apple Vision Pro device, which shows 3D images of the lungs and blood vessels. This may help them find vessels more accurately and make surgery safer. Participants scheduled for lung surgery at Huai'an Second People's Hospital will be invited to join. Before the operation, participants will have a CT scan. During surgery, doctors will use the device while performing the procedure. The study does not change the standard surgical steps, and there are no extra risks for participants. The main goal is to see if this new technology makes surgery easier and safer. Participation is voluntary, and all personal information will be kept confidential.

The objective of this exploratory clinical trial is to apply Unreal Engine 5 (UE5)-based Mixed Reality (MR) technology to achieve real-time stereoscopic visualization of surgical planning, personalized free flap harvest and defect reconstruction, accurate oral cancer resection, and precise morphological and volumetric matching of the reconstructed free flap to the defect site. Researchers adopted a parallel controlled design, with participants randomized into three groups: Experimental Group 1 (undergoing Mixed Reality \[MR\] technology-assisted surgery), Experimental Group 2 (undergoing virtual surgical guide-assisted surgery), and Control Group (undergoing conventional surgery). A total of 30 participants will be recruited, with 10 cases in each group. The primary purpose is to confirm the effectiveness of MR technology in assisting oral cancer resection, free flap design, harvest, and defect reconstruction. Allocation concealment will be implemented via the sealed envelope method.

Multiple sclerosis (MS) is a demyelinating and neurodegenerative disease of the central nervous system, with common symptoms including muscle weakness, balance impairments, gait difficulties, and fatigue. These symptoms significantly affect individuals' functional mobility, independence, and quality of life. In individuals with MS, reduced lower extremity muscle strength leads to decreased walking speed and loss of balance, resulting in substantial limitations in activities of daily living. Conventional clinical assessment tools, such as the Timed Up and Go (TUG), Five-Repetition Sit-to-Stand Test (5xSTS), and the Timed 25-Foot Walk (T25FW), have been widely used for many years to evaluate functional mobility in individuals with MS. However, these tests typically rely on unidimensional measurement parameters and may demonstrate subjective variability depending on the testing environment and the examiner's experience. Advances in measurement technologies now allow these clinical tests to be transformed into more objective, standardized, and interactive assessment tools. Virtual reality (VR) provides a new perspective for the assessment of motor performance by enabling three-dimensional and interactive simulations of real-world scenarios. VR-based applications allow for the simultaneous evaluation of both motor and cognitive components while also increasing individuals' motivation and engagement. Previous studies have demonstrated that VR technology is effective in neurological rehabilitation, particularly in improving balance, walking speed, and functional mobility in the MS population. In contrast to VR, mixed reality (MR) is a technology that allows individuals to maintain interaction with the real environment while integrating virtual objects into the physical space. The existing literature reveals a notable gap in research focusing on the validity and reliability of VR or MR-based functional tests in individuals with multiple sclerosis. However, no studies to date have investigated the adaptation of lower extremity functional tests (TUG, 5xSTS, and T25FW) to a mixed reality environment. Therefore, the primary rationale of this study is to evaluate the digital applicability of commonly used functional tests in individuals with MS on the Meta Quest 3 virtual reality platform and to determine the validity and reliability of these tests. Additionally, this study aims to examine the relationships between data obtained from the virtual tests and fatigue (Modified Fatigue Impact Scale, MFIS), walking performance (12-Item Multiple Sclerosis Walking Scale: MSWS-12), and knee extensor muscle strength in order to establish the convergent validity of this novel approach. The findings of this study are expected to contribute to the development of an objective, standardized, safe, and innovative digital assessment tool for functional evaluation in individuals with multiple sclerosis. Furthermore, the results will strengthen the scientific foundation for remote monitoring of the rehabilitation process and for the development of personalized treatment programs.