Ya-Ju Chang

Importance: Although augmented reality (AR) may improve functional outcomes after stroke, the added benefit of mirror therapy (MT) as a priming strategy before AR remains uncertain. A three-arm comparison of MT + AR, AR alone, and conventional therapy (CT) is needed to clarify whether MT priming provides additional benefit. Objective: To examine whether AR, with or without MT priming, improves sensorimotor function, balance, quality of life, and self-efficacy after stroke. Design: Single-blind randomized controlled trial with 3-month follow-up. Setting: Five outpatient rehabilitation clinics. Participants: Seventy-seven individuals with first-ever stroke were randomized to MT + AR ( n = 26), AR ( n = 26), or CT ( n = 25). Intervention: Participants received 90-min sessions, 3 times/week for 6 weeks. Outcome Measures: Primary outcomes were the Fugl–Meyer Assessment–Upper Extremity (FMA-UE) and Berg Balance Scale. Secondary outcomes included sensory function, arm activity/use, self-efficacy, and quality of life. Clinical significance was determined using the minimal clinically important difference (MCID). Results: The MT + AR group showed greater improvements in motor and sensory outcomes than AR and CT, with the highest portion of participants exceeding MCID among the three groups. Both MT + AR and AR demonstrated superior gains in balance, arm use, self-efficacy, and quality of life compared with CT, with a higher percentage exceeding MCID. Improvements were maintained at follow-up. Conclusions and Relevance: MT priming enhances AR effects on motor and sensory recovery. AR yields clinically meaningful improvements in function, participation, and quality of life after stroke.

Background: Spinocerebellar ataxia (SCA) is a neurodegenerative disease causing weakness and balance disorders that affected quality of life. Whole body vibration (WBV) had been reported to facilitate neuromuscular contraction in healthy people and athletes. Objective: The purpose of this study was to investigate whether four weeks of WBV training can enhance central and peripheral muscle strength and balance performances in patients with SCA. Methods: Thirteen individuals with diagnosed SCA were randomly assigned into WBV and control groups. Subjects in the training group received four weeks of WBV training at semi-squatting position for 3 sessions per week; whereas subjects in the control group performed semi-squatting position for the same duration. The maximum voluntary contraction (MVC), voluntary activation level (VA), twitch force, Berg balance scale (BBS), and one-leg standing time were evaluated before and after training. All subjects in the training group could tolerate the WBV training. Results: The MVC of soleus, the VA of plantar flexors and knee extensors, the score of BBS (p < 0.05) and one-leg standing time improved (p < .05) only in the training group. Conclusions: WBV training is a feasible rehabilitation strategy which can improve general and central origin force and balance performance in individuals with SCA.

Dual cognitive-walking treadmill training (DTT), designed to replicate real-life walking conditions, has shown promise effect in individuals with Parkinson’s disease (PD). This study aims to compare the effects of DTT versus single treadmill training (STT) on cognitive and walking performance under both single and dual task conditions, as well as on fall, patients’ subjective feeling, and quality of life. Sixteen individuals with PD were randomly assigned to DTT or STT group and underwent 8 weeks of training. The DTT group received treadmill training with cognitive loads, while the STT group received treadmill training without cognitive load. Outcome measures included gait parameters (speed, step length) and cognitive performance (reaction time, accuracy, composite score) under both single and dual task conditions. Unified Parkinson’s Disease Rating Scale-part III (UPDRS-III), Falls Efficacy Scale (FES), Patient Global Impression of Change (PGIC), and Parkinson’s Disease Questionnaire (PDQ-39) were also measured. Both DTT and STT groups showed increased comfortable walking speed and step length. Only the DTT group demonstrated significant improvements in cognitive composite score under both single and dual task conditions, as well as UPDRS-III, FES, and PDQ-39(p < 0.05). DTT can enhance cognitive function without compromising walking ability and also have real-world transferability.

Background: Parkinson’s disease (PD) is a neurogenerative disorder implicated in dysfunctions of motor functions, particularly gait and balance. Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation offered as a potential adjuvant therapy for PD. This systematic review and meta-analysis were conducted to identify whether tDCS alone and combined with additional rehabilitation therapies improve gait and balance among individuals with PD. Methods: We searched PubMed, Embase, Web of Science, and relevant databases for eligible studies from inception to December 2022. Studies with a comparative design investigating the effects of tDCS on motor functions, including gait and balance among individuals with PD, were included. A meta-analysis was performed for each outcome using a random effects model for subgroup analysis and pooling of overall effect sizes. Results: A total of 23 studies were included in the meta-analysis. The pooled results revealed that tDCS has moderate overall effects on gait, measured by gait speed (standardized mean deviation [SMD] = 0.238; 95% confidence interval [CI] − 0.026 to 0.502); stride length (SMD = 0.318; 95% CI − 0.015 to 0.652); cadence (SMD = − 0.632; 95% CI − 0.932 to − 0.333); freezing of gait questionnaire scores (SMD = − 0.360; 95% CI − 0.692 to − 0.027); step length (SMD = 0.459; 95% CI − 0.031 to 0.949); walking time (SMD = − 0.253; 95% CI − 0.758 to 0.252); stride time (SMD = − 0.785; 95% CI: − 1.680 to 0.111); double support time (SMD = 1.139; 95% CI − 0.244 to 0.523); and balance, measured by timed up and go (TUG) test (SMD = − 0.294; 95% CI − 0.516 to − 0.073), Berg balance scale (BBS) scores (SMD = 0.406; 95% CI − 0.059 to 0.87), and dynamic gait index (SMD = 0.275; 95% CI − 0.349 to 0.898). For the subgroup analysis, gait and balance demonstrated moderate effect sizes. However, only cadence, stride time, and TUG indicated a significant difference between real and sham tDCS (P = 0.027, P = 0.002, and P = 0.023, respectively), whereas cadence and BBS (P < 0.01 and P = 0.045, respectively) significantly differed after real tDCS plus other therapies rather than after sham tDCS plus other therapies. Conclusions: Our results indicated that tDCS is significantly associated with gait and balance improvements among individuals with PD. The findings of this study provide more proof supporting the effectiveness of tDCS, encouraging tDCS to be utilized alone or in combination with other therapies in clinical practice for PD rehabilitation.

Robot-assisted bilateral arm training has demonstrated its effectiveness in improving motor function in individuals post-stroke, showing significant enhancements with increased repetitions. However, prolonged training sessions may lead to both mental and muscle fatigue. We conducted two types of robot-assisted bimanual wrist exercises on 16 healthy adults, separated by one week: long-duration, low-resistance workouts and short-duration, high-resistance exercises. Various measures, including surface electromyograms, near-infrared spectroscopy, heart rate, and the Borg Rating of Perceived Exertion scale, were employed to assess fatigue levels and the impacts of exercise intensity. High-resistance exercise resulted in a more pronounced decline in electromyogram median frequency and recruited a greater amount of hemoglobin, indicating increased muscle fatigue and a higher metabolic demand to cope with the intensified workload. Additionally, high-resistance exercise led to increased sympathetic activation and a greater sense of exertion. Conversely, engaging in low-resistance exercises proved beneficial for reducing post-exercise muscle stiffness and enhancing muscle elasticity. Choosing a low-resistance setting for robot-assisted wrist movements offers advantages by alleviating mental and physiological loads. The reduced training intensity can be further optimized by enabling extended exercise periods while maintaining an approximate dosage compared to high-resistance exercises.

Gait disorders are a fundamental challenge in Parkinson’s disease (PD). The use of laser-light visual cues emitted from shoes has demonstrated effective in improving freezing of gait within less restrictive environments. However, the effectiveness of shoes-based laser-light cueing may vary among individuals with PD who have different types of impairments. We introduced an innovative laser-light visual shoes system capable of producing alternating visual cues for the left and right feet through one-side cueing at a time, while simultaneously recording foot inertial data and foot pressures. The effects of this visual cueing system on gait patterns were assessed in individuals with PD, both those with well-gait and those with worse-gait. Our device successfully quantified gait characteristics, including the asymmetry in the center of pressure trajectory, in individuals with PD. Furthermore, visual cueing prolonged stride times and increased the percentage of stance phase, while concurrently reducing stride length in PD individuals with well-gait. Conversely, in PD individuals with worse-gait, visual cueing resulted in a decreased freeze index and a reduction in the proportion of intervals prone to freezing episodes. The effects of visual cueing varied between PD individuals with well-gait and those with worse-gait. Visual cueing slowed down gait in the well-gait group while it appeared to mitigate freezing episodes in worse-gait group. Future researches, including enhancements to extend the projection distance of visual cues and clinical assessments conducted in real-world settings, will help establish the clinical utility of our proposed visual cueing system.

An information compensation method to reduce motion sickness caused by reading information on the transparent window display has been studied and proposed. In this research, Visual Analogue Scale (VAS), Center of Pressure(CoP), Simulator sickness questionnaire (SSQ) and Heart Rate Variability (HRV) were conducted and the data analysis revealed that the information compensation based on the degree of vehicle vibration improved the comfort of reading the text information for passengers.

To safely walk in a community environment requires dual cognitive–walking ambulation ability for people with Parkinson’s disease (PD). A past study showed inconsistent results on cognitive–walking performance for PD patients, possibly due to the various cognitive tasks used and task priority assignment. This study designed cognitive–walking tests that used executive-related cognitive tasks to evaluate patients with early-stage Parkinson’s disease who did not have obvious cognitive deficits. The effect of assigning task prioritization was also evaluated. Sixteen individuals with PD (PD group) and 16 individuals without PD (control group) underwent single cognitive tests, single walking tests, dual walking tests, and prioritizing task tests. Three types of cognitive, spatial memory, Stroops, and calculation tasks were employed. The cognitive performance was evaluated by response time, accuracy, and speed–accuracy trade off composite score. The walking performance was evaluated by the temporal spatial gait characteristics and variation in gait. The results showed that the walking performance of the PD group was significantly worse than the control group in both single and dual walking conditions. The group difference in cognitive performance was shown in composite score under the dual calculation walking task but not under the single task. While assigning priority to walking, no group difference in walking was observed but the response accuracy rate of PD groups declined. This study concluded that the dual task walking test could sharpen the cognitive deficits for early-stage PD patients. The task priority assignment might not be recommended while testing gait deficits since it decreased the ability to discriminate group differences.

Fall detection and physical activity (PA) classification are important health maintenance issues for the elderly and people with mobility dysfunctions. The literature review showed that most studies concerning fall detection and PA classification addressed these issues individually, and many were based on inertial sensing from the trunk and upper extremities. While shoes are common footwear in daily off-bed activities, most of the aforementioned studies did not focus much on shoe-based measurements. In this paper, we propose a novel footwear approach to detect falls and classify various types of PAs based on a convolutional neural network and recurrent neural network hybrid. The footwear-based detections using deep-learning technology were demonstrated to be efficient based on the data collected from 32 participants, each performing simulated falls and various types of PAs: fall detection with inertial measures had a higher F1-score than detection using foot pressures; the detections of dynamic PAs (jump, jog, walks) had higher F1-scores while using inertial measures, whereas the detections of static PAs (sit, stand) had higher F1-scores while using foot pressures; the combination of foot pressures and inertial measures was most efficient in detecting fall, static, and dynamic PAs.