Background and Purpose: The Fugl-Meyer Assessment of Motor Performance and Sensory Assessment Scale (FMA) is the most commonly used and recommended outcome measure for the sensorimotor impairment of the upper and lower limbs in stroke patients. The aim of this study was to perform cross-cultural translation and adaptation of the scale into Polish and to evaluate the FMA\'s reliability of motor performance and sensation of the upper and lower limb sections among ischemic stroke patients. Methods: The Polish version of the FMA (FMA-PL) was developed using a forward-backward translation performed by a group of experts and then evaluated by a panel of judges according to international guidelines. The study involved 86 patients (F = 30, M = 56, i.e., 35%; the average age of patients was 64 ± 12 years, 36 with right-sided stroke and 50 with left-sided stroke). The FMA-PL was carried out twice by two experienced neurological physiotherapists with a 2 h gap between assessments (test-retest and inter-rater). The reliability of the outcome measure was defined by calculating the intraclass correlation coefficient (ICC). The standard error of measurement (SEM) and the minimum detectable change (MDC) were also calculated. The internal consistency of the test was determined by the Cronbach\'s alpha indicator. Results: Three domains were evaluated on the FMA-PL scale. From the whole test, results were obtained in the range of 12-124 points: 64 points for FMA-UE-PL 2, 34 points for FMA-LE-PL 4, and 24 points for FMA-S-PL 0. The ICC values were in the range of 0.99-1.00 for the total FMA-PL score and the results of each domain. The SEM and MDC for the entire FMA-PL calculated for test-retest measurements were 0.22 and 1.60, respectively. The SEM and MDC for the total FMA-PL score obtained during repeated measurements of the same investigator were 1.3 and 3.5 points, respectively. The Cronbach\'s alpha values calculated for the total FMA-PL, FMA-UE-PL, FMA-LE-PL, and FMA-S-PL items amounted to 0.938-0.939, 0.932-0.934, and 0.634-0.722, respectively. Conclusions: The Polish version of the FMA is a consistent and reliable outcome measure for the motor and sensory evaluation of the upper and lower limbs for patients in subacute and chronic stroke stages.

UNASSIGNED: The study aims to assess the efficacy of robot-assisted rehabilitation training on upper and lower limb motor function and fatigue in Parkinson\'s disease (PD), and to explore the best-acting robotic rehabilitation program.
UNASSIGNED: We searched studies in seven databases and the search period was from the build to 30 June 2023. Two researchers independently screened studies and assessed the quality of the studies for data extraction.
UNASSIGNED: A total of 21 studies were included, 18 studies related to lower limbs rehabilitation and 3 studies related to upper limbs rehabilitation, involving a total of 787 participants. The results showed that robot-assisted rehabilitation significantly improved indicators of lower limb motor function UPDRS Part III (WMD = -3.58, 95% CI = -5.91 to -1.25, p = 0.003) and BBS (WMD = 4.24, 95% CI = 2.88 to 5.54, p < 0.001), as well as non-motor symptoms of fatigue (WMD = -13.39, 95% CI = -17.92 to -8.86, p < 0.001) in PD patients. At the level of upper limb function, there was no statistically significant difference in the outcome measures of PFS (WMD = -0.25, 95% CI = -4.44 to 3.93, p = 0.9) and BBT (WMD = 1.73, 95% CI = -2.85 to 6.33, p = 0.458).
UNASSIGNED: Robot-assisted rehabilitation significantly improved motor function, fatigue, and balance confidence in PD patients, but current evidence doesn\'t show that intelligent rehabilitation systems improve upper limb function. In particular, robotics combined with virtual reality worked best.
Robot-assisted rehabilitation significantly improves motor symptoms, lower limb motor function, fatigue, and balance confidence in Parkinson’s disease (PD) patients.Robotics combined with virtual reality is the most effective application and should be encouraged.In the robotic rehabilitation of PD patients, the focus needs to be on the duration of the training and the long-term benefits it provides.

UNASSIGNED: Stroke is the leading cause of long-term disability in developed countries. Due to population aging, the number of people requiring rehabilitation after stroke is going to rise in the coming decades. Robot-mediated neurorehabilitation has the potential to improve clinical outcomes of rehabilitation treatments. A statistical analysis of the literature aims to focus on the main trend of this topic.
UNASSIGNED: A bibliometric survey on post-stroke robotic rehabilitation was performed through a database collection of scientific publications in the field of rehabilitation robotics. By covering the last 20 years, 17,429 sources were collected. Relevant patterns and statistics concerning the main research areas were analyzed. Leading journals and conferences which publish and disseminate knowledge in the field were identified. A detailed nomenclature study was carried out. The time trends of the research field were captured. Opinions and predictions of future trends that are expected to shape the near future of the field were discussed.
UNASSIGNED: Data analysis reveals the continuous expansion of the research field over the last two decades, which is expected to rise considerably in near future. More attention will be paid to the lower limbs rehabilitation and disease/design specific applications in early-stage patients.