(1) Background: To evaluate the clinical effects of leukocyte-rich platelet-rich plasma (LR-PRP) and hyaluronic acid (HA) injections in treating patients suffering from knee osteoarthritis (OA); (2) ...Methods: Randomized controlled trials (RCTs) were searched from PubMed, Web of Science, and Cochrane Library. Keywords were: platelet-rich plasma, LR-PRP, leukocyte-rich, hyaluronic acid, and knee osteoarthritis. The included RCTs were published between the 1st of November 2011 and the 3rd of February 2021. Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores, visual analog scale (VAS) scores, International Knee Documentation Committee (IKDC) scores, and adverse events were used as outcomes for evaluation; (3) Results: A total of 14 RCTs were enrolled. At 6 months, revealed that the LR-PRP group was better than the HA group in WOMAC total, pain, and physical function scores. At 12 months, the LR-PRP group was better than the HA group in WOMAC stiffness and physical function scores. There was no significant difference in adverse events; (4) Conclusion: LR-PRP injection showed no significant pain relief effect as compared with HA injection. However, LR-PRP demonstrated better overall outcomes as compared to HA in knee OA patients at the follow-up periods of 3, 6, and 12 months. LR-PRP injection may be recommended as a feasible option in treating patients with knee OA.
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This study proposed a novel assembled sensorized glove combining nine-axis inertial measurement units (IMUs) and force sensing resistors (FSRs) to simultaneously measure hand kinematics and fingertip ...force. The sensorized glove was designed to have high flexibility and extensibility. The accuracy and reliability of the hand kinematics measurements were verified using four-finger flexion-extension tasks. The results reveal that the mean absolute errors (MAEs) of the joint angles of fingers are all <; 5°, thus indicating that the glove can precisely measure hand kinematics. The MAE of the fingertip force prediction was 1.47 N, thus revealing that the FSRs can accurately measure the fingertip force. Moreover, comprehensive evaluation was conducted to prove that the sensorized glove can not only simultaneously measure the hand kinematics and fingertip force but also distinguish between the subjects with distinct hand functions. Therefore, the sensorized glove proposed in this study is reliable and has a strong potential for application in practical rehabilitation settings.
Abstract Objective To investigate the predictors of minimal clinically important changes on outcome measures after robot-assisted therapy (RT). Design Observational cohort study. Setting Outpatient ...rehabilitation clinics. Participants A cohort of outpatients with stroke (N=55). Interventions Patients with stroke received RT for 90 to 105min/d, 5d/wk, for 4 weeks. Main Outcome Measures Outcome measures, including the Fugl-Meyer Assessment (FMA) and Motor Activity Log (MAL), were measured before and after the intervention. Potential predictors include age, sex, side of lesion, time since stroke onset, finger extension, Box and Block Test (BBT) score, and FMA distal score. Results Statistical analysis showed that the BBT score (odds ratioOR=1.06; P =.04) was a significant predictor of clinically important changes in the FMA. Being a woman (OR=3.9; P =.05) and BBT score (OR=1.07; P =.02) were the 2 significant predictors of clinically significant changes in the MAL amount of use subscale. The BBT score was the significant predictor of an increased probability of achieving clinically important changes in the MAL quality of movement subscale (OR=1.07; P =.02). The R2 values for the 3 logistic regression models were low (.114−.272). Conclusions The results revealed that patients with stroke who had greater manual dexterity measured by the BBT appear to have a higher probability of achieving clinically significant motor and functional outcomes after RT. Further studies are needed to evaluate other potential predictors to improve the models and validate the findings.
In this paper, we proposed an upper-limb post-stroke rehabilitation system integrating a motion tracking device (MTD), a portable electroencephalogram (EEG) device for an attentional feedback, and ...interactive virtual reality (VR) game with the goal to assist patients in upper-limb rehabilitation. Fifteen post-stroke patients were recruited and randomly assigned to a control group (A) or one of two experimental groups (B and C). Group B played the game using a MTD and group C played it using a MTD and brain-computer-interface-based attention-monitoring EEG device. In group C, patients' attention was measured in real time using the EEG while the patients performed tasks; visual and auditory stimuli were emitted when their attention lowered. The primary outcome was a change in score on the upper extremity section of the Fugl-Meyer assessment, which was used to evaluate the severity of motor impairment and indicate any improvement of motor function. Improvement in motor function, associated with game performance, was found in group C. Based on their performance quality during 12 training sessions, the higher performance of group C patients in the VR game was significantly correlated with attention level and motor performance. Higher attention level is associated with higher game performance after 12 training sessions, and our MTD-EEG-VR training system may facilitate the improvement of motor function and assist patients in upper-limb rehabilitation. Our MTD-EEG-VR game with the attentional EEG-feedback device is a potential intervention for improving motor function in patients with stroke.
Capturing hand motions for hand function evaluations is essential in the medical field. Various data gloves have been developed for rehabilitation and manual dexterity assessments. This study ...proposed a modular data glove with 9-axis inertial measurement units (IMUs) to obtain static and dynamic parameters during hand function evaluation. A sensor fusion algorithm is used to calculate the range of motion of joints. The data glove is designed to have low cost, easy wearability, and high reliability. Owing to the modular design, the IMU board is independent and extensible and can be used with various microcontrollers to realize more medical applications. This design greatly enhances the stability and maintainability of the glove.
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