Soft pneumatic gloves are a promising tool for assisting stroke patients with hand dysfunction in their rehabilitation and daily activities. However, current gloves have limited extension force output. This article presents a hybrid actuator that combines a silicone flexion actuator with an extension actuator made from shape memory alloy (SMA) springs. The Critical parameters and material of the soft actuator were optimized using a finite element model. Additionally, the SMA spring actuator was equipped with a water-cooling structure to reduce temperature and increase response speed by 55.8%. The hybrid actuator generated an obstructed tip force of 16.02 N at 200 kPa pressure and an extension force of 8.675 N. The hybrid actuator was integrated with the water-cooling structure into a soft glove and evaluated in trials involving eight stroke patients. With the assistance of the glove, the bending angles of the stroke patients’ index fingers, including the PIP and MCP joints, significantly improved, increasing from 6.8 ± 2.8∘ and 11.3 ± 4.6∘ to 68.3 ± 5.3∘ and 68.1 ± 5.5∘, respectively. Furthermore, the glove also increased the maximum friction with a 50-mm cylinder from 8.4 ± 3.5 N to 21.34 ± 5.8 N.
7 August 2023 in IEEE Transactions on Neural Systems and Rehabilitation Engineering
Fabric-based pneumatic actuators (FPAs) are extensively employed in the design of lightweight and compliant soft wearable assistive gloves. However, conventional FPAs typically exhibit limited output force, thereby restricting the applications of such gloves. This paper presents the development of a novel honeycomb pneumatic actuator (HPA) constructed using flexible thermoplastic polyurethane (TPU) coating through hot pressing or ultrasonic welding techniques. Compared to the previously utilized double-layer fabric-based pneumatic actuators (DLF-PAs), the HPAs yields a remarkable 862% increase in end output force. It can produce a tip force of 13.57 N at a pressure of 150 kPa. The integration of HPAs onto a soft pneumatic glove enables the facilitation of various activities of daily living. A series of trials involving nine patients were conducted to assess the effectiveness of the soft glove. The experimental results indicate that when assisted by the glove, the patients’ finger metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joints achieved angles of 87.67 ± 19.27° and 64.2 ± 30.66°, respectively. Additionally, the average fingertip force reached 10.16 ± 4.24 N, the average grip force reached 26.04 ± 15.08 N, and the completion rate of daily functions for the patients increased from 39% to 76%. These outcomes demonstrate that the soft glove effectively aids in finger movements and significantly enhances the patients’ daily functioning.
13 January 2017 in International Journal of Social Robotics
Abnormalities in haemostasis are often detected in patients with multiple myeloma and the fundamental factors that lead to these abnormities are worthy of exploration. The objective of this study was to investigate bleeding diathesis and coagulopathy in different multiple myeloma types or stages and assess how paraprotein concentration contributes to differences in these conditions. Haemostasis screening tests and serum monoclonal protein (M protein) concentration were retrospectively analysed in 101 patients newly diagnosed with multiple myeloma from January 2012 to April 2014. No significant differences were found between bleeding diathesis and types or International Staging System (ISS) stages of multiple myeloma; however, prolonged thrombin time (TT) was found in most of patients (77.7%) and was positively related to light-chain concentration (P ≤ 0.01). Prolonged prothrombin time (PT) was more obvious in IgA and IgG-type multiple myeloma than in the light-chain type (P ≤ 0.01). With increased clinical staging, PT remarkably increased (P ≤ 0.01). M protein concentration was significantly higher in patients with prolonged PT than in those with normal PT (P ≤ 0.01). The D-dimer mean was significantly higher than normal (>0.5 μg/ml) (P ≤ 0.01). Fibrinogen was negatively related to M protein levels (P ≤ 0.01); however, there was no correlation between activated partial thromboplastin time (APTT) and multiple myeloma stages or types, M protein levels and serum light-chain concentration (P ≥ 0.05). Patients with light-chain type multiple myeloma were more likely to have prolonged TT than patients with other types. M protein levels had an obvious effect on PT. Prolonged PT was more common in IgA and IgG-type multiple myeloma. Abnormal haemostasis test results are not always accompanied by clinically apparent haemostatic complications.
To determine reference intervals for serum levels of human epididymis protein 4 (HE4) in Chinese women. In this multicenter (n = 9) study, 618 healthy women, 767 patients with non-malignant diseases, and 951 patients with malignant tumors were enrolled. Serum levels of HE4 were measured in all patients using electrochemiluminescence immunoassays. The influence of age, menopause, malignancy status and other characteristics on the levels of HE4 was evaluated using univariate and multivariate analyses. Confidence intervals (2.5–97.5 %) were determined in different populations. There were significant differences in HE4 levels among groups with different ages, menopause or malignancy status. Higher levels of HE4 were detected in elder compared to younger, post- compare to pre- menopause and malignant compared to benign subjects. Multivariate analysis showed that menopause and malignancy status, as well as smoking and pelvic masses were independent factors involved in serum HE4 levels. In pre-menopause stage, the reference ranges of HE4 level were 29.30–68.79, 28.12–1284.83 and 34.75–981.91 pmol/L in healthy, benign and malignant populations, respectively. In post-menopause stage, the reference ranges are 35.96–114.43, 39.11–2208.70 and 39.40–1678.13 pmol/L for those populations. The present study has established the reference intervals of HE4 levels in pre- and post-menopause populations with different malignancy status.
In order to improve the convenience and practicability of home rehabilitation training for post-stroke patients, this paper presents a cloud-based upper limb rehabilitation system based on motion tracking. A 3-dimensional reachable workspace virtual game (3D-RWVG) was developed to achieve meaningful home rehabilitation training. Five movements were selected as the criteria for rehabilitation assessment. Analysis was undertaken of the upper limb performance parameters: relative surface area (RSA), mean velocity (MV), logarithm of dimensionless jerk (LJ) and logarithm of curvature (LC). A two-headed convolutional neural network (TCNN) model was established for the assessment. The experiment was carried out in the hospital. The results show that the RSA, MV, LC and LJ could reflect the upper limb motor function intuitively from the graphs. The accuracy of the TCNN models is 92.6%, 80%, 89.5%, 85.1% and 87.5%, respectively. A therapist could check patient training and assessment information through the cloud database and make a diagnosis. The system can realize home rehabilitation training and assessment without the supervision of a therapist, and has the potential to become an effective home rehabilitation system.