National Research Center for Rehabilitation Technical Aids

Beijing, China

National Research Center for Rehabilitation Technical Aids

Beijing, China
Time filter
Source Type

Wang L.,Beihang University | Wang L.,National Research Center for Rehabilitation Technical Aids | Zhou G.,Beihang University | Liu H.,Beihang University | And 4 more authors.
Nanoscale | Year: 2012

While the advantages of nanomaterials are being increasingly recognized, their potential toxicity is drawing more and more attention and concern. In this study, we explore the toxicity mechanism of 20-30 nm rod-shaped hydroxyapatite (HA) nanoparticles in vitro and in vivo. The nanoparticles were prepared by precipitation and characterized by IR, XRD and TEM. Concentrations of 0 μg mL -1, 10 μg mL -1, 100 μg mL -1, 1 mg mL -1, and 10 mg mL -1 were applied to the MC3T3-E1 cells for viability (MTT-test). Based on the characteristic differences of the two methods of cell death, the morphological features of the MC3T3-E1 cell line co-cultured with nano-hydroxyapatite (n-HA) (10 mg mL -1) for 24 h were also observed by TEM. Furthermore, important serum biochemical markers and histopathological examinations were used to evaluate the potential toxicological effect of n-HA on the major organs of SD rats injected intraperitoneally with n-HA (33.3 mg kg -1 body weight). In the results, we found cell growth inhibition and apoptosis in MC3T3-E1 cells co-cultured with n-HA. Moreover, apoptosis but not necrosis was illustrated in liver and renal tissue by using histopathology slices and serum biochemical markers. It suggests that apoptosis may be the possible mechanism of n-HA toxicity and provides a better understanding of the biocompatibility of nanomaterials applied in human bone repair. © 2012 The Royal Society of Chemistry.

Zhang M.,Hong Kong Polytechnic University | Fan Y.-B.,Beihang University | Wang X.-T.,National Research Center for Rehabilitation Technical Aids
Yiyong Shengwu Lixue/Journal of Medical Biomechanics | Year: 2011

Rehabilitation engineering can not only improve life quality of the elder and people with disability, but also reduce burdens of the society and family for care at the same time. With the development of economy and improvement of life quality, rehabilitation engineering will be raised to a new level. Biomechanics provides fundamental basis for the design and assembly of rehabilitation products. As the main reason for rehabilitation is to maximally restore the lost function of body support and exercise, it is important to understand the force transmission and interaction between the body and supporting device. Through biomechanical research, optimized assistive technology for rehabilitation and training program can be designed. This paper will review the major focus on biomechanics research in rehabilitation engineering, including body support interfacial biomechanics, musculoskeletal kinematics and kinetics, finding appropriate control signals, and developing advanced materials, so as to provide theoretical basis for the development of rehabilitation products.

Gong S.,Hebei University of Technology | Yang P.,Hebei University of Technology | Song L.,National Research Center for Rehabilitation Technical Aids
Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010 | Year: 2010

A controller for a intelligent prosthetic knee which consists of four bar linkage mechanism with fixed pneumatic cylinder is presented. To detect human motion parameters, local sensor of goniometer and hall sensor are adopted. To obtain a displacement of the conical valve correspond to current speed, a knowledge base is established by ILC(Iterative Learning Control) algorithm. To validate the effects of the trans-femoral prosthesis controller, preliminary experiment is conducted. The results indicate that amputee can walk with a increased level of biological realism. © 2010 IEEE.

PubMed | National Research Center for Rehabilitation Technical Aids, Hong Kong Polytechnic University and Shandong University
Type: Journal Article | Journal: PloS one | Year: 2017

To reveal the physiological mechanism of the decline in cognitive function after sleep deprivation, a within-subject study was performed to assess sleep deprivation effects on phase synchronization, as revealed by wavelet phase coherence (WPCO) analysis of prefrontal tissue oxyhemoglobin signals.Twenty subjects (10 male and 10 female, 25.5 3.5 years old) were recruited to participate in two tests: one without sleep deprivation (group A) and the other with 24 h of sleep deprivation (group B). Before the test, each subject underwent a subjective evaluation using visual analog scales. A cognitive task was performed by judging three random numbers. Continuous recordings of the near-infrared spectroscopy (NIRS) signals were obtained from both the left and right prefrontal lobes during rest, task, and post-task periods. The WPCO of cerebral Delta [HbO2] signals were analyzed for these three periods for both groups A and B.Six frequency intervals were defined: I: 0.6-2 Hz (cardiac activity), II: 0.145-0.6 Hz (respiratory activity), III: 0.052-0.145 Hz (myogenic activity), IV: 0.021-0.052 Hz (neurogenic activity), V: 0.0095-0.021 Hz (nitric oxide related endothelial activity) and VI: 0.005-0.0095 Hz (non-nitric oxide related endothelial activity). WPCO in intervals III (F = 5.955, p = 0.02) and V (F = 4.7, p = 0.037) was significantly lower in group B than in group A at rest. During the task period, WPCO in intervals III (F = 5.175, p = 0.029) and IV (F = 4.585, p = 0.039) was significantly lower in group B compared with group A. In the post-task recovery period, the WPCO in interval III (F = 6.125, p = 0.02) was significantly lower in group B compared with group A. Reaction time was significantly prolonged, and the accuracy rate and F1 score both declined after sleep deprivation.The decline in WPCO after sleep deprivation indicates reduced phase synchronization between left and right prefrontal oxyhemoglobin oscillations, which may contribute to the diminished cognitive function.

Li J.,National Research Center for Rehabilitation Technical Aids | Zhang X.-F.,National Research Center for Rehabilitation Technical Aids | Pan G.-X.,National Research Center for Rehabilitation Technical Aids
Yiyong Shengwu Lixue/Journal of Medical Biomechanics | Year: 2012

Objective: To improve the clinical application of body weight support treadmill training (BWSTT) robot and develop a practical way for promoting the rehabilitation robot, this paper proposes a design plan of lower limb robot with flexible structure, simple operation, and strong practicality in allusion to the weak clinical applicability of traditional BWSTT robot. Methods: Based on methods of modular design and intensive design, the whole body of the robot was divided into several functional modules including wearable exoskeleton, weight loss training device, adaptive treadmill and suspension vest from the view of ergonomics, rehabilitation medicine, and mechanical design and so on. Meanwhile, an optimization analysis design was made for key parts of the robot through theoretical calculation and SolidWorks simulation. Results: After the concrete manufacturing and clinical experiments, the feasibility and scientificity of the BWSTT robot design was validated. Conclusions: This clinical application design can improve the practical application of BWSTT robot and also provide a reference for the wider use of the lower limb rehabilitation robot.

Chen X.,Huazhong University of Science and Technology | Huang J.,Huazhong University of Science and Technology | Wang Y.,Huazhong University of Science and Technology | Tao C.,National Research Center for Rehabilitation Technical Aids
Proceedings of 2012 International Conference on Modelling, Identification and Control, ICMIC 2012 | Year: 2012

A Dynamic Time Warping (DTW) based voice recognition approach and its template training problem are discussed in this paper. In order to achieve better recognition accuracies, we proposed two kinds of incremental feedback learning methods for DTW-based voice recognition, including the variable gain coefficient (VGC) based method and the time warping average (TWA) based method. Compared with the non-feedback recognition system, the proposed methods are easy to implement and more robust to noise. A number of comparison experiments are performed to demonstrate the effectiveness of the proposed method. It is also shown that the VGC-based method, whose implementation is easy, achieves significantly better performance than conventional batch template training method without feedback learning. © 2012 Huazhong Univ of Sci & Tec.

Zhang X.-Y.,National Research Center for Rehabilitation Technical Aids
Advances in Intelligent and Soft Computing | Year: 2012

Basic concepts of intelligent assistive device, and product groups. intelligent prosthetics, intelligent wheelchair, intelligent mobility assistive device, intelligent home automation and environment control of assistive rehabilitation training robot for assistive device, intelligent life, intelligent assistive device development tasks and future trends. © 2012 Springer-Verlag GmbH Berlin Heidelberg.

Wang Q.,National Research Center for Rehabilitation Technical Aids | Lan Z.,National Research Center for Rehabilitation Technical Aids
International Journal of Hydrogen Energy | Year: 2016

This study analyses the elderly, disabled and injured people use rehabilitation aids fuel cell product market in the sector of population and health, at the same time efforts to assess the future prospects of the fuel cell. This paper describes the advantages and disadvantages of fuel cell, the difference between the fuel cell and battery, elaborated rehabilitation aids products on the power requirements, and from the categories of rehabilitation aids such as mobile aids products, rehabilitation robotics and intelligent home products details their advantages and market prospects of the fuel cell. Finally, the analysis concluded that the above view, and to discuss the direction of development for fuel cell applications. © 2016 Hydrogen Energy Publications, LLC.

Zhang X.,National Research Center for Rehabilitation Technical Aids
i-CREATe 2010 - International Convention on Rehabilitation Engineering and Assistive Technology | Year: 2010

The field of rehabilitation technical aids is the health industry. Rehabilitation technical aids industry is a cross-disciplinary and high-tech industry. The market demand for rehabilitation technical aids is growing. Developed countries have been far ahead in the field of rehabilitation technical aids. Macro-control capacity of China must be enhanced in the field of rehabilitation technical aids. © 2010 START Centre.

PubMed | National Research Center for Rehabilitation Technical Aids and Shandong University
Type: | Journal: Neuroscience letters | Year: 2017

Noninvasive and accurate assessment of driving fatigue in relation to brain activity during long-term driving can contribute to traffic safety and accident prevention. This study evaluated functional connectivity (FC) in relevant brain regions. Synergistic mechanisms in different brain regions were detected by a novel simulator, which combined semi-immersive virtual reality technology and functional near-infrared spectroscopy. Each subject was instructed to complete driving tasks coupled with a mental calculation task. Wavelet coherence (WCO) and wavelet phase coherence (WPCO) were calculated and assessed in frequency intervals (I) 0.6-2 and (II) 0.145-0.6Hz as global connectivity measures; (III) 0.052-0.145, (IV) 0.021-0.052, (V) 0.0095-0.021 and (VI) 0.005-0.0095Hz as FC. WCO and WPCO revealed the strength and synchronization of cerebral connectivity, respectively. Significantly low WCO levels were found in intervals I and III in prefrontal cortex (PFC) and IV in motor cortex (MC) at the end of the driving task. Furthermore, significantly low WPCO were found in intervals I, and III in PFC and interval IV in MC. Experimental findings suggested that progressive mental fatigue adversely influences the cognitive function in the PFC and the cooperative mechanism between the PFC and MC.

Loading National Research Center for Rehabilitation Technical Aids collaborators
Loading National Research Center for Rehabilitation Technical Aids collaborators