Carbon nanotubes (CNT) are remarkable materials with a simple and inert molecular structure that gives rise to a range of potentially valuable physical and electronic properties, including high aspect ratio, high mechanical strength and excellent electrical con-ductivity. This review summarizes recent research on the application of CNT-based materials to study and control cells of the nervous system. It includes the use of CNT as cell culture substrates, to create pat-terned surfaces and to study cell–matrix interactions. It also summarizes recent investigations of CNT to-xicity, particularly as related to neural cells. The application of CNT-based materials to directing the differentiation of progenitor and stem cells toward neural lineages is also discussed. The emphasis is on how CNT surface chemistry and nanotopography can be altered, and how such changes can affect neural cell function. This knowledge can be applied to creating improved neural interfaces and devices, as well as pro-viding new approaches to neural tissue engineering and regeneration.

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A wearable action-assist device includes a biosignal detection unit detecting a biosignal from a wearer, an action-assist wearing tool having a drive source supplying a torque acting on the wearer around each joint of the wearer as an axis of rotation, a control unit controlling the drive source to generate the torque according to the detected biosignal, a drive torque estimation unit estimating a drive torque generated by the drive source, a joint-angle detecting unit detecting an angular displacement of the joint, and a parameter identification unit identifying kinetics parameters concerned by substituting the estimated drive torque and the detected angular displacement into an equation of motion of an entire system including kinetics parameters intrinsic to the wearer. The control unit is configured to control the drive source according to a predetermined control method based on the equation of motion into which the identified parameters are substituted.

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This paper describes IMU (Inertial Measurement Unit) platforms and their main target applications with a special focus on the 10-degree-of-freedom (10-DOF) inertial platform iNEMO and its technical features and performances. The iNEMO module is equipped with a 3-axis MEMS accelerometer, a 3-axis MEMS gyroscope, a 3-axis MEMS magne-tometer, a pressure sensor, and a temperature sensor. Furthermore, the Microcontroller Unit (MCU) collects measurements by the sensors and computes the orientation through a customized Extended Kalman Filter (EKF) for sensor fusion.

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The present invention relates to an exoskeleton interface apparatus that parallels human arm motion and is comprised of a serial assemblage of five powered linkages and joints based at a rigid support structure worn on the torso of the human subject. Such apparatus generates shoulder rotation using three orthogonal revolute joints mounted on serial linkages encompassing and intersecting at the anatomical glenohumeral joint. Elevation of the shoulder joint is articulated using a link member driven by a single revolute joint mounted in the torso structure. Passive adjustable linkages are used to match variation in anatomical forearm length, upper arm length, and scapula-to-glenohumeral radius. A plurality of integrated dc motor/harmonic drive transmission modules is co-located on adjoining linkages to power the joints. Force is exchanged with the human at the handgrip and elbow brace, and reacted to the torso structure via the base attachment. The present invention is applicable in particular to rehabilitation of the shoulder.

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Powered robotic exoskeletons for assistance of human locomotion are currently under development for military and medical applications. However, the energy requirements for such devices is important and becomes an obstacle for practical applications.

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