Fabric cooling channels for twisted coiled actuators (TCAs) were recently proposed to achieve the required response times for motion assistance in a manner suitable for soft wearable robotic devices. While previous wo...
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ISBN:
(数字)9798350386523
ISBN:
(纸本)9798350386530
Fabric cooling channels for twisted coiled actuators (TCAs) were recently proposed to achieve the required response times for motion assistance in a manner suitable for soft wearable robotic devices. While previous work demonstrated that the fabric channel reduced the cooling time by 42% in comparison to the same TCA without the cooling channel, the TCAs were still not cooled quickly enough to support human motion. Therefore, in this paper, two variations to the channel are proposed to further reduce the cooling time of the TCAs. The variations include unsealing the inlet and adding vents along the length of the channel to take advantage of air entrainment and natural convection. While both variations reduced the cooling time on their own, when they were employed together there was a 34% reduction in cooling time compared to the original channel design (
$19.1 \pm 2.4\ \mathrm{s}$
vs.
$13.5 \pm 0.9\ \mathrm{s}, \mathrm{p} < 0.001$
). This decrease occurred without any significant differences in the stroke or heating time of the TCA. The modified channel was then compared to the TCA without the cooling apparatus and the cooling time was reduced by 57% (
$25.1 \pm 1.7\ \mathrm{s}$
vs.
$14.0 \pm 1.2\ \mathrm{s}, \mathrm{p} < 0.001)$
. This work advances the development of a cooling system for TCAs, making it suitable for soft wearable robotic devices by improving portability, and thereby enabling their use in wearable devices for rehabilitation applications.
Wearable tremor suppression devices have been proposed as a promising alternative to suppress or reduce tremor motion associated with neurological disorders. To fully benefit patients, available tremor suppression dev...
ISBN:
(数字)9781728159072
ISBN:
(纸本)9781728159089
Wearable tremor suppression devices have been proposed as a promising alternative to suppress or reduce tremor motion associated with neurological disorders. To fully benefit patients, available tremor suppression devices need to be improved in their design, size, weight, and control. Although tendon-driven transmission systems are able to decrease the size and weight of these devices, they have complex control system requirements due to their substantially nonlinear behavior. For this purpose, this paper aims to develop a precise kinematic model of a wearable tremor suppression glove by considering the configuration of its tendons and sheaths, in order to improve the tendon arrangement, study the kinetic model of the glove, and increase the accuracy of the control system. A novel model is presented to calculate the tendon travel during hand motion. The derived kinematic model of the glove was verified by both simulation and benchtop experiments, and the new model has been validated. The mean correlation coefficient for the kinematic model is 0.90±0.01.
This paper outlines a project idea for an Automated Pill Dispenser (APD) for home usage. It is developed using CAD software, 3D printed parts, Arduino Mega Microcontroller, continuous and non-continuous servos, optica...
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The article Material Mapping of QCT-Derived Scapular Models: A Comparison with Micro-CT Loaded Specimens Using Digital Volume Correlation, written by Knowles et al, was originally published electronically on the publi...
Background: Finite element modeling of human bone provides a powerful tool to evaluate a wide variety of outcomes in a highly repeatable and parametric manner. These models are most often derived from computed tomogra...
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Background: Finite element modeling of human bone provides a powerful tool to evaluate a wide variety of outcomes in a highly repeatable and parametric manner. These models are most often derived from computed tomography data, with mechanical properties related to bone mineral density (BMD) from the x-ray energy attenuation provided from this data. To increase accuracy, many researchers report the use of quantitative computed tomography (QCT), in which a calibration phantom is used during image acquisition to improve the estimation of BMD. Since model accuracy is dependent on the methods used in the calculation of BMD and density-mechanical property relationships, it is important to use relationships developed for the same anatomical location and using the same scanner settings, as these may impact model accuracy. The purpose of this literature review is to report the relationships used in the conversion of QCT equivalent density measures to ash, apparent, and/or tissue densities in recent finite element (FE) studies used in common density-modulus relationships. For studies reporting experimental validation, the validation metrics and results are presented. Results: Of the studies reviewed, 29% reported the use of a dipotassium phosphate (K2HPO4) phantom, 47% a hydroxyapatite (HA) phantom, 13% did not report phantom type, 7% reported use of both K2HPO4 and HA phantoms, and 4% alternate phantom types. Scanner type and/or settings were omitted or partially reported in 31% of studies. The majority of studies used densitometric and/or density-modulus relationships derived from different anatomical locations scanned in different scanners with different scanner settings. The methods used to derive various densitometric relationships are reported and recommendations are provided toward the standardization of reporting metrics. Conclusions: This review assessed the current state of QCT-based FE modeling with use of clinical scanne
In recent years, the possibility of using smart technologies to enhance rehabilitative therapies has become a reality. Smart technologies can adjust their functionality based on real-time performance to provide the mo...
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In recent years, the possibility of using smart technologies to enhance rehabilitative therapies has become a reality. Smart technologies can adjust their functionality based on real-time performance to provide the most effective therapy. This paper presents the design, development and testing of a wearable mechatronic brace created to assist in upper limb rehabilitation. The purpose of the smart brace is to provide safe therapy of musculoskeletal disorders, in particular brachial plexus injuries. A control system has been developed that facilitates the retraining of the biceps for individuals who have suffered brachial plexus nerve damage. Electromyography (EMG) data for flexion and extension of the elbow were recorded from three healthy subjects and used to scale velocity profiles. The experiments assessed the performance of the smart brace in its ability to reproduce a motion, to compensate for the effect of muscle disability and to detect fatigue. The results showed that the control system was able to adjust velocities to accommodate for disability or fatigue. This initial implementation provides a control model and logic from which the brace can be improved. Future testing of the brace using subjects with a brachial plexus injury will help solidify the techniques used for brace control.
Recent years witnessed a growing interest in biped walking robots because of their advantageous use in the human environment. However, their control requires many problems to be solved because of the many degrees of f...
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Recent years witnessed a growing interest in biped walking robots because of their advantageous use in the human environment. However, their control requires many problems to be solved because of the many degrees of freedom and nonlinearity in their dynamics. The so-called open loop walking with offline trajectory generation is one of the control approaches in the literature. There are various difficulties involved in this approach, the most important one being the difficulty in tuning the gait parameters. This paper proposes an online fuzzy adaptation scheme for one of the trajectory parameters in the offline generated walking pattern. A fuzzy identifier system, represented as a three-layer feed-forward neural network is employed to compute the parameter as a function of time in simulations. Fuzzy system parameters are adapted via back-propagation. Virtual torsional springs are attached to the trunk center of the biped. The torque generated by the springs serve as the criterion for the tuning and they help maintaining a stable and a longer walk which is necessary for the online tuning process. 3D simulation and animation techniques are employed for a 12-DOF biped robot to test the proposed adaptive method.
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