We proposed a new method to measure the frequency-dependent attenuation of bio cells using piezoelectric ultrasonic transducer. The polyvinylidene fluoride (PVDF) polymer was employed as piezoelectric material to take...
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We proposed a new method to measure the frequency-dependent attenuation of bio cells using piezoelectric ultrasonic transducer. The polyvinylidene fluoride (PVDF) polymer was employed as piezoelectric material to take an advantage of its low acoustic impedance (2.7 Mrayl) so that the transmission of acoustic power will be improved by impedance matching with that of liquid medium. The thickness of PVDF film is 110 ¿m and the resonance frequency of the 1 st thickness mode is 8.7 MHz. In order to characterize the fabricated ultrasonic transducer, a transducer and an acoustic wave reflector were positioned face to face. The output voltage for reflected transmitted ultrasonic wave was measured with impulse method and was transformed into the Round Trip Insertion Loss (RTIL) where the dominant frequency ranges from 5 MHz to 9 MHz.
Due to the difficulties in measurement of muscle activities and the complex musculoskeletal structure, estimations of the thumb-tip force in real time have been a challenge for controlling artificial prosthesis natura...
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Due to the difficulties in measurement of muscle activities and the complex musculoskeletal structure, estimations of the thumb-tip force in real time have been a challenge for controlling artificial prosthesis naturally. This study describes an isometric thumb-tip force estimation technique based on phenomenological muscle model named Hill's model. The surface electromyogram(sEMG) signals of the muscles near surface were measured and converted to muscle activation information. The activations of deep muscles were inferred from the ratios of muscle activations from earlier study. The muscle length of each contributed muscle was obtained by using motion capture system and musculoskeletal modeling software packages. Once muscle forces were calculated, thumb-tip force was estimated based on mapping model from the muscle force to thumb-tip force. The proposed method was evaluated in comparisons with an artificial neural network (ANN) under four different thumb configurations to investigate the potential for estimations under conditions in which the thumb configuration changes. The results seem to be promising and the proposed method could be applied to predict finger-tip forces from non-invasive neurosignals with a real-time prosthesis control system.
Biomedical engineering has evolved over the years until now virtually all engineering disciplines are engaged in "the application of engineering principles to problems of the life sciences". Universiti Malay...
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This paper presents multi-criteria design optimization of parallel mechanism based force feedback exoskeletons for human forearm and wrist. The optimized devices are aimed to be employed as a high fidelity haptic inte...
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This paper presents multi-criteria design optimization of parallel mechanism based force feedback exoskeletons for human forearm and wrist. The optimized devices are aimed to be employed as a high fidelity haptic interfaces. Multiple design objectives are discussed and classified for the devices and the optimization problem to study the trade-offs between these criteria is formulated. Dimensional syntheses are performed for optimal global kinematic and dynamic performance, utilizing a Pareto front based framework, for two spherical parallel mechanisms that satisfy the ergonomic necessities of a human forearm and wrist. Two optimized mechanisms are compared and discussed in the light of multiple design criteria. Finally, kinematic structure and dimensions of an optimal exoskeleton are decided.
The effects of intermediate mechanical deformation (IMD) and bending processing on Bi-2223 tapes were studied. Bi-2223 tapes were manufactured by powder-in-tube process with an IMD. Normal rolling (NR), pressing ...
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The effects of intermediate mechanical deformation (IMD) and bending processing on Bi-2223 tapes were studied. Bi-2223 tapes were manufactured by powder-in-tube process with an IMD. Normal rolling (NR), pressing (P) and sandwich rolling (SR) with different reduction rate were used in the IMD. And there were an optimum reduction rate existing for the three MID techniques, at which critical current reached maximum. Critical current densities Jc of Bi-2223 crystals were measured with an applied magnetic field B respectively parallel to ab face and c axis. Relations of Jc dependences of reduction rate and superconducting materials density D were respectively studied and showed a Gaussian distribution law. Maximum pinning force density Fmax and irreversible magnetic field Birr were introduced to describe the effects of mechanical processing. Analysis of experimental results showed that Jcs Fmax and Birr were linear dependence on D. Obviously, increasing D was a vital way to enhance Jc Bending experiments were performed for SR tapes sheathed by Ag and Ag/Sb and Ag/Mg alloy, respectively. Silver alloy sheathed tapes showed better bending properties than pure silver sheathed one. Therefore, silver alloy sheathed, optimum reduction rate of IMD, and increasing D for Bi-2223 tapes' applications were important technical strategies to enhance their mechanical, electrical, and magnetic properties.
The paper has the goal of comparing the performance of four different approaches to fuzzy modeling, using parameterized conjunctions, a novel concept named constrained fuzzy sets (CFSs), CFSs with parameterized conjun...
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The paper has the goal of comparing the performance of four different approaches to fuzzy modeling, using parameterized conjunctions, a novel concept named constrained fuzzy sets (CFSs), CFSs with parameterized conjunctions, and unnormalized interval type-2 Takagi Sugeno Kang (IT2 TSK). The theoretical and mathematical backgrounds of the four approaches are briefly described and their performances are compared in approximating a nonlinear function.
This paper presents the design and mechatronics implementation of a human stress detection system (HSDS) using a biomechanics approach. A simple, compact and easy to use system is developed and built on a 2-layer PCB....
This paper presents the design and mechatronics implementation of a human stress detection system (HSDS) using a biomechanics approach. A simple, compact and easy to use system is developed and built on a 2-layer PCB. It consists of two transducers, an LCD display and a micro-controller chip along with their respective interfacing circuits. After characterizing the two transducers, an algorithm was developed based on the measurements to classify the human stress condition. A simple classification rule that was adopted revealed that the system can detect 78% of the stressed examinees. The overall system success rate in identifying one of three states (relaxed, half stressed and stressed) was 60%. One major application for HSDS could be in the automotive industry were the driver condition is constantly monitored, and if a stress state is detected, the driver can be notified to stop the car and relax.
Due to the complicated relationship between a muscle activation level and isometric joint torques, predicting torques under isometric conditions have been an obstacle to neuromuscular control of robots in the field of...
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Due to the complicated relationship between a muscle activation level and isometric joint torques, predicting torques under isometric conditions have been an obstacle to neuromuscular control of robots in the field of human robot interaction (HRI). This study describes the isometric torque estimation of the metacarpophalangeal (MCP) joint of a human hand based on the Hill muscle model. Surface electromyography (sEMG) for muscle activation and ultrasound imaging technique for muscle length changes of the first dorsal interosseous (FDI) muscle were employed under isometric condition. The result showed that the prediction is more dependent on sEMG than length change and has a high correlation value (r = 0.9604) with the measured torque. This result indicates the possibility of a torque prediction method based on the Hill muscle model for natural human robot interaction.
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