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Although abdominal operation is a kind of important clinical surgery, recovery of the post-operative is usually evaluated by the judgment of doctors. This traditional medical care mode may take much time of medical staffs and meanwhile increase the expense of patients. In this paper, a recovery evaluation system is established for the abdominal post-operative by using body sensor networks (BSN). The...
An EMG controlled intelligent orthosis was developed to support the rollover movement of cancer bone metastasis patients. In this paper, the validation of the developed signal processing algorithm to recognize the rollover was focused. Firstly, the ElectroMechanicalDelay of the internal oblique muscle was measured as the about 65 (msec). Secondly, it was confirmed that the rollover movement was recognized...
There are some difference between biological subjects and conventional humanoid robots from the point of its mechanisms, control method, and application of the biological characteristics to humanoid robots are now being popular. Motion control for 2-link robot arm on specific condition are mainly discussed in this paper. From the point of mechanism, biological subjects have two joints simultaneous...
It is critical to fabricate ideal scaffolds for tissue engineered vascular graft. Nanofibers composted with collagen, elastin and polycaprolactone (PCL) were prepared by electrospinning. The obtained composite fibers had an average diameter around 300-500 nm. Mouse smooth muscles cells and endothelial cells cultured on these composite fibrous meshes showed enhanced cell attachment and accelerated...
In the labor-intensive fields, lifting a heavy object up and down is regarded as a frequently performed motion which imposes a physical strain on workers. Power assist systems are expected to address such a problem. However, conventional systems in the related studies have the disadvantage of either the effort for wearing or specified operation manner, which may prevent them from being introduced...
In this paper, we examine the potential of electromyographic (EMG) and acceleration measurements in discriminating patients with Parkinson's disease (PD) from healthy persons. Two types of muscle contractions are examined: static contractions of biceps brachii muscles and elbow extension movements. Twelve features are extracted from static and ten features from extension measurements. These features...
This work aims at modeling, in the presence of simplifying physical and geometrical assumptions, acoustic wave propagation through human thoracic tissue. Presented here are preliminary modeling results that are indicative of dominant lung resonances at specific frequencies. These resonant modes strongly impact pressure distribution in the tissue as well as the pressure and acceleration at the tissue-air...
A motion controller which has an acceleration sensor increases reality and intuitiveness in sports games. But we adjust not only visible posture but also invisible force like stiffness and viscosity when we play sports. We propose a game controller using player's movement and force by using acceleration and electromyogram(EMG). In this research, we compared conventional motion controller and proposed...
One of the most important elements for the rehabilitation process regards to the correct evaluation of the biomechanical and the electrophysiological responses. This evaluation must be done during the therapy. In general, the improvements achieved by the treatment are slightly and difficult to be distinguished. This is a difficult task when the changes in the signals obtained by the bio-amplifiers...
This paper gives an advanced driving control system considering sway suppression of a passenger on an electrical wheelchair. The proposed driving control system is constructed on virtual experiment with motion analysis. To suppress the sway of a passenger's posture, the wheelchair driving pattern is optimized using the passenger's posture model. In order to verify the effectiveness of the proposed...
The aim of this work is to contribute to the analysis and characterization of training with whole body vibration (WBV) and the resultant neuromuscular response. WBV aims to mechanically activate muscle by eliciting stretch reflexes. Generally, surface electromyography is utilized to assess muscular response elicited by vibrations. However, EMG analysis could potentially bring to erroneous conclusions...
This paper proposes a control method for a human-assisting manipulator using acceleration sensors. The technique involves an arm control part (ACP) and a hand-and-wrist control part (HWCP); the ACP controls the manipulator's shoulder and elbow joints using acceleration signals, while the HWCP controls the corresponding joints using mechanomyogram (MMG) signals measured from the human operator. A distinctive...
A number of works have been reported on robot control using EMG signals. Control of robots, wheelchairs, and rehabilitation aids using the arms, hands or legs by EMG signals has been quite popular and effective. However, few works have dealt with head-movement control using neck EMG signals. We have built a model that estimates continuous human head movement from neck EMG signals. Our proposed model,...
Vibration has been increasingly sought after as new technique, due to its potential to increase muscle strength and positively affect bone remodeling. Currently, there are many vibration devices on the market advertised for different applications, in particular in sports and rehabilitation. All the available devices have two major drawbacks; firstly, they are not sufficiently adaptive to the individual...
This paper proposes a method of estimating fingertip forces in finger tapping movements based on human fingerpad characteristics. Since the human fingerpad exhibits elasticity, the proposed technique recreates the relationship between the fingertip force and the displacement generated between the thumb and index fingerpads as a fingerpad-stiffness model. Then, using this model, the force between the...
This paper presents a numerical approach using principal component analysis (PCA) to quantize and characterize the variance of hand postures in a novel posture transformation task. Five subjects were tested in two tasks in which a cursor can be moved by varying the hand posture. This was accomplished by weighted linear combination of 14 sensors of a data glove. The first task was to move a cursor...
Acquiring skillful movements of experts is a difficult task in many fields. Since non-experts often fail to find out how to improve their skill, it is desirable to find quantitative indices of skillful movements that clarify the difference between experts and non-experts. If we find quantitative indices, we can develop an adaptive training system using the indices. In this study, we quantitatively...
This paper investigates the roles of a three-axis accelerometer, surface electromyography sensors and a webcam for dynamic gesture recognition. A decision-level multiple sensor fusion method based on action elements is proposed to distinguish a set of 20 kinds of dynamic hand gestures. Experiments are designed and conducted to collect three kinds of sensor data stream simultaneously during gesture...
The evaluation of the deep tendon reflex is a standard aspect of a neurological evaluation, which is frequently evoked through the patellar tendon reflex. Important features of the reflex are response and latency, providing insight to status for peripheral neuropathy and upper motor neuron syndrome. A wireless accelerometer reflex quantification system has been developed, tested, and evaluated. The...
This paper proposes a multi-sensor data fusion technique to determine the complex interactions between the sensory, muscular and mechanical components of the human locomotor systems (neuromechanics). We investigated the use of an array of accelerometers, rate gyroscopes, force plates and electromyogram for the assessment of x-y-z components of the hip, thigh, shank and foot acceleration and velocity...
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