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Cranial nerve examination takes an important role in the physical examination. All the medical staffs need to be trained to master the skills for examination. By now, several training methods have been carried out for medical training including training with the simulated patient (SP). However, considering the characters of eyeball, the involuntary actions cannot be simulated by Sp. With the developments...
Neurologic examination takes an important role in the physical examination. By now, several methods have been carried out for medical training which bring the benefits for trainee to master the skills and accumulate experiences. However, because of the limits of these methods, the training effectiveness is limited. With the developments of technology, more and more simulators have been launched to...
Cyclical locomotion, such as walking, hopping and running, is known to be generated at the spinal cord, guiding human and animal strides over different gaits. Over the last years, many researchers concentrated their study on the origin of such signals, replicating them by either controlling joint angles or torques. In this work, we use a quadruped pneumatic robot to reproduce stable walking on a treadmill...
Adaptability of quadruped animals is not solely reached by brain control, but by the interaction between its body, environment, and control. Especially, morphology of the body is supposed to contribute largely to the adaptability. We have tried to understand quadrupedal locomotion by building a bio-inspired quadruped robot named “Pneupard”, which has a feline-like muscular-skeletal structure. In our...
This paper develops a hemiplegic walking functional recovery training device. This paper proposes a power assist mechanism, hip joint and knee joint motion adaptation mechanism based on the movement of the joints of the human body, mechanism corresponding to the individual differences in body shape, and mechanism to prevent side-overturning. The designed prototype of the device, then the effectiveness...
This study aims to develop a state transition model and speech recognition module for application to a whole-body patient simulator for scenario based training (SBT) of neurological examination procedures. These procedures are very important for the early identification of neurological system disorders. In neurological examinations, the doctor selects procedures by situation of patients, interacts...
Neurological time delay is one of the important elements threatening human postural stability. Previous studies mainly focused on the neural controller to stabilize a human size inverted pendulum model. What kind of postural control mechanism is necessary for compensating neurological time delay by controlling muscles still remains a question. This research proposed to investigate whether a stance...
In this paper, we discuss the identification of finger operation and control of the fingers of a myoelectric prosthetic hand. In our proposed design, finger operation is categorized as one of the six types of motion, and on the basis of integrated electromyography (IEMG), the identification of finger operation is performed using a support vector machine-based classifier. In addition, we describe a...
Two-Step Test is now widely used to evaluate the locomotion ability of human in Japanese biomechanical clinical hospitals. It is a test in which Two-Step Value is calculated by dividing a subject's height by the maximum distance of his/her two steps of walking. The test was developed by Hirano and Muranaga in 2003 to conveniently predict human's walking ability and is shown to have high relations...
In our previous research, we have developed a novel standing assistance system, which uses a remaining physical strength of an elderly person. For realizing it, the assistance system needs to estimate the load of a patient and in many cases, the previous researchers use a joint traction which can be derived by a human linkages model kinematically for evaluating it. However, human body motions are...
An Image-based visual servo system is presented for a bionic spherical parallel mechanism to minimize a tracking error function to analog smooth pursuit of human eye, which is also called eye-in-hand visual servoing, capable of tracking moving target. More specially, we propose a real-time moving target tracking algorithms which utilizes perceptive image hash based on Discrete Cousin Transform, collaborative...
Endotracheal intubation (ETI) is a difficult technique and requires a great deal of practice to master. Research on the difference in movements between experts and novices performing the procedure has shown that experts perform movements more precisely than novices. Experts keep a fixed posture and use the upper arm muscles and wrist joints more effectively. These studies were conducted using optical...
Brain-computer interface (BCI) is currently developed as an alternative technology with a potential to restore lost motor function in patients with neurological injuries. In this paper, we describe an integrated system of a non-invasive electroencephalogram (EEG)-based BCI with a non-invasive functional electrical stimulation (FES). This system enables the direct brain control of upper limbs to achieve...
Exoskeleton of lower extremity, as a kind of wearable robot, can help people who have walking problems and offer rehabilitation training. In this work, through the analysis of human walking, the mechanical structure of an exoskeleton system was studied. By judging the user's intended movement with the measured pressure of the feet, the exoskeleton system works to assist the user. Then, surface EMG...
The study is to establish a precise three-dimensional (3D) finite element model (FEM) of the hip joints and to validate its accuracy for the application to the research on biomechanics. The right hip joint of a volunteer was scanned by computed tomography (CT) and magnetic resonance imaging (MRI). The resulting sectional images were input into MIMICS10.1 and ANSYS14.0 to generate 3D FEM of hip joints...
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