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An upper limb rehabilitation and training system US20140336542.

An upper limb rehabilitation and training system US20140336542.

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Background: With the increasing number of hemiplegic patients in recent years, traditional rehabilitation methods cannot meet the current social needs. In order to help patients recover as soon as possible, the combination of the human intelligence and the mechanical power device of the manmachine interface of the exoskeletal rehabilitation robot i...

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... rods can be associated with the upper limb of a patient. And the rigid rods are ar- ticulated to each other at two adjacent ends. This robot can complete four degree of freedom rehabilitation training. But the two upper limbs can't be trained at the same time. Li et al. proposed a upper limb rehabilitation and training system, which is shown in Fig. (6). This system includes a horizontal position adjuster, a base, an expansion rotary member, a shoulder joint traction mechanism, a height ad- juster and an upper limb rehabilitation device. The upper limb rehabilitation device is adjustable to fit the left arm or right arm through the horizontal position adjuster, the expan- sion rotary ...

Citations

... In addition to nursing robots, similar medical robots also include typical rehabilitation robots. Rehabilitation robots are mainly classified by rehabilitation locations, such as rehabilitation of hand functions [3], waist rehabilitation [4], ankle rehabilitation [5], lower limb [6] and upper limb rehabilitation [7,8]. However, rehabilitation robots or rehabilitation equipment are relatively specialized to a specific patient, and these devices cannot be used universally. ...
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Background: With the elderly population increasing at a phenomenal rate in the world, the disabled elderly care has become a hot issue concerned with society and government. The latest survey showed that the elder, who wish to grow old in their own house, is more than 85%. It is a pending problem that how to meet the elder’s need and relieve the burden of society and their children. The nursing service market could reach 3.3 trillion yuan in 2020, and then the technology industry of elderly nursing will grow into a new increasing point for the national economy. Therefore, the informatization and robotization of elderly nursing will become the necessary development trend in the future. Objective: To provide an overview of the existing nursing robots and introduce their classification, characteristics and development. Methods: This paper reviews various productions and patents related to the nursing robot. The structural characteristics, differentiations and applications of the typical nursing robot are also introduced. Results: The three types of the nursing robot are compared and analyzed, and the typical characteristics are concluded. The main problems in its development are analyzed, the development trend is foreseen, and the current and future research of the productions and patents on the nursing robot are discussed. Conclusion: Nursing robots are divided into an independent nursing robot, rehabilitation nursing robot bed and multifunctional mobile nursing robot. The nursing robot has important practical significance for promoting social nursing services, and it plays an important role in improving nursing quality of patients and the elderly and reducing the pressure of nursing staff. Further improvements are needed in the aspects of reliability, comfortable capability, humanization, intelligence and security of the nursing robot. More patents on nursing robot should be invented.
Chapter
This chapter investigates the usage of energy by a human arm in writing with a three-revolute-joint (3R) robotic analog as a substitute. Data were gathered on basic paths as well as more-complex paths designed to mimic more human language and scripts. Furthermore, testing included several writing orientations—left to right, right to left, top to bottom, and bottom to top—and testing and simulating handedness. Data were gathered through a numerical analysis and a simulated 3R robot operated by using direct torque control. Energy data were extrapolated from joint variables, via torque. This chapter aims to determine whether writing from right to left or writing from left to right consumes more energy.