An architecture for integrated vehicle health management based on nervous system model and TEDS

2013 ◽  
Author(s):  
Zhang Lixue ◽  
Yang Xixiang ◽  
Wang Zhongwei
Keyword(s):  
Nervous System ◽  
Health Management ◽  
System Model

scholarly journals Autonomous speed adaptation by a muscle-driven hind leg robot modeled on a cat without intervention from brain

2021 ◽  
Vol 18 (5) ◽  
pp. 172988142110449
Author(s):  
Yasuhiro Fukuoka ◽  
Yasushi Habu ◽  
Kouta Inoue ◽  
Satoshi Ogura ◽  
Yoshikazu Mori
Keyword(s):  
Nervous System ◽  
Central Pattern Generator ◽  
Sensory Feedback ◽  
Legged Locomotion ◽  
Pattern Generator ◽  
System Model ◽  
Simulated Model ◽  
Wide Range ◽  
Locomotion Controller ◽  
Muscle Models

This study aims to design a nervous system model to drive the realistic muscle-driven legs for the locomotion of a quadruped robot. We evaluate our proposed nervous system model with a hind leg simulated model and robot. We apply a two-level central pattern generator for each leg, which generates locomotion rhythms and reproduces cat-like leg trajectories by driving different sets of the muscles at any timing during one cycle of moving the leg. The central pattern generator receives sensory feedback from leg loading. A cat simulated model and a robot with two hind legs, each with three joints driven by six muscle models, are controlled by our nervous system model. Even though their hind legs are forced backward at a wide range of speeds, they can adapt to the speed variation by autonomously adjusting its stride and cyclic duration without changing any parameters or receiving any descending inputs. In addition to the autonomous speed adaptation, the cat hind leg robot switched from a trot-like gait to a gallop-like gait while speeding up. These features can be observed in existing animal locomotion tests. These results demonstrate that our nervous system is useful as a valid and practical legged locomotion controller.

Multivariate Analysis of the Health Status of the Elderly Based on the Decision Support System Model and Countermeasures

2021 ◽  
Vol 7 (5) ◽  
pp. 4914-4924
Author(s):  
Xiaohua Li ◽  
Jianbo Li ◽  
Xianchu Liu ◽  
Wenxue Tan
Keyword(s):  
Quality Of Life ◽  
Chronic Diseases ◽  
Health Management ◽  
Population Aging ◽  
Health Assessment ◽  
The Elderly ◽  
Cerebrovascular Diseases ◽  
Assessment System ◽  
System Model

Objectives: At present, China’s population over 60 years old has been increasing year by year. As the problem of population aging is becoming more and more prominent, followed by a variety of health problems, which is studied. Methods: In this paper, Bayesian technology and decision tree technology are applied to the health assessment system of cardiovascular and cerebrovascular chronic diseases. Results: A health management system for chronic diseases is developed to enable health management experts to assess health according to physical examination data. Conclusion: The management of chronic cardiovascular and cerebrovascular diseases in physical examinees can reduce the incidence of chronic diseases and improve the quality of life of physical examinees.

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