ABSTRACT
At present, the upper limb function of stroke patients is often assessed clinically using a scale method, but this method has problems such as time-consuming, poor consistency of assessment results, and high participation of rehabilitation physicians. To overcome the shortcomings of the scale method, intelligent upper limb function assessment systems combining sensors and machine learning algorithms have become one of the hot research topics in recent years. Firstly, the commonly used clinical upper limb functional assessment methods are analyzed and summarized. Then the researches on intelligent assessment systems in recent years are reviewed, focusing on the technologies used in the data acquisition and data processing parts of intelligent assessment systems and their advantages and disadvantages. Lastly, the current challenges and future development directions of intelligent assessment systems are discussed. This review is hoped to provide valuable reference information for researchers in related fields.
Subject(s)
Humans , Algorithms , Physical Therapy Modalities , Stroke/diagnosis , Stroke Rehabilitation , Upper ExtremityABSTRACT
Objective:To understand the distribution characteristics of human brucellosis in Anyang City, Henan Province, and to provide scientific basis for control of brucellosis.Methods:The epidemic data and population data of human brucellosis in 2019 in Anyang City were collected from the Chinese Disease Control and Prevention Information System, and the epidemiological and clinical data were collected by Anyang Center for Disease Control and Prevention. Descriptive epidemiological method was used to sort out and analyze the epidemiological and clinical characteristics of brucellosis.Results:In 2019, 128 cases of brucellosis were reported in Anyang City, with an incidence rate of 3.12/100 000 (128/4 096 193). Among them, 85 cases were male and 43 cases were female, the sex ratio of male to female was 1.98∶1.00; the youngest was 1 year old, and the oldest was 83 years old, there were 100 cases between 40 and 69 years old, accounting for 78.12% (100/128); the main occupation was farmer (119 cases), accounting for 92.97% (119/128); a total of 96 cases had contact history with sheep, accounting for 75.00% (96/128). The peak of incidence was from April to August (81 cases), accounting for 63.28% (81/128). Eight counties (cities and districts) in Anyang City were all affected, and the top three counties (districts) were Yindu District (15.39/100 000, 42/272 983), Longan District (5.16/100 000, 12/232 421) and Neihuang County (4.02/100 000, 27/672 396). The median time from onset to diagnosis was 32.18 d, ranging from 3 to 350 d, 72 cases were ≥ 31 d, accounting for 56.25% (72/128).Conclusions:In 2019, the main population of brucellosis in Anyang City is male middle-aged and elderly farmers, and the main infection route is contact transmission. It is suggested to strengthen the implementation of prevention and control measures of brucellosis.
ABSTRACT
A software and hardware platform for gait simulation and system evaluation for lower limb intelligent prosthesis is proposed and designed, in order that the wearable symmetry effect of the intelligent knee prosthesis can be quantitatively analyzed by machine test instead of human wear test. The whole-body three-dimensional gait and motion analysis system instrument, a device to collect gait data such as joint angle and stride of adults, was used for extracting simulated gait characteristic curve. Then, the gait curve was fitted based on the corresponding joint to verify the feasibility of the test platform in the experiment. Finally, the developed artificial knee prosthesis was worn on the prosthetic evaluation system to quantitatively analyze the gait symmetry effect. The results showed that there was no significant difference in gait symmetry between the developed knee joints at different speeds, which could reach more than 88%. The simulation and evaluation of the prosthetic gait have good effects on the functional simulation and evaluation of the lower limb intelligent prosthesis.
Subject(s)
Adult , Humans , Artificial Limbs , Biomechanical Phenomena , Gait , Knee Joint , Knee Prosthesis , Prosthesis DesignABSTRACT
With the aging of the society, the number of stroke patients has been increasing year by year. Compared with the traditional rehabilitation therapy, the application of upper limb rehabilitation robot has higher efficiency and better rehabilitation effect, and has become an important development direction in the field of rehabilitation. In view of the current development status and the deficiency of upper limb rehabilitation robot system, combined with the development trend of all kinds of products of the upper limb rehabilitation robot, this paper designed a center-driven upper limb rehabilitation training robot for cable transmission which can help the patients complete 6 degrees of freedom (3 are driven, 3 are underactuated) training. Combined the structure of robot with more joints rehabilitation training, the paper choosed a cubic polynomial trajectory planning method in the joint space planning to design two trajectories of eating and lifting arm. According to the trajectory equation, the movement trajectory of each joint of the robot was drawn in MATLAB. It laid a foundation for scientific and effective rehabilitation training. Finally, the experimental prototype is built, and the mechanical structure and design trajectories are verified.
ABSTRACT
The performance of intelligent prosthetic knee has an important effect on the realization of physiological gait of transfemoral amputees. A new type of single axis hydraulic damping knee prosthesis was designed based on the analysis of physiological gait. The training methods of the stance and swing phase were proposed. Knee prosthesis test was done through simulation and measurement device. The control target of peak flexion angle during swing of knee prosthesis is chosen to be 60-70°. When the damper valve closure was 0%, maximum swing-phase knee flexion angle of knee prosthesis were (86±2)°, (91±3)° and (97±3)° with the speed of 0.8 m/s, 1.2 m/s and 1.8 m/s, respectively. Once the valve closure was changed, maximum swing-phase knee flexion angle with different speeds could be adjusted between 60° and 70° and the required valve closure percentage were separately 25%, 40% and 70%. The damping adjustment law of intelligent knee prosthesis to achieve physiological gait was revealed.
ABSTRACT
Objective To predict incidence trend of brucellosis in Anyang,Henan Province,so as to provide basis for instituting aimed preventive management.Methods To construct gray model (GM) according to incidence and rate of brucellosis of Anyang from 2004 to 2015,and predict the incidence rate of brucellosis of Anyang from 2016 to 2018.The data of brucellosis in Anyang were from the Infectious Disease Report Information Management System for Disease Control,China Information System for Disease Control and Prevention,the population data were from Anyang Bureau of Statistics.Results The GM (1,1) had good accuracy in predicting and test,the posterior error ratio (C) =0.32,and the probability value (P) =0.99.The model could be used for extrapolating prediction.The actual incidence rate was compared with the predicted value,the value was basically consistent,fit effect was good.The predictive morbidity of brucellosis was 2.92/105,3.12/105 and 3.43/105 from 2016 to 2018 in Anyang,the incidence showed an increasing trend.Conclusions The GM (1,1) has high precision for predicting incidence of brucellosis.We need to take into account the epidemic characteristics of infectious diseases and social factors in actual practice.