Design and development of an intelligent biomechatronic tumor prosthesis

Kocaoğlu, Sıtkı; Akdoğan, Erhan

doi:10.1016/j.bbe.2019.05.004

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…Sk A conducted a mechanical analysis of the designed biomechanical integrated tumor prosthesis in a simulation environment, made a prototype of the prosthesis, established a wireless communication and control system, and tested the performance of the system on an experimental device. e system was able to detect a limb length difference (LLD) of 1 mm or more between the healthy limb and the prosthetic limb and successfully performed the prosthetic extension procedure to overcome the greatest possible soft tissue resistance [6]. However, these scholars did not research and discuss the 5G virtual reality system based on the prosthetic wearer's gait evaluation and its application in the debugging of intelligent prostheses, but only discussed its significance unilaterally.…”

Section: Related Workmentioning

confidence: 99%

5G Virtual Reality System for Prosthetic Wearer Gait Evaluation and Application in Intelligent Prosthesis Debugging

Yan

Li²,

Xie

et al. 2022

Mobile Information Systems

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The main purpose of developing intelligent lower limb prostheses is to improve the quality of life of the disabled and promote the development of medical care. At the same time, the research of robotic intelligent lower limb prosthesis is a research direction that has been widely concerned in the field of robotics and biomedical engineering technology in recent years. This paper aims to research and discuss the 5G virtual reality system based on the gait evaluation of prosthetic wearers and its application in the debugging of intelligent prostheses. First, this paper analyzes the combination of the concept of lower extremity rehabilitation and virtual reality. Virtual reality technology is a means of exercise rehabilitation for patients with lower extremity hemiplegia, which plays an auxiliary role in the rehabilitation process. Then, the recognition and pre-method of human lower limb motion state are described. In the field of intelligent prosthetic state recognition, in addition to neural network recognition methods, there are hidden Markov (HMM) recognition methods, auxiliary vector machines (SVM), and so on. Finally, the lower limb state phase detection experiment and the prosthetic control experiment based on state phase detection are studied. The results of this experimental study showed that, for the same experimenter, changes in pace and gait did not affect the percentage of standing and swing phases. That is, the standing phase accounts for about 60% of the entire gait cycle, while the swing phase accounts for 40% of the entire gait cycle. This rule has been verified in other experiments.

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Section: Related Workmentioning

confidence: 99%

5G Virtual Reality System for Prosthetic Wearer Gait Evaluation and Application in Intelligent Prosthesis Debugging

Yan

Li²,

Xie

et al. 2022

Mobile Information Systems

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“…The precision parameter serves to determine reliability of the model by checking whether a fall is existing when the model gives a fall alert. Real success rate of the system is obtained with the F1 score to be obtained from two parameters; precision and recall (Kocaoğlu and Akdoğan, 2019). All parameters used in performance evaluation are given in Table 3.…”

Section: False Negative (Fn)mentioning

confidence: 99%

Elderly Fall Detection and Fall Direction Detection via Various Machine Learning Algorithms Using Wearable Sensors

Kocaoğlu¹,

Güven²

2021

Hittite J. Sci. Eng.

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A s a result of the developments in the field of medicine, human life has been prolonged. For this reason, the ratio of elderly individuals to other individuals in the society is increasing day by day. According to the United Nations' World Population Ageing 2019 report, the world population is estimated to increase by 2 billion people and reach 9.7 billion by 2050(United Nations, 2019). According to the expectations of the World Health Organization (WHO), the number of individuals over 60 is estimated to exceed 2 billion in 2050 and the rate of deaths due to falls is estimated to increase from 28% to 42% (WHO, 2007;Chelli and Patzold, 2019). While falls of elderly people sometimes result in severe damage such as bone fracture, some falls do not cause any significant injury. The elderly person's health condition worsens as a result of the inability to get up without support after a long stay on the floor. For this reason, it is vital that the falls of elderly individuals must be detected while Article History:

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FPGA based real-time epileptic seizure prediction system

Coşgun

Çelebi

2021

Biocybernetics and Biomedical Engineering

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Design and development of an intelligent biomechatronic tumor prosthesis

Cited by 5 publications

References 31 publications

5G Virtual Reality System for Prosthetic Wearer Gait Evaluation and Application in Intelligent Prosthesis Debugging

5G Virtual Reality System for Prosthetic Wearer Gait Evaluation and Application in Intelligent Prosthesis Debugging

Elderly Fall Detection and Fall Direction Detection via Various Machine Learning Algorithms Using Wearable Sensors

FPGA based real-time epileptic seizure prediction system

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