A Contribution to Motorized Rehabilitation Devices

Author(s):  
S. Srilekha ◽  
B. Vanathi

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.


2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Kazuya Kubo ◽  
Takanori Miyoshi ◽  
Akira Kanai ◽  
Kazuhiko Terashima

Central nervous system diseases cause the gait disorder. Early rehabilitation of a patient with central nervous system disease is shown to be benefit. However, early gait training is difficult because of muscular weakness and those elderly patients who lose of leg muscular power. In the patient's walking training, therapists assist the movement of patient's lower limbs and control the movement of patient's lower limbs. However the assistance for the movement of the lower limbs is a serious hard labor for therapists. Therefore, research into and development of various gait rehabilitation devices is currently underway to identify methods to alleviate the physical burden on therapists. In this paper, we introduced the about gait rehabilitation devices in central nervous system disease.


2020 ◽  
pp. 430-434
Author(s):  
Cătălina LUCA ◽  
Robert FUIOR ◽  
Călin CORCIOVĂ

Introduction. Postural defects are a real challenge for the contemporary world. Scoliosis, kyphosis and lordosis are diseases of the spine, with various evolutions and multiple changes of the other components of the thorax (shoulders, shoulder blades, ribs), as well as of the intrathoracic and even abdominal organs. Material and method. This paper presents a study on the need to use a smart orthosis in the prevention of postural defects, a study that is the preamble to the physical realization of such an orthosis. The smart orthosis will use inertial sensors capable of calculating orientation angles in a portable monitoring system that will calculate and represent the curvature of the spine. It is hoped that finding a non-invasive solution to identify the shape of the human back can help reduce the time required for medical rehabilitation sessions or can prevent possible postural defects. Results and discussions. In this study, the existing orthoses on the market that could fall into the category of rehabilitation devices used in the prevention of postural defects were evaluated and an intelligent orthosis was designed. Conclusions. At this time, the existence of an intelligent orthosis in the prevention of postural defects would lead to an improvement in health among the population. Also, this prosthesis would crown the work of physiotherapists by maintaining the results obtained. Keywords: postural defects, smart orthosis, prevention, rehabilitation, health improvement,


Author(s):  
Sateesh Reddy Avutu ◽  
Dinesh Bhatia

Patients with neurological disorders are increasing globally due to various factors such as change in lifestyle patterns, professional and personal stress, small nuclear families, etc. Neurological rehabilitation is an area focused by the several research and development organizations and scientists from different disciplines to invent new and advanced rehabilitation devices. This chapter starts with the classification of different neurological disorders and their potential causes. The rehabilitation devices available globally for neurological patients with their underlying associated technologies are explained in the chapter. Towards the end of the chapter, the reader can acquire the fundamental knowledge about the different neurological disorders and the mal-functionality associated with the corresponding organs. The utilization of advanced technologies such as artificial intelligence, machine learning, and deep learning by researchers to fabricate neuro rehabilitation devices to improve patients' quality of life (QOL) are discussed in concluding section of the chapter.


Author(s):  
Mohammadreza Asghari-Oskoei ◽  
Huosheng Hu

Myoelectric signal is known as an alternative human-machine interface (HMI) for people with motor disability in dealing with assisting robots and rehabilitation devices. This chapter examines a myoelectric HMI in real-time application and compares its performance with traditional tools. It also studies the manifestation of fatigue in long-term muscular activities and its impact on ultimate performance. The core of applied HMI is built on the support vector machine as a classifier. The experiments confirm that the myoelectric HMI is a reliable alternative to traditional HMI. Meanwhile, they show a significant decline in the dominant frequency of myoelectric signals during long-term applications.


2018 ◽  
Vol 44 (6) ◽  
pp. 686-695 ◽  
Author(s):  
I. V. Orlov ◽  
Yu. K. Stolbkov ◽  
Yu. P. Gerasimenko

2009 ◽  
Vol 103 (4) ◽  
pp. 210-222 ◽  
Author(s):  
Jeffrey W. Jutai ◽  
J. Graham Strong ◽  
Elizabeth Russell-Minda

A systematic review of all types of assistive devices indicated the need for more research related to performance measurements and the effectiveness of vision rehabilitation devices.


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