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This paper illustrated a systematic review of some newly developed automated rehabilitation systems, several techniques and biosensors used for these mechanisms, and their function in physically disabled patients. We further point up the application of different software and hardware technologies in the rehabilitation systems to do the whole process real time and online. A systematic search was performed using the IEEE, Springer Link, Pub Med, Elsevier and ACM digital library databases and years are selected from 1996 through 2011. Different key words with their synonyms were used to obtain the desired result. Based on the systematic literature search, 79 articles are identified and studied accurately. These publications included discussion of several biosensors and automated rehabilitation systems with other assistive technologies. Of the 47 types of biosensors applied for rehabilitation systems, we determined that all of the systems are assisted by computer or robot and almost 90% developed systems utilized real-time processes. However, It is not possible to provide a comprehensive review within a single article of all possible biosensors-generated recovery systems, but the references cited herein fulfill the major and maximum theoretical issues, guiding the researcher in interesting research strategies, and suggesting possible rehabilitation techniques that have yet to be explored. Finally, the results suggested that, there are still some body parts not covered by biosensorsupported medical rehabilitation systems aided by suitable hardware, software and other assistive technologies.
This paper illustrated a systematic review of some newly developed automated rehabilitation systems, several techniques and biosensors used for these mechanisms, and their function in physically disabled patients. We further point up the application of different software and hardware technologies in the rehabilitation systems to do the whole process real time and online. A systematic search was performed using the IEEE, Springer Link, Pub Med, Elsevier and ACM digital library databases and years are selected from 1996 through 2011. Different key words with their synonyms were used to obtain the desired result. Based on the systematic literature search, 79 articles are identified and studied accurately. These publications included discussion of several biosensors and automated rehabilitation systems with other assistive technologies. Of the 47 types of biosensors applied for rehabilitation systems, we determined that all of the systems are assisted by computer or robot and almost 90% developed systems utilized real-time processes. However, It is not possible to provide a comprehensive review within a single article of all possible biosensors-generated recovery systems, but the references cited herein fulfill the major and maximum theoretical issues, guiding the researcher in interesting research strategies, and suggesting possible rehabilitation techniques that have yet to be explored. Finally, the results suggested that, there are still some body parts not covered by biosensorsupported medical rehabilitation systems aided by suitable hardware, software and other assistive technologies.
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